AI Solutions Directory
Check out our curated list of AI Tools. Always up to date.
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80+ carefully curated tools spanning content creation, cybersecurity, finance, and automation - each vetted for real-world business impact.
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AI Healthcare Tools
18 solution(s) listed in this category.
Arterys offers AI-based medical imaging solutions that provide comprehensive analysis for radiologists and help in diagnosing and measuring diseases. It supports multiple imaging modalities including MRI and CT scans.
- Overview
- Pricing
Arterys is a leading AI-powered medical imaging and cloud-based radiology solution designed to dramatically improve diagnostic accuracy, clinical workflows, and patient outcomes.
Utilizing state-of-the-art deep learning and AI algorithms, Arterys assists radiologists in analyzing complex imaging data such as MRI, CT, and ultrasound to detect a range of critical diseases including cardiovascular conditions, lung diseases, and various cancers.
One of Arterys’ standout features is its cloud-based platform, which enables real-time collaboration and secure data sharing among radiologists and clinicians across remote locations.
This expands access to specialist insights, reduces diagnostic delays, and supports faster, more informed clinical decisions.
Arterys is FDA-cleared and CE-marked for a range of applications, delivering advanced automated analysis such as perfusion and delayed enhancement in cardiac MRI—the first commercial solution to offer these deep learning-powered tools.
Arterys reduces radiologist workload by automating repetitive and subjective image interpretation tasks, streamlining analysis with features like auto-segmentation and easy editing of measurements.
Compared to traditional or on-premises solutions, Arterys eliminates the need for costly local IT infrastructure, offers seamless web-based access, and ensures compliance with key data privacy regulations (HIPAA, EU GDPR) by erasing personal health information upon scan entry.
This is a decisive edge over legacy systems which often lack interoperability, real-time teamwork, or advanced automation.
Furthermore, Arterys has quickly expanded its use cases and maintains an industry lead in speed (delivering results hours faster), accuracy, and scalability.
For organizations seeking faster throughput, reduced wait times, and improved workflow efficiencies in radiology, Arterys is a premier solution worth considering.
Utilizing state-of-the-art deep learning and AI algorithms, Arterys assists radiologists in analyzing complex imaging data such as MRI, CT, and ultrasound to detect a range of critical diseases including cardiovascular conditions, lung diseases, and various cancers.
One of Arterys’ standout features is its cloud-based platform, which enables real-time collaboration and secure data sharing among radiologists and clinicians across remote locations.
This expands access to specialist insights, reduces diagnostic delays, and supports faster, more informed clinical decisions.
Arterys is FDA-cleared and CE-marked for a range of applications, delivering advanced automated analysis such as perfusion and delayed enhancement in cardiac MRI—the first commercial solution to offer these deep learning-powered tools.
Arterys reduces radiologist workload by automating repetitive and subjective image interpretation tasks, streamlining analysis with features like auto-segmentation and easy editing of measurements.
Compared to traditional or on-premises solutions, Arterys eliminates the need for costly local IT infrastructure, offers seamless web-based access, and ensures compliance with key data privacy regulations (HIPAA, EU GDPR) by erasing personal health information upon scan entry.
This is a decisive edge over legacy systems which often lack interoperability, real-time teamwork, or advanced automation.
Furthermore, Arterys has quickly expanded its use cases and maintains an industry lead in speed (delivering results hours faster), accuracy, and scalability.
For organizations seeking faster throughput, reduced wait times, and improved workflow efficiencies in radiology, Arterys is a premier solution worth considering.
Pricing for Arterys is typically available via custom quotes, depending on the scale and specific modules required by healthcare institutions.
Public sources suggest enterprise pricing models that may range from several thousand to tens of thousands of dollars per year, shaped by usage volume, features licensed (e.g., cardiac MRI, lung, oncology modules), and integration needs.
All pricing includes access to cloud-based updates and ongoing platform enhancements.
Public sources suggest enterprise pricing models that may range from several thousand to tens of thousands of dollars per year, shaped by usage volume, features licensed (e.g., cardiac MRI, lung, oncology modules), and integration needs.
All pricing includes access to cloud-based updates and ongoing platform enhancements.
Babylon Health is an AI-driven healthcare platform that provides virtual consultations with doctors and health assessments. It leverages AI to offer personalized health insights and manage chronic conditions, aiming to make healthcare more accessible and affordable.
- Overview
- Pricing
Babylon Health is an advanced AI-driven healthcare platform that offers a comprehensive ecosystem including AI-powered diagnostic tools, virtual consultations with medical professionals, and robust health monitoring features.
The solution stands out for its user-friendly experience, allowing individuals to access personalized medical advice, track their health metrics, and consult with clinicians remotely—all within a single app.
Babylon Health’s AI diagnostic tool provides symptom checking based on an expansive, structured medical knowledge base, leveraging a powerful Natural Language Processor (NLP) for rapid and accurate assessments.
Users can input symptoms and receive possible diagnoses instantly, followed by consultations with healthcare professionals when needed, thereby saving time and providing convenience over traditional in-person visits.
The system emphasizes patient-centered care through continuous health tracking, monitoring vital health data such as heart rate, activity, and sleep.
This enables personalized recommendations and proactive disease management, especially valuable for chronic disease sufferers.
Babylon Health’s unique integration of AI-driven assessments with human expertise ensures high accuracy, efficiency, and user empowerment.
Compared to conventional solutions, Babylon Health eliminates many geographical, time, and resource barriers, providing round-the-clock healthcare access.
Strategic partnerships with organizations like the UK NHS underline its trustworthiness and scalability.
Unlike many other health apps that might focus on only one facet (e.g., simple symptom checking or appointment booking), Babylon Health offers a holistic, end-to-end healthcare journey from risk assessment and preventive care to chronic disease management, all powered by evidence-based algorithms and real-time professional support.
The platform’s capacity to help users detect illnesses earlier can reduce both the health and financial costs associated with late diagnosis, making healthcare more accessible and affordable.
You should consider Babylon Health if you seek a seamless, technology-forward healthcare solution that prioritizes accessibility, early detection, preventive care, and integration with certified clinician advice.
Its sophisticated AI engines are continuously validated and updated, making it a leader in providing accurate, informative, and engaging digital health experiences.
The solution stands out for its user-friendly experience, allowing individuals to access personalized medical advice, track their health metrics, and consult with clinicians remotely—all within a single app.
Babylon Health’s AI diagnostic tool provides symptom checking based on an expansive, structured medical knowledge base, leveraging a powerful Natural Language Processor (NLP) for rapid and accurate assessments.
Users can input symptoms and receive possible diagnoses instantly, followed by consultations with healthcare professionals when needed, thereby saving time and providing convenience over traditional in-person visits.
The system emphasizes patient-centered care through continuous health tracking, monitoring vital health data such as heart rate, activity, and sleep.
This enables personalized recommendations and proactive disease management, especially valuable for chronic disease sufferers.
Babylon Health’s unique integration of AI-driven assessments with human expertise ensures high accuracy, efficiency, and user empowerment.
Compared to conventional solutions, Babylon Health eliminates many geographical, time, and resource barriers, providing round-the-clock healthcare access.
Strategic partnerships with organizations like the UK NHS underline its trustworthiness and scalability.
Unlike many other health apps that might focus on only one facet (e.g., simple symptom checking or appointment booking), Babylon Health offers a holistic, end-to-end healthcare journey from risk assessment and preventive care to chronic disease management, all powered by evidence-based algorithms and real-time professional support.
The platform’s capacity to help users detect illnesses earlier can reduce both the health and financial costs associated with late diagnosis, making healthcare more accessible and affordable.
You should consider Babylon Health if you seek a seamless, technology-forward healthcare solution that prioritizes accessibility, early detection, preventive care, and integration with certified clinician advice.
Its sophisticated AI engines are continuously validated and updated, making it a leader in providing accurate, informative, and engaging digital health experiences.
Babylon Health's pricing varies by market, service package, and insurance integration.
The app offers both free and paid plans, with virtual consultations generally ranging from $25 to $75 per visit for self-pay users.
Many features, including the symptom checker and basic health tracking, may be available for free, while premium plans or partnerships (e.g., with the NHS) can offer either subsidized or insurance-covered access to most services.
For organizations or enterprise solutions, custom pricing applies depending on scope and coverage provided.
The app offers both free and paid plans, with virtual consultations generally ranging from $25 to $75 per visit for self-pay users.
Many features, including the symptom checker and basic health tracking, may be available for free, while premium plans or partnerships (e.g., with the NHS) can offer either subsidized or insurance-covered access to most services.
For organizations or enterprise solutions, custom pricing applies depending on scope and coverage provided.
Qventus is an AI-based solution that optimizes healthcare operations. It automates complex operational decisions in real-time to manage and improve patient flow, staff scheduling, and resource allocation in hospitals.
- Overview
- Pricing
Qventus is an advanced AI-driven platform specifically designed to automate and optimize critical operations in healthcare settings.
Unlike typical solutions that simply provide analytics, Qventus fully integrates with electronic health records (EHRs), scheduling systems, and various healthcare data sources to transform how hospitals and health systems manage operational workflows.
Its deeply embedded AI and machine learning core continuously analyzes vast amounts of real-time data, uncovering inefficiencies, predicting patient volumes, and providing actionable recommendations.
With these insights, hospital teams can make proactive decisions that significantly improve patient flow, reduce length of stay, and prevent costly bottlenecks.
Qventus distinguishes itself by not only identifying operational issues but by taking automated action on behalf of care teams: it automates discharge planning, documentation, task assignments, and routine administrative processes, freeing clinical staff to focus on patient care rather than paperwork.
This direct automation and orchestration puts Qventus ahead of many standard EHR add-ons or manual process-improvement tools, which often require burdensome user intervention or only provide dashboards.
Hospitals using Qventus have reported outcomes including up to a 35% reduction in excess hospital days, increased bed capacity, less staff burnout, and millions in annual savings.
The platform is trusted by leading health systems across the U.S.
for its proven results in reducing manual work, addressing nursing shortages, shortening emergency department boarding times, and driving revenue growth through optimized operating room utilization and care coordination.
Compared to legacy EHR tools or basic analytics platforms, Qventus offers superior interoperability, actionable and personalized AI-driven recommendations, and the ability to automate interventions—capabilities that drastically reduce manual workload and operational lag.
Client testimonials and case studies note that Qventus delivers ROI that static reporting tools or EHR bolt-ons cannot match, allowing healthcare organizations to scale growth, boost patient and provider satisfaction, and stay ahead of workforce constraints.
Unlike typical solutions that simply provide analytics, Qventus fully integrates with electronic health records (EHRs), scheduling systems, and various healthcare data sources to transform how hospitals and health systems manage operational workflows.
Its deeply embedded AI and machine learning core continuously analyzes vast amounts of real-time data, uncovering inefficiencies, predicting patient volumes, and providing actionable recommendations.
With these insights, hospital teams can make proactive decisions that significantly improve patient flow, reduce length of stay, and prevent costly bottlenecks.
Qventus distinguishes itself by not only identifying operational issues but by taking automated action on behalf of care teams: it automates discharge planning, documentation, task assignments, and routine administrative processes, freeing clinical staff to focus on patient care rather than paperwork.
This direct automation and orchestration puts Qventus ahead of many standard EHR add-ons or manual process-improvement tools, which often require burdensome user intervention or only provide dashboards.
Hospitals using Qventus have reported outcomes including up to a 35% reduction in excess hospital days, increased bed capacity, less staff burnout, and millions in annual savings.
The platform is trusted by leading health systems across the U.S.
for its proven results in reducing manual work, addressing nursing shortages, shortening emergency department boarding times, and driving revenue growth through optimized operating room utilization and care coordination.
Compared to legacy EHR tools or basic analytics platforms, Qventus offers superior interoperability, actionable and personalized AI-driven recommendations, and the ability to automate interventions—capabilities that drastically reduce manual workload and operational lag.
Client testimonials and case studies note that Qventus delivers ROI that static reporting tools or EHR bolt-ons cannot match, allowing healthcare organizations to scale growth, boost patient and provider satisfaction, and stay ahead of workforce constraints.
As of 2025, specific Qventus pricing is not publicly disclosed and likely varies based on the size and needs of the health system, as well as chosen modules and level of integration.
Typical enterprise healthcare AI platforms of this scope often operate under a software-as-a-service (SaaS) model, with costs that may range from tens to hundreds of thousands of US dollars annually per hospital depending on deployment scale, number of modules, and integration complexity.
Custom pricing is generally provided upon request.
Typical enterprise healthcare AI platforms of this scope often operate under a software-as-a-service (SaaS) model, with costs that may range from tens to hundreds of thousands of US dollars annually per hospital depending on deployment scale, number of modules, and integration complexity.
Custom pricing is generally provided upon request.
Zebra Medical Vision provides a radiology AI solution that reads medical imaging scans and helps radiologists with faster and more accurate diagnoses. It applies deep learning algorithms to support various diagnostic processes.
- Overview
- Pricing
Zebra Medical Vision is a leading artificial intelligence (AI) solution for medical imaging, purpose-built to assist radiologists and healthcare providers in the early detection and diagnosis of a wide spectrum of diseases.
Its platform applies advanced machine learning and deep learning algorithms to a massive database of X-rays, CT scans, and MRIs, enabling the software to identify cardiovascular diseases, lung conditions, breast cancer, fractures, liver diseases, brain bleeds, and more with exceptional precision.
Zebra Medical Vision stands out for enabling early disease detection, which supports timely interventions and can significantly improve patient outcomes.
It directly integrates with hospital picture archiving and communication systems (PACS) and electronic health records (EHR), providing real-time analysis and alerts that fit into a radiologist's existing workflow, boosting efficiency and minimizing disruptions.
The key reasons to consider Zebra Medical Vision include its proven ability to reduce missed diagnoses by up to 30%, as documented by hospitals that have implemented its AI algorithms.
Its automated reporting and workflow streamlining free radiologists to focus on complex cases, enhance diagnostic accuracy, and improve overall care quality.
Compared to other AI solutions, Zebra Medical Vision's platform is highly scalable—suitable for institutions of all sizes—and is bundled as an all-in-one solution, granting access to an expanding suite of FDA-cleared tools within a single, fixed, affordable fee structure.
What further differentiates Zebra Medical Vision is its commitment to affordability and accessibility worldwide through its AI1 program, offering a flat price per scan so institutions can budget effectively without sacrificing access to best-in-class technology.
The system is also designed to seamlessly fit existing healthcare IT, provides real-time triage and prioritization for urgent cases, and ensures HIPAA and GDPR compliance, safeguarding patient data privacy and security.
Unlike many competitors that may require piecemeal integrations or separate licensing for each diagnostic tool, Zebra Medical Vision uniquely provides a comprehensive, constantly updated suite of FDA-cleared AI models covering multiple modalities, including first-in-market solutions for urgent triage (such as intracranial hemorrhages on both CTs and X-rays).
This not only accelerates clinical workflows but also maximizes the value delivered per investment dollar for healthcare providers worldwide.
Its platform applies advanced machine learning and deep learning algorithms to a massive database of X-rays, CT scans, and MRIs, enabling the software to identify cardiovascular diseases, lung conditions, breast cancer, fractures, liver diseases, brain bleeds, and more with exceptional precision.
Zebra Medical Vision stands out for enabling early disease detection, which supports timely interventions and can significantly improve patient outcomes.
It directly integrates with hospital picture archiving and communication systems (PACS) and electronic health records (EHR), providing real-time analysis and alerts that fit into a radiologist's existing workflow, boosting efficiency and minimizing disruptions.
The key reasons to consider Zebra Medical Vision include its proven ability to reduce missed diagnoses by up to 30%, as documented by hospitals that have implemented its AI algorithms.
Its automated reporting and workflow streamlining free radiologists to focus on complex cases, enhance diagnostic accuracy, and improve overall care quality.
Compared to other AI solutions, Zebra Medical Vision's platform is highly scalable—suitable for institutions of all sizes—and is bundled as an all-in-one solution, granting access to an expanding suite of FDA-cleared tools within a single, fixed, affordable fee structure.
What further differentiates Zebra Medical Vision is its commitment to affordability and accessibility worldwide through its AI1 program, offering a flat price per scan so institutions can budget effectively without sacrificing access to best-in-class technology.
The system is also designed to seamlessly fit existing healthcare IT, provides real-time triage and prioritization for urgent cases, and ensures HIPAA and GDPR compliance, safeguarding patient data privacy and security.
Unlike many competitors that may require piecemeal integrations or separate licensing for each diagnostic tool, Zebra Medical Vision uniquely provides a comprehensive, constantly updated suite of FDA-cleared AI models covering multiple modalities, including first-in-market solutions for urgent triage (such as intracranial hemorrhages on both CTs and X-rays).
This not only accelerates clinical workflows but also maximizes the value delivered per investment dollar for healthcare providers worldwide.
Zebra Medical Vision offers its AI imaging solutions through a low flat price per scan or a fixed, affordable annual fee that includes access to all current and future FDA-cleared algorithms.
This transparency in pricing, combined with its all-in-one model, sets it apart from competitors who often charge per module or feature.
Pricing is designed to be accessible for institutions of all sizes, but specific figures are typically customized based on the volume of scans and the size of the healthcare provider.
This transparency in pricing, combined with its all-in-one model, sets it apart from competitors who often charge per module or feature.
Pricing is designed to be accessible for institutions of all sizes, but specific figures are typically customized based on the volume of scans and the size of the healthcare provider.
Aidoc provides AI-powered solutions that help radiologists improve efficiency and efficacy by flagging acute anomalies in real time, expediting patient treatment and improving quality of care.
- Overview
- Pricing
Aidoc is a comprehensive healthcare AI platform designed to revolutionize medical imaging and clinical workflows, primarily aimed at radiologists and care teams.
Its flagship aiOS™ platform incorporates a growing suite of CE-marked and FDA-cleared algorithms that automatically analyze medical images in real-time, detecting critical and incidental findings such as vessel occlusion, aortic dissection, vertebral compression fractures, and more.
Aidoc’s solution distinguishes itself by offering 26 approved algorithms (17 of which are developed in-house), making it one of the most complete portfolios available for radiology departments and hospital systems, and granting it extensive deployment across over 400 sites worldwide.
You should consider Aidoc because it addresses major challenges in radiology—including radiologist burnout, increasing imaging volumes, need for rapid triage, and growing demand for teleradiology services.
Unlike siloed AI tools that target single pathologies, Aidoc’s system applies multiple algorithms on every relevant scan without user intervention, thus maximizing the yield of actionable findings.
Its orchestration engine ensures every image is scrutinized for all possible abnormalities, not just those initially suspected, increasing detection rates and patient throughput while serving as a safety net for radiologists during demanding shifts.
What sets Aidoc apart from other solutions is its orchestration layer: all algorithms are 'always on,' analyzing every anatomical region visible in a scan, regardless of the original clinical question.
This maximizes detection opportunities and prevents missed findings, unlike competitors that require specific studies or manual input.
Aidoc’s workflow integration also reduces administrative burden, streamlines patient triage, and supports real-time alerts, which collectively lead to reduced turnaround times, better prioritization, and improved patient outcomes.
Its proven ability to function at scale is evidenced by its service to over 400,000 patients in remote and high-volume settings, supporting radiologists to focus on clinical care rather than repetitive or time-consuming review tasks.
Aidoc has also strategically partnered with other leading solutions, expanding its aiOS™ ecosystem for an end-to-end offering that covers everything from initial image triage to quantitative disease measurement and care coordination—making it a leader in fully integrated, enterprise-grade radiology AI.
In summary, Aidoc offers unparalleled breadth, seamless workflow integration, and measurable improvements in diagnostic accuracy and speed—solving real clinical pain points and setting itself apart as a leader in effective, always-on clinical imaging AI.
Its flagship aiOS™ platform incorporates a growing suite of CE-marked and FDA-cleared algorithms that automatically analyze medical images in real-time, detecting critical and incidental findings such as vessel occlusion, aortic dissection, vertebral compression fractures, and more.
Aidoc’s solution distinguishes itself by offering 26 approved algorithms (17 of which are developed in-house), making it one of the most complete portfolios available for radiology departments and hospital systems, and granting it extensive deployment across over 400 sites worldwide.
You should consider Aidoc because it addresses major challenges in radiology—including radiologist burnout, increasing imaging volumes, need for rapid triage, and growing demand for teleradiology services.
Unlike siloed AI tools that target single pathologies, Aidoc’s system applies multiple algorithms on every relevant scan without user intervention, thus maximizing the yield of actionable findings.
Its orchestration engine ensures every image is scrutinized for all possible abnormalities, not just those initially suspected, increasing detection rates and patient throughput while serving as a safety net for radiologists during demanding shifts.
What sets Aidoc apart from other solutions is its orchestration layer: all algorithms are 'always on,' analyzing every anatomical region visible in a scan, regardless of the original clinical question.
This maximizes detection opportunities and prevents missed findings, unlike competitors that require specific studies or manual input.
Aidoc’s workflow integration also reduces administrative burden, streamlines patient triage, and supports real-time alerts, which collectively lead to reduced turnaround times, better prioritization, and improved patient outcomes.
Its proven ability to function at scale is evidenced by its service to over 400,000 patients in remote and high-volume settings, supporting radiologists to focus on clinical care rather than repetitive or time-consuming review tasks.
Aidoc has also strategically partnered with other leading solutions, expanding its aiOS™ ecosystem for an end-to-end offering that covers everything from initial image triage to quantitative disease measurement and care coordination—making it a leader in fully integrated, enterprise-grade radiology AI.
In summary, Aidoc offers unparalleled breadth, seamless workflow integration, and measurable improvements in diagnostic accuracy and speed—solving real clinical pain points and setting itself apart as a leader in effective, always-on clinical imaging AI.
Aidoc does not publicly disclose fixed pricing, as costs depend on the size of the healthcare provider, deployment scale, and package of AI modules.
Industry sources and anecdotal reports suggest pricing is typically structured as an annual subscription or per-scan fee, ranging from approximately $50,000 to $200,000+ per year for mid- to large-sized hospitals.
Pricing may vary for bundled algorithm packs, enterprise features, or international deployments; prospective clients should contact Aidoc directly for a tailored quote.
Industry sources and anecdotal reports suggest pricing is typically structured as an annual subscription or per-scan fee, ranging from approximately $50,000 to $200,000+ per year for mid- to large-sized hospitals.
Pricing may vary for bundled algorithm packs, enterprise features, or international deployments; prospective clients should contact Aidoc directly for a tailored quote.
PathAI provides AI-powered technology to assist pathologists in making rapid and accurate diagnoses. Their solutions focus on improving the accuracy of pathology diagnosis and are used in hospitals and research settings to enhance patient outcomes.
- Overview
- Pricing
PathAI is a cutting-edge AI-driven solution designed to revolutionize the field of digital pathology by providing advanced tools for pathologists and laboratories.
The platform excels in automating and enhancing pathology workflows, offering features such as Guided Algorithm Review, Z-Stack Image Support, comprehensive reporting, seamless system integrations, mobile accessibility, and robust security with Single Sign-On.
What sets PathAI apart is its focus on both diagnostic accuracy and workflow efficiency.
The Guided Algorithm Review empowers pathologists by algorithmically highlighting key Fields of Interest (FOIs), substantially reducing the time and subjectivity in identifying critical tissue regions in diagnostic slides.
This allows professionals to dedicate their expertise where it's most needed, making complex tasks like tumor detection and biomarker quantification much more efficient and reproducible.
Z-Stack Image Support gives users advanced multi-layer imaging, which is invaluable for nuanced cytology analysis and provides a 3D-like representation akin to traditional microscopy but with digital precision.
PathAI’s interoperability features ensure it integrates smoothly with electronic health records (EHR) and laboratory information systems (LIS), streamlining operations and minimizing manual data entry errors.
Compared to traditional and many competing digital pathology solutions, PathAI stands out for its ability to integrate third-party AI algorithms, enabling flexible, unified workflows and adaptability to evolving industry standards.
The platform’s extensive reporting capabilities offer actionable insights into diagnostic accuracy, operational efficiency, and patient outcomes, delivering measurable value to healthcare providers and diagnostic labs.
Moreover, PathAI's recently launched Precision Pathology Network (PPN) extends access to its AI tools across a collaborative digital lab ecosystem, unlocking real-world data value and supporting biopharma research at scale.
In sum, PathAI is ideal for organizations seeking to modernize pathology, improve diagnostic accuracy, reduce errors, enhance operational workflows, and gain competitive advantages through advanced, interoperable AI technology.
The platform excels in automating and enhancing pathology workflows, offering features such as Guided Algorithm Review, Z-Stack Image Support, comprehensive reporting, seamless system integrations, mobile accessibility, and robust security with Single Sign-On.
What sets PathAI apart is its focus on both diagnostic accuracy and workflow efficiency.
The Guided Algorithm Review empowers pathologists by algorithmically highlighting key Fields of Interest (FOIs), substantially reducing the time and subjectivity in identifying critical tissue regions in diagnostic slides.
This allows professionals to dedicate their expertise where it's most needed, making complex tasks like tumor detection and biomarker quantification much more efficient and reproducible.
Z-Stack Image Support gives users advanced multi-layer imaging, which is invaluable for nuanced cytology analysis and provides a 3D-like representation akin to traditional microscopy but with digital precision.
PathAI’s interoperability features ensure it integrates smoothly with electronic health records (EHR) and laboratory information systems (LIS), streamlining operations and minimizing manual data entry errors.
Compared to traditional and many competing digital pathology solutions, PathAI stands out for its ability to integrate third-party AI algorithms, enabling flexible, unified workflows and adaptability to evolving industry standards.
The platform’s extensive reporting capabilities offer actionable insights into diagnostic accuracy, operational efficiency, and patient outcomes, delivering measurable value to healthcare providers and diagnostic labs.
Moreover, PathAI's recently launched Precision Pathology Network (PPN) extends access to its AI tools across a collaborative digital lab ecosystem, unlocking real-world data value and supporting biopharma research at scale.
In sum, PathAI is ideal for organizations seeking to modernize pathology, improve diagnostic accuracy, reduce errors, enhance operational workflows, and gain competitive advantages through advanced, interoperable AI technology.
Pricing for PathAI is not publicly disclosed and generally depends on the scope of deployment, integration needs, and usage volume.
Solutions are typically tailored for enterprise or institutional partnerships, with costs varying based on the size of the laboratory network, volume of image analyses, and desired features.
Interested organizations should contact PathAI directly for customized pricing proposals.
Solutions are typically tailored for enterprise or institutional partnerships, with costs varying based on the size of the laboratory network, volume of image analyses, and desired features.
Interested organizations should contact PathAI directly for customized pricing proposals.
Tempus uses AI to analyze clinical and molecular data to personalize cancer treatment. It offers solutions in oncology, neurology, and infectious diseases by leveraging AI-driven insights for better patient outcomes.
- Overview
- Pricing
Tempus is a leading AI-powered precision medicine company revolutionizing healthcare through advanced data integration, analytics, and personalized treatment solutions.
Founded in 2015, Tempus has developed a comprehensive platform that aggregates and harmonizes diverse healthcare data—from genomics and anatomic pathology slides to radiology images, real-world evidence, and electronic health records.
Using state-of-the-art machine learning and generative AI, Tempus delivers actionable insights that help physicians tailor treatments to individual patients, particularly in oncology and cardiology.
Key advantages of Tempus over other healthcare AI solutions include its deep focus on multimodal data integration, which provides a much richer, more holistic view of patient health compared to platforms that rely on isolated or disease-specific datasets.
This allows Tempus to enable 'Intelligent Diagnostics,' merging molecular, phenotypic, and longitudinal clinical data for more accurate, personalized diagnostics and therapy recommendations.
Tempus solutions suggest optimal treatment options, identify patients suitable for clinical trials, and continuously monitor treatment responses in real time, all while accelerating research through access to vast anonymized datasets for developing novel drugs and diagnostics.
A standout innovation is the Tempus Loop platform, which leverages real-world data, human biologies, and CRISPR screening to rapidly discover and validate new drug targets, addressing a major industry challenge in translating lab experiments into real patient outcomes more reliably than traditional models.
Recent products like Olivia, the AI-powered personal health concierge app, empower patients to manage their data, sync wearables, and proactively track daily metrics—amplifying patient engagement and healthcare delivery.
Compared to traditional or narrowly focused healthcare AI systems, Tempus distinguishes itself with its scale, breadth of data, seamless EHR integration, and sophisticated analytics, all of which collectively drive improved patient outcomes, reduced unnecessary costs, and faster therapeutics discovery.
This makes Tempus an essential solution for health organizations seeking to modernize care, enhance decisions, and positively impact patient journeys.
Founded in 2015, Tempus has developed a comprehensive platform that aggregates and harmonizes diverse healthcare data—from genomics and anatomic pathology slides to radiology images, real-world evidence, and electronic health records.
Using state-of-the-art machine learning and generative AI, Tempus delivers actionable insights that help physicians tailor treatments to individual patients, particularly in oncology and cardiology.
Key advantages of Tempus over other healthcare AI solutions include its deep focus on multimodal data integration, which provides a much richer, more holistic view of patient health compared to platforms that rely on isolated or disease-specific datasets.
This allows Tempus to enable 'Intelligent Diagnostics,' merging molecular, phenotypic, and longitudinal clinical data for more accurate, personalized diagnostics and therapy recommendations.
Tempus solutions suggest optimal treatment options, identify patients suitable for clinical trials, and continuously monitor treatment responses in real time, all while accelerating research through access to vast anonymized datasets for developing novel drugs and diagnostics.
A standout innovation is the Tempus Loop platform, which leverages real-world data, human biologies, and CRISPR screening to rapidly discover and validate new drug targets, addressing a major industry challenge in translating lab experiments into real patient outcomes more reliably than traditional models.
Recent products like Olivia, the AI-powered personal health concierge app, empower patients to manage their data, sync wearables, and proactively track daily metrics—amplifying patient engagement and healthcare delivery.
Compared to traditional or narrowly focused healthcare AI systems, Tempus distinguishes itself with its scale, breadth of data, seamless EHR integration, and sophisticated analytics, all of which collectively drive improved patient outcomes, reduced unnecessary costs, and faster therapeutics discovery.
This makes Tempus an essential solution for health organizations seeking to modernize care, enhance decisions, and positively impact patient journeys.
Tempus does not provide public, consumer-facing pricing.
Service costs generally depend on the specific solution, such as molecular profiling tests, data analytics, or access to platforms like Loop or Olivia.
Prices may range from a few hundred dollars for individual diagnostic tests to higher enterprise or partnership-level agreements for clinical decision support, research platforms, or large-scale integrations.
Healthcare providers, research institutions, and pharmaceutical companies typically negotiate custom pricing based on scale, data needs, and features.
For most users, Tempus’ solutions are accessed via healthcare providers, with costs often billed through insurance or institutional agreements.
Service costs generally depend on the specific solution, such as molecular profiling tests, data analytics, or access to platforms like Loop or Olivia.
Prices may range from a few hundred dollars for individual diagnostic tests to higher enterprise or partnership-level agreements for clinical decision support, research platforms, or large-scale integrations.
Healthcare providers, research institutions, and pharmaceutical companies typically negotiate custom pricing based on scale, data needs, and features.
For most users, Tempus’ solutions are accessed via healthcare providers, with costs often billed through insurance or institutional agreements.
Butterfly Network provides an AI-powered handheld, pocket-sized ultrasound device that uses advanced imaging technology to offer medical imaging solutions for healthcare professionals, enhancing diagnosis and treatment support.
- Overview
- Pricing
Butterfly Network is an advanced, AI-powered portable ultrasound solution aimed at democratizing access to medical imaging by transforming smartphones and tablets into point-of-care ultrasound devices.
The core of the solution is the Butterfly iQ+, which leverages proprietary Ultrasound-on-Chip™ semiconductor technology to deliver high-resolution images across multiple anatomical presets and imaging modes, including B-Mode, Color Doppler, and Power Doppler.
Artificial intelligence is deeply integrated, enabling features like the FDA-cleared Auto B-line Counter for lung assessment and AI guidance tools that support clinicians in acquiring and interpreting images accurately and quickly—even those without extensive ultrasound experience.
Unlike traditional ultrasound systems, which are often bulky, expensive, and require significant training, Butterfly Network's approach is user-friendly, mobile-first, and designed for system-wide hospital deployment through Butterfly Blueprint.
This platform integrates seamlessly with hospital medical records, PACS, and administrative systems, and offers device-agnostic software and a growing marketplace of specialized AI applications (Butterfly Garden), allowing for continuous expansion of capabilities.
Unique advantages over competitors include: (1) unmatched portability and ease of use, allowing clinicians to perform ultrasound imaging anywhere with a compatible mobile device; (2) advanced AI-guided workflows to ensure high diagnostic quality regardless of operator skill; (3) robust cloud-based storage and fleet management, compliant with HIPAA standards; and (4) a diverse, extensive dataset underpinning its AI algorithms, enhancing performance across patient populations and supporting equitable healthcare access.
Furthermore, Butterfly’s affordable pricing and scalable deployment options make it accessible for a broad range of clinical settings, addressing the limitations of cost and accessibility found in legacy ultrasound and imaging systems.
The core of the solution is the Butterfly iQ+, which leverages proprietary Ultrasound-on-Chip™ semiconductor technology to deliver high-resolution images across multiple anatomical presets and imaging modes, including B-Mode, Color Doppler, and Power Doppler.
Artificial intelligence is deeply integrated, enabling features like the FDA-cleared Auto B-line Counter for lung assessment and AI guidance tools that support clinicians in acquiring and interpreting images accurately and quickly—even those without extensive ultrasound experience.
Unlike traditional ultrasound systems, which are often bulky, expensive, and require significant training, Butterfly Network's approach is user-friendly, mobile-first, and designed for system-wide hospital deployment through Butterfly Blueprint.
This platform integrates seamlessly with hospital medical records, PACS, and administrative systems, and offers device-agnostic software and a growing marketplace of specialized AI applications (Butterfly Garden), allowing for continuous expansion of capabilities.
Unique advantages over competitors include: (1) unmatched portability and ease of use, allowing clinicians to perform ultrasound imaging anywhere with a compatible mobile device; (2) advanced AI-guided workflows to ensure high diagnostic quality regardless of operator skill; (3) robust cloud-based storage and fleet management, compliant with HIPAA standards; and (4) a diverse, extensive dataset underpinning its AI algorithms, enhancing performance across patient populations and supporting equitable healthcare access.
Furthermore, Butterfly’s affordable pricing and scalable deployment options make it accessible for a broad range of clinical settings, addressing the limitations of cost and accessibility found in legacy ultrasound and imaging systems.
Butterfly Network's solutions are positioned to be significantly more affordable than traditional ultrasound systems, with handheld devices such as the Butterfly iQ+ historically priced in the range of approximately $2,000 to $2,500 USD per device, alongside optional software subscriptions for features like advanced AI tools, education modules, and cloud storage.
Large-scale deployment options such as Butterfly Blueprint are available for hospitals and health systems, with pricing tailored to organizational needs.
Compared to conventional systems that can cost tens of thousands of dollars, Butterfly offers a cost-effective, subscription-friendly approach, making state-of-the-art ultrasound accessible to a wider clinical audience.
Large-scale deployment options such as Butterfly Blueprint are available for hospitals and health systems, with pricing tailored to organizational needs.
Compared to conventional systems that can cost tens of thousands of dollars, Butterfly offers a cost-effective, subscription-friendly approach, making state-of-the-art ultrasound accessible to a wider clinical audience.
Viz.ai is a leading AI-powered healthcare platform that integrates with hospital systems to accelerate diagnosis and treatment of diseases like stroke by using AI to automatically detect large vessel occlusions from CT scans.
- Overview
- Pricing
Viz.ai is a leading AI-powered care coordination platform designed to transform the way healthcare teams detect, triage, and manage critical medical conditions such as stroke, cardiovascular diseases, and trauma.
Built with advanced, cloud-native artificial intelligence and featuring over 50 FDA-cleared algorithms, Viz.ai automates disease detection by analyzing imaging data—including CT, MRI, EKGs, and echocardiograms—in real time.
This dramatically shortens the time from patient presentation to diagnosis and treatment, directly impacting patient outcomes by accelerating life-saving interventions.
Unlike traditional solutions which often involve slow, manual workflows confined to individual hospitals, Viz.ai’s cloud-based platform enables seamless communication and collaboration across multidisciplinary care teams, regardless of their physical location.
It integrates directly with hospital EHRs and PACS, offering instant alerts and access to high-fidelity imaging and contextual patient data on any device.
This ensures both acute and non-acute cases are managed efficiently and patients are rapidly directed to the right care pathway.
Viz.ai stands out from other solutions for its scale—trusted by over 1700 hospitals globally, including most of the top U.S.
healthcare systems—and its demonstrated real-world impact, supported by 100+ clinical abstracts and publications.
The platform is certified for HIPAA, SOC 2, and ISO 27001 compliance, providing assurance regarding privacy and security.
Key reasons to consider Viz.ai include its proven ability to streamline workflows, save clinicians time, enhance multi-provider coordination, and ultimately improve clinical and economic outcomes.
Competing platforms rarely offer such a broad suite of disease-specific AI algorithms or such deep integration with existing clinical infrastructure, nor do they match Viz.ai’s extensive clinical validation and broad market adoption.
Built with advanced, cloud-native artificial intelligence and featuring over 50 FDA-cleared algorithms, Viz.ai automates disease detection by analyzing imaging data—including CT, MRI, EKGs, and echocardiograms—in real time.
This dramatically shortens the time from patient presentation to diagnosis and treatment, directly impacting patient outcomes by accelerating life-saving interventions.
Unlike traditional solutions which often involve slow, manual workflows confined to individual hospitals, Viz.ai’s cloud-based platform enables seamless communication and collaboration across multidisciplinary care teams, regardless of their physical location.
It integrates directly with hospital EHRs and PACS, offering instant alerts and access to high-fidelity imaging and contextual patient data on any device.
This ensures both acute and non-acute cases are managed efficiently and patients are rapidly directed to the right care pathway.
Viz.ai stands out from other solutions for its scale—trusted by over 1700 hospitals globally, including most of the top U.S.
healthcare systems—and its demonstrated real-world impact, supported by 100+ clinical abstracts and publications.
The platform is certified for HIPAA, SOC 2, and ISO 27001 compliance, providing assurance regarding privacy and security.
Key reasons to consider Viz.ai include its proven ability to streamline workflows, save clinicians time, enhance multi-provider coordination, and ultimately improve clinical and economic outcomes.
Competing platforms rarely offer such a broad suite of disease-specific AI algorithms or such deep integration with existing clinical infrastructure, nor do they match Viz.ai’s extensive clinical validation and broad market adoption.
Viz.ai pricing generally depends on the size and needs of the institution, volume of scans, and selected modules or therapeutic areas.
While exact pricing is typically provided on a custom-quote basis, published indications suggest pricing may range from tens of thousands to several hundred thousand USD annually for a hospital or health system, depending on scale and deployment specifics.
Prospective customers should reach out directly to Viz.ai for detailed pricing and tailored packages.
While exact pricing is typically provided on a custom-quote basis, published indications suggest pricing may range from tens of thousands to several hundred thousand USD annually for a hospital or health system, depending on scale and deployment specifics.
Prospective customers should reach out directly to Viz.ai for detailed pricing and tailored packages.
DeepMind Health develops AI solutions to assist in diagnosing and managing diseases. It collaborates with clinicians to apply machine learning to healthcare, focusing on areas like eye disease diagnosis and patient deterioration prediction.
- Overview
- Pricing
DeepMind Health is an advanced AI-powered healthcare solution engineered to significantly enhance diagnosis, treatment planning, and patient care.
Driven by cutting-edge deep learning and natural language processing technologies, DeepMind Health aims to give healthcare professionals powerful tools for analyzing complex medical data, including electronic health records (EHRs), medical imaging, and real-time patient metrics.
Healthcare providers should consider DeepMind Health because it offers predictive analytics—enabling early disease detection and proactive interventions—by integrating data from imaging, lab results, and unstructured clinical text.
This deep integration provides clinicians with a comprehensive, holistic view of a patient’s health, improving diagnostic accuracy and care quality.
DeepMind Health’s unique strengths compared to other solutions include its ability to process massive data volumes in real-time, extract critical information from unstructured notes using advanced natural language processing, and offer evidence-based clinical decision support.
For example, its AI has demonstrated diagnostic accuracy for conditions like eye disease that rivals leading specialists, and it has robust capabilities in remote monitoring and early detection of patient deterioration, which can help reduce hospital readmission rates and enhance healthcare efficiency.
In contrast to traditional manual approaches, DeepMind Health automates the identification of subtle disease markers in medical images and predicts high-risk patients, allowing for timely, targeted interventions that many competing platforms cannot match.
Its proactive, population-level predictive modeling and integration of patient-generated data from wearables and sensors further set it apart, supporting not just individual diagnosis but ongoing, continuous care management.
By leveraging such advanced algorithms and tools, DeepMind Health addresses challenges in data overload, diagnostic error, and resource allocation—helping healthcare systems shift from reactive to preventive models and enabling better health outcomes across diverse patient groups.
Driven by cutting-edge deep learning and natural language processing technologies, DeepMind Health aims to give healthcare professionals powerful tools for analyzing complex medical data, including electronic health records (EHRs), medical imaging, and real-time patient metrics.
Healthcare providers should consider DeepMind Health because it offers predictive analytics—enabling early disease detection and proactive interventions—by integrating data from imaging, lab results, and unstructured clinical text.
This deep integration provides clinicians with a comprehensive, holistic view of a patient’s health, improving diagnostic accuracy and care quality.
DeepMind Health’s unique strengths compared to other solutions include its ability to process massive data volumes in real-time, extract critical information from unstructured notes using advanced natural language processing, and offer evidence-based clinical decision support.
For example, its AI has demonstrated diagnostic accuracy for conditions like eye disease that rivals leading specialists, and it has robust capabilities in remote monitoring and early detection of patient deterioration, which can help reduce hospital readmission rates and enhance healthcare efficiency.
In contrast to traditional manual approaches, DeepMind Health automates the identification of subtle disease markers in medical images and predicts high-risk patients, allowing for timely, targeted interventions that many competing platforms cannot match.
Its proactive, population-level predictive modeling and integration of patient-generated data from wearables and sensors further set it apart, supporting not just individual diagnosis but ongoing, continuous care management.
By leveraging such advanced algorithms and tools, DeepMind Health addresses challenges in data overload, diagnostic error, and resource allocation—helping healthcare systems shift from reactive to preventive models and enabling better health outcomes across diverse patient groups.
DeepMind Health’s solutions are typically available through custom enterprise agreements, with costs varying widely depending on deployment scale, feature set, and required integration.
As with most leading healthcare AI offerings, pricing may also include pilot projects or research partnerships, often requiring direct engagement for a tailored quote.
Comparable healthcare AI solutions generally range from $100,000 annually for limited deployments to millions of dollars per year for large-scale, integrated health system rollouts.
As with most leading healthcare AI offerings, pricing may also include pilot projects or research partnerships, often requiring direct engagement for a tailored quote.
Comparable healthcare AI solutions generally range from $100,000 annually for limited deployments to millions of dollars per year for large-scale, integrated health system rollouts.
Freenome is an AI-powered platform that uses machine learning to detect early-stage cancer through non-invasive blood tests. It specializes in the early diagnosis of cancer, significantly impacting patient outcomes by identifying cancer at stages when it is most treatable.
- Overview
- Pricing
Freenome is an AI-powered genomics platform dedicated to the early detection of cancer, setting itself apart through its innovative use of multiomics and machine learning.
Unlike traditional screening methods, which often rely on invasive procedures or single data types, Freenome's noninvasive blood tests analyze a comprehensive array of biomarkers—including cell-free DNA (cfDNA), cfRNA, and proteins—to identify cancer signals at the earliest, most treatable stages.
This multiomics approach increases detection sensitivity by capturing tumor and non-tumor signals, immune responses, and gene expression changes that other solutions might miss.
Freenome addresses the persistent problem of low patient adherence to standard screening, such as colonoscopies, which are often considered uncomfortable and inconvenient.
With a simple blood draw, Freenome offers a more accessible and less invasive alternative that enhances participation and reaches underserved communities, as demonstrated in large studies like PREEMPT CRC.
The platform's flexibility enables rapid iteration and extension to other cancers, guided by real-world data and computational advances.
Compared to conventional single-analyte tests or older diagnostic tools, Freenome's solution not only improves the likelihood of early detection but also bridges the gap between research and clinical practice.
By enabling broader, easier screening, Freenome holds promise for improving cancer survival rates, especially for types with high unmet early diagnosis needs such as colorectal, pancreatic, and lung cancers.
Unlike traditional screening methods, which often rely on invasive procedures or single data types, Freenome's noninvasive blood tests analyze a comprehensive array of biomarkers—including cell-free DNA (cfDNA), cfRNA, and proteins—to identify cancer signals at the earliest, most treatable stages.
This multiomics approach increases detection sensitivity by capturing tumor and non-tumor signals, immune responses, and gene expression changes that other solutions might miss.
Freenome addresses the persistent problem of low patient adherence to standard screening, such as colonoscopies, which are often considered uncomfortable and inconvenient.
With a simple blood draw, Freenome offers a more accessible and less invasive alternative that enhances participation and reaches underserved communities, as demonstrated in large studies like PREEMPT CRC.
The platform's flexibility enables rapid iteration and extension to other cancers, guided by real-world data and computational advances.
Compared to conventional single-analyte tests or older diagnostic tools, Freenome's solution not only improves the likelihood of early detection but also bridges the gap between research and clinical practice.
By enabling broader, easier screening, Freenome holds promise for improving cancer survival rates, especially for types with high unmet early diagnosis needs such as colorectal, pancreatic, and lung cancers.
Freenome's blood-based early cancer detection tests are typically offered on a per-test basis, with pricing varying depending on payer contracts, geography, and healthcare provider arrangements.
While exact prices are not publicly disclosed, advanced blood-based cancer screening tests are generally priced in the range of several hundred to over a thousand dollars per test.
Patients are encouraged to consult with their healthcare provider or Freenome for precise cost and coverage details relevant to their situation.
While exact prices are not publicly disclosed, advanced blood-based cancer screening tests are generally priced in the range of several hundred to over a thousand dollars per test.
Patients are encouraged to consult with their healthcare provider or Freenome for precise cost and coverage details relevant to their situation.
Olive AI is a healthcare-focused AI company that automates repetitive, high-volume tasks and workflows for healthcare providers. It helps to streamline administrative processes, improve operational efficiency, and enhance patient care by integrating into existing systems to increase productivity and reduce costs.
- Overview
- Pricing
Olive AI is an advanced platform designed to redefine workflow automation and knowledge management for modern organizations.
It leverages agentic artificial intelligence to automate high-volume, time-consuming tasks and to transform scattered company data into an easily accessible, intelligent knowledge base.
Olive AI sets itself apart by combining true agentic capabilities—such as autonomous planning and context-aware task execution—with seamless integration across critical business tools, including CRMs, productivity suites, and third-party APIs.
Its core purpose is to address problems faced by enterprises drowning in disparate messages, unstructured documents, and siloed data.
Olive automates workflows not just by layering AI over existing systems, but by orchestrating multi-agent processes that can retrieve, synthesize, and deliver relevant insights in real time, enabling employees to work smarter and more efficiently.
Compared to legacy solutions, Olive offers superior customization, extensibility, and governance controls.
Unlike platforms that provide only surface-level AI augmentation, Olive delivers robust autonomy, granular access control, security, and enterprise scalability.
Its no-code/low-code environments and SDKs cater to both technical and non-technical users, while comprehensive logging and error handling increase reliability and trust.
Olive has been widely adopted across healthcare and enterprise industries, with over 600 hospitals using its digital employee automation to streamline finance, HR, supply chain, and patient operations.
Enterprises considering Olive benefit from increased productivity, reduced onboarding times, stronger institutional memory, and fewer repeated questions or manual processes.
For teams looking for a dependable, adaptive, and secure AI companion to amplify their workforce, Olive presents a feature-rich solution that outpaces simpler AI plug-ins or basic document search platforms in measurable real-world impact.
It leverages agentic artificial intelligence to automate high-volume, time-consuming tasks and to transform scattered company data into an easily accessible, intelligent knowledge base.
Olive AI sets itself apart by combining true agentic capabilities—such as autonomous planning and context-aware task execution—with seamless integration across critical business tools, including CRMs, productivity suites, and third-party APIs.
Its core purpose is to address problems faced by enterprises drowning in disparate messages, unstructured documents, and siloed data.
Olive automates workflows not just by layering AI over existing systems, but by orchestrating multi-agent processes that can retrieve, synthesize, and deliver relevant insights in real time, enabling employees to work smarter and more efficiently.
Compared to legacy solutions, Olive offers superior customization, extensibility, and governance controls.
Unlike platforms that provide only surface-level AI augmentation, Olive delivers robust autonomy, granular access control, security, and enterprise scalability.
Its no-code/low-code environments and SDKs cater to both technical and non-technical users, while comprehensive logging and error handling increase reliability and trust.
Olive has been widely adopted across healthcare and enterprise industries, with over 600 hospitals using its digital employee automation to streamline finance, HR, supply chain, and patient operations.
Enterprises considering Olive benefit from increased productivity, reduced onboarding times, stronger institutional memory, and fewer repeated questions or manual processes.
For teams looking for a dependable, adaptive, and secure AI companion to amplify their workforce, Olive presents a feature-rich solution that outpaces simpler AI plug-ins or basic document search platforms in measurable real-world impact.
Olive AI pricing is typically subscription-based.
For enterprise deployments, the stated cost is approximately $1,500 per month, with options for a free trial and potential free version offerings depending on organizational needs and scale.
Custom pricing may be available for large implementations or specific integrations.
For enterprise deployments, the stated cost is approximately $1,500 per month, with options for a free trial and potential free version offerings depending on organizational needs and scale.
Custom pricing may be available for large implementations or specific integrations.
Suki AI is an AI-powered voice assistant designed for healthcare professionals to streamline documentation processes and enhance productivity. By using natural language processing, it helps doctors to quickly dictate notes, automate administrative tasks, and integrate seamlessly with electronic health records.
- Overview
- Pricing
Suki AI is a cutting-edge clinical assistant platform designed specifically for healthcare providers to drastically reduce administrative burden and streamline clinical workflows.
It employs advanced artificial intelligence—leveraging Google Cloud Vertex AI and integration with powerful FHIR APIs—to offer unique features such as automated patient summaries, medical Q&A, medical documentation, coding, chart retrieval, and dictation.
Suki allows clinicians to instantly access concise overviews of patient histories, ask complex clinical questions in natural language, and receive rapid, accurate answers.
This is especially critical given that U.S.
clinicians today spend nearly half their professional time on non-clinical, administrative tasks—a factor greatly contributing to physician burnout.
Compared to traditional or legacy solutions that mainly focus on speech-to-text documentation, Suki stands out by integrating workflows for patient summarization and intelligent Q&A, allowing for a truly end-to-end experience.
Its innovation is reinforced by a strategic partnership with Google Cloud, bringing the latest generation of generative AI to clinical use cases for the first time.
Early data shows Suki reduces documentation time by up to 72% and delivers a 9x return on investment within the first year, a significant outperformance versus rivals.
These enhancements enable physicians to make better-informed, faster clinical decisions, reduce cognitive overload, improve operational efficiency, and ultimately spend more time providing meaningful patient care instead of combing through records or performing repetitive clerical work.
The platform’s multilingual voice interface, seamless EHR integration, and real-time clinical intelligence position it as the first truly comprehensive, flexible, and interoperable solution compared to more narrowly focused competitors.
Suki’s patient summary and clinical Q&A functionality—especially its capacity to quickly synthesize massive volumes of patient data and medical literature—make it an indispensable choice for modern practices aiming to improve care quality and reduce overhead.
It employs advanced artificial intelligence—leveraging Google Cloud Vertex AI and integration with powerful FHIR APIs—to offer unique features such as automated patient summaries, medical Q&A, medical documentation, coding, chart retrieval, and dictation.
Suki allows clinicians to instantly access concise overviews of patient histories, ask complex clinical questions in natural language, and receive rapid, accurate answers.
This is especially critical given that U.S.
clinicians today spend nearly half their professional time on non-clinical, administrative tasks—a factor greatly contributing to physician burnout.
Compared to traditional or legacy solutions that mainly focus on speech-to-text documentation, Suki stands out by integrating workflows for patient summarization and intelligent Q&A, allowing for a truly end-to-end experience.
Its innovation is reinforced by a strategic partnership with Google Cloud, bringing the latest generation of generative AI to clinical use cases for the first time.
Early data shows Suki reduces documentation time by up to 72% and delivers a 9x return on investment within the first year, a significant outperformance versus rivals.
These enhancements enable physicians to make better-informed, faster clinical decisions, reduce cognitive overload, improve operational efficiency, and ultimately spend more time providing meaningful patient care instead of combing through records or performing repetitive clerical work.
The platform’s multilingual voice interface, seamless EHR integration, and real-time clinical intelligence position it as the first truly comprehensive, flexible, and interoperable solution compared to more narrowly focused competitors.
Suki’s patient summary and clinical Q&A functionality—especially its capacity to quickly synthesize massive volumes of patient data and medical literature—make it an indispensable choice for modern practices aiming to improve care quality and reduce overhead.
Suki AI pricing is typically structured on a per-provider, per-month subscription basis.
While exact amounts may vary depending on organizational size, volume, and integration level, industry reports and available data suggest a typical range from $199 to $349 per user per month.
Enterprise agreements and custom arrangements are available for larger practices and health systems.
While exact amounts may vary depending on organizational size, volume, and integration level, industry reports and available data suggest a typical range from $199 to $349 per user per month.
Enterprise agreements and custom arrangements are available for larger practices and health systems.
Enlitic uses deep learning and AI to streamline radiology workflows and improve diagnostic accuracy by analyzing medical images. Its platform aids radiologists in interpreting imaging studies more efficiently and accurately.
- Overview
- Pricing
Enlitic is a cutting-edge AI solution designed specifically for the healthcare industry, focusing on enhancing the quality, accessibility, and utility of medical imaging data.
The platform addresses significant pain points in healthcare data management by leveraging artificial intelligence to standardize, de-identify, and orchestrate clinical workflows involving complex imaging datasets.
Unlike traditional medical imaging solutions that mainly focus on image interpretation, Enlitic goes further by tackling the critical challenge of disorganized and inconsistent imaging data, which is widespread across healthcare systems globally.
This results in improved operational efficiency, streamlined workflows, and the unlocking of new revenue opportunities for healthcare providers.
Enlitic distinguishes itself through its robust data standardization framework, notably with its Ensight platform, which uses AI to harmonize, protect, and analyze imaging data.
The integration of advanced modules, including ENDEX for data standardization and ENCOG for anonymization, allows healthcare systems to improve data quality at scale — reducing issues such as laterality conflicts, billing discrepancies, and ensuring regulatory compliance with de-identification workflows.
In partnership with industry leaders like GE HealthCare, Enlitic has also introduced AI-driven automation into the migration and management of large-scale imaging archives, offering a secure, high-performance, and scalable solution not readily matched by other vendors.
The system supports both cloud and on-premise deployments, helping providers adopt new imaging platforms confidently and efficiently.
By prioritizing economic value, immediate ROI, and seamless integration across legacy data systems, Enlitic offers an attractive alternative to competitors who focus more narrowly on AI diagnostics.
This comprehensive approach makes Enlitic an ideal partner for healthcare organizations looking to future-proof their data infrastructure while improving patient care and operational margins.
The platform addresses significant pain points in healthcare data management by leveraging artificial intelligence to standardize, de-identify, and orchestrate clinical workflows involving complex imaging datasets.
Unlike traditional medical imaging solutions that mainly focus on image interpretation, Enlitic goes further by tackling the critical challenge of disorganized and inconsistent imaging data, which is widespread across healthcare systems globally.
This results in improved operational efficiency, streamlined workflows, and the unlocking of new revenue opportunities for healthcare providers.
Enlitic distinguishes itself through its robust data standardization framework, notably with its Ensight platform, which uses AI to harmonize, protect, and analyze imaging data.
The integration of advanced modules, including ENDEX for data standardization and ENCOG for anonymization, allows healthcare systems to improve data quality at scale — reducing issues such as laterality conflicts, billing discrepancies, and ensuring regulatory compliance with de-identification workflows.
In partnership with industry leaders like GE HealthCare, Enlitic has also introduced AI-driven automation into the migration and management of large-scale imaging archives, offering a secure, high-performance, and scalable solution not readily matched by other vendors.
The system supports both cloud and on-premise deployments, helping providers adopt new imaging platforms confidently and efficiently.
By prioritizing economic value, immediate ROI, and seamless integration across legacy data systems, Enlitic offers an attractive alternative to competitors who focus more narrowly on AI diagnostics.
This comprehensive approach makes Enlitic an ideal partner for healthcare organizations looking to future-proof their data infrastructure while improving patient care and operational margins.
Enlitic operates on a software licensing model, typically offering customized enterprise pricing based on the scale of deployment, number of imaging studies processed, and required integrations.
While explicit price ranges are not widely published, the solution is positioned as a high-value, enterprise-grade platform, with pricing expected to be in line with leading healthcare software vendors offering AI-enabled data management and workflow orchestration.
Large healthcare systems and diagnostic centers should anticipate enterprise contract negotiations, with costs varying based on features, volume, and support agreements.
While explicit price ranges are not widely published, the solution is positioned as a high-value, enterprise-grade platform, with pricing expected to be in line with leading healthcare software vendors offering AI-enabled data management and workflow orchestration.
Large healthcare systems and diagnostic centers should anticipate enterprise contract negotiations, with costs varying based on features, volume, and support agreements.
Proscia is an AI-powered pathology platform that helps pathologists to diagnose diseases more efficiently. It uses machine learning to analyze pathology images and improve diagnostic accuracy and efficiency in clinical settings.
- Overview
- Pricing
Proscia is a leading provider of AI-powered digital pathology solutions designed to revolutionize the way pathology images are managed, analyzed, and shared.
Built around the Concentriq enterprise pathology platform, Proscia integrates advanced AI and machine learning to address critical challenges in pathology, such as improving diagnostic accuracy, accelerating research, and enabling large-scale collaboration and data management.
Unlike traditional pathology workflows, which rely heavily on manual assessment of slides and are limited in scalability and reproducibility, Proscia provides a unified, cloud-based, modular system that centralizes data, offers robust developer tools, and supports seamless integration of custom and portfolio AI solutions.
Users can build and deploy their own AI algorithms, access real-world data to accelerate biomarker and diagnostic development, and utilize a suite of AI applications directly in their workflow.
Proscia's platform offers significant benefits over other solutions by bringing together image analysis, cloud computing, and collaborative capabilities—enabling faster clinical trial optimization, streamlined research, and standardized study practices.
Its AI-powered features, such as automated image classification, toxicity assessments, and compliance support, improve productivity, reproducibility, and data security.
Validated in leading laboratories, Proscia’s solution also excels in enabling rapid peer review, optimized scoring workflows, and real-time data sharing, making it essential for organizations aiming to maximize research and clinical outcomes while adhering to regulatory standards.
Built around the Concentriq enterprise pathology platform, Proscia integrates advanced AI and machine learning to address critical challenges in pathology, such as improving diagnostic accuracy, accelerating research, and enabling large-scale collaboration and data management.
Unlike traditional pathology workflows, which rely heavily on manual assessment of slides and are limited in scalability and reproducibility, Proscia provides a unified, cloud-based, modular system that centralizes data, offers robust developer tools, and supports seamless integration of custom and portfolio AI solutions.
Users can build and deploy their own AI algorithms, access real-world data to accelerate biomarker and diagnostic development, and utilize a suite of AI applications directly in their workflow.
Proscia's platform offers significant benefits over other solutions by bringing together image analysis, cloud computing, and collaborative capabilities—enabling faster clinical trial optimization, streamlined research, and standardized study practices.
Its AI-powered features, such as automated image classification, toxicity assessments, and compliance support, improve productivity, reproducibility, and data security.
Validated in leading laboratories, Proscia’s solution also excels in enabling rapid peer review, optimized scoring workflows, and real-time data sharing, making it essential for organizations aiming to maximize research and clinical outcomes while adhering to regulatory standards.
Proscia offers enterprise-grade, scalable digital pathology solutions, and pricing varies depending on the size and features required by the organization.
Typical solutions in this category follow a subscription-based or enterprise licensing model, with pricing influenced by user count, storage needs, specific AI modules, and level of support.
For precise pricing, organizations are encouraged to request a customized quote from Proscia directly.
Typical solutions in this category follow a subscription-based or enterprise licensing model, with pricing influenced by user count, storage needs, specific AI modules, and level of support.
For precise pricing, organizations are encouraged to request a customized quote from Proscia directly.
BenevolentAI is an AI-driven platform that focuses on accelerating the discovery and development of new drugs. It uses advanced AI and machine learning models to analyze scientific data and identify potential drug targets, aiming to improve the efficiency and success rate of pharmaceutical research.
- Overview
- Pricing
BenevolentAI is an advanced AI-driven platform focused on accelerating and revolutionizing drug discovery and development, especially for complex diseases.
By leveraging proprietary AI tools, machine learning, and natural language processing, BenevolentAI integrates massive multimodal biomedical datasets—including scientific literature, clinical data, and omics data—allowing users to identify novel biological targets and uncover new insights that might otherwise be missed.
The Benevolent Platform™ creates a comprehensive, predictive view of biological systems, enabling discoveries that can significantly reduce the time and cost required for pre-clinical and clinical development compared to traditional R&D methods.
Compared to other AI drug discovery solutions, BenevolentAI distinguishes itself with deep domain expertise, validated AI models, and direct integration with in-house wet-lab facilities.
It has successfully established partnerships with major pharma companies like AstraZeneca and Merck, validating both the accuracy of its predictions and its commercial relevance.
Its platform enables both in-house drug pipeline development and flexible collaborations, unlocking multiple value routes for users.
The natural language biomedical querying system offers intuitive, domain-specific AI tools designed for scientific users, giving biopharma a clear edge in harnessing their data and making truly data-driven science possible at scale.
The core problems BenevolentAI solves include: breaking down data silos by integrating diverse sources for holistic analysis; handling the overwhelming growth of scientific data to deliver actionable insight; and enabling drastically more sophisticated queries and hypotheses, all of which often surpass the capabilities of competitive solutions.
Its robust, user-friendly interface ensures accessibility even for those with limited technical expertise.
Furthermore, BenevolentAI’s agile approach—recently streamlined to prioritize high-potential clinical assets and enable earlier industry partnerships—makes it adaptive and financially sustainable for the future.
If you are seeking to accelerate scientific innovation, reduce time-to-market, and improve the success rates of medicinal R&D, BenevolentAI offers a uniquely validated technology, proven results, and an expert-backed roadmap for value creation in pharmaceuticals.
By leveraging proprietary AI tools, machine learning, and natural language processing, BenevolentAI integrates massive multimodal biomedical datasets—including scientific literature, clinical data, and omics data—allowing users to identify novel biological targets and uncover new insights that might otherwise be missed.
The Benevolent Platform™ creates a comprehensive, predictive view of biological systems, enabling discoveries that can significantly reduce the time and cost required for pre-clinical and clinical development compared to traditional R&D methods.
Compared to other AI drug discovery solutions, BenevolentAI distinguishes itself with deep domain expertise, validated AI models, and direct integration with in-house wet-lab facilities.
It has successfully established partnerships with major pharma companies like AstraZeneca and Merck, validating both the accuracy of its predictions and its commercial relevance.
Its platform enables both in-house drug pipeline development and flexible collaborations, unlocking multiple value routes for users.
The natural language biomedical querying system offers intuitive, domain-specific AI tools designed for scientific users, giving biopharma a clear edge in harnessing their data and making truly data-driven science possible at scale.
The core problems BenevolentAI solves include: breaking down data silos by integrating diverse sources for holistic analysis; handling the overwhelming growth of scientific data to deliver actionable insight; and enabling drastically more sophisticated queries and hypotheses, all of which often surpass the capabilities of competitive solutions.
Its robust, user-friendly interface ensures accessibility even for those with limited technical expertise.
Furthermore, BenevolentAI’s agile approach—recently streamlined to prioritize high-potential clinical assets and enable earlier industry partnerships—makes it adaptive and financially sustainable for the future.
If you are seeking to accelerate scientific innovation, reduce time-to-market, and improve the success rates of medicinal R&D, BenevolentAI offers a uniquely validated technology, proven results, and an expert-backed roadmap for value creation in pharmaceuticals.
BenevolentAI follows a B2B pricing model, customizing costs depending on project scope, partnership structure, and services required (such as drug discovery collaborations, access to their AI platform, or in-house development).
Exact pricing details are not public, but the platform usually targets large pharmaceutical and biotech companies with pricing at an enterprise solution level.
For detailed quotes and partnership proposals, direct engagement with the company is required.
Exact pricing details are not public, but the platform usually targets large pharmaceutical and biotech companies with pricing at an enterprise solution level.
For detailed quotes and partnership proposals, direct engagement with the company is required.
BioMind is an AI-powered platform that aids radiologists in diagnosing and managing brain diseases. It uses deep learning algorithms to analyze MRI and CT scans, providing fast and accurate results to support medical professionals.
- Overview
- Pricing
BioMind is an advanced AI solution designed specifically for biological and medical data analysis, offering powerful features that address the challenges faced by modern researchers and clinicians.
This platform stands out because it streamlines the handling of enormous, complex datasets generated by contemporary sequencing technologies, allowing users to rapidly extract critical insights from vast amounts of raw information.
Its high accuracy—exceeding human experts in certain diagnostic tasks—minimizes errors and produces more reliable results, which is crucial in high-stakes environments like healthcare and life sciences.
A major differentiation is its predictive modeling capability: unlike many traditional tools that focus solely on retrospective analysis, BioMind can forecast outcomes such as gene mutation impacts or drug efficacy, helping researchers to prioritize experiments and reduce reliance on costly trial-and-error cycles.
The solution’s intuitive, interactive visualizations demystify even the most intricate findings, making complex research results accessible not only to domain experts but also to collaborators outside the immediate field, thus fostering better communication and collaboration.
Furthermore, BioMind offers highly customizable workflows, ensuring researchers can tailor data analysis pipelines to their unique questions and protocols, a level of flexibility not always present in other solutions.
Performance benchmarking in international competitions has shown BioMind outperforming top-tier human experts in speed and accuracy for specialized tasks such as tumor diagnosis, correctly analyzing cases with a higher accuracy and in less time than elite clinicians.
Underpinning these features is a robust infrastructure leveraging high-performance computing (HPC) and the latest GPU technologies, which enables BioMind to develop and deploy sophisticated multimodal AI models for diagnostics and prognostics, setting it apart from generic medical AI solutions.
If you require a solution that not only accelerates research and boosts confidence in results, but also empowers you to handle large-scale projects with ease and compliance, BioMind offers a proven, state-of-the-art answer to many of the modern challenges in bioinformatics and medical research.
This platform stands out because it streamlines the handling of enormous, complex datasets generated by contemporary sequencing technologies, allowing users to rapidly extract critical insights from vast amounts of raw information.
Its high accuracy—exceeding human experts in certain diagnostic tasks—minimizes errors and produces more reliable results, which is crucial in high-stakes environments like healthcare and life sciences.
A major differentiation is its predictive modeling capability: unlike many traditional tools that focus solely on retrospective analysis, BioMind can forecast outcomes such as gene mutation impacts or drug efficacy, helping researchers to prioritize experiments and reduce reliance on costly trial-and-error cycles.
The solution’s intuitive, interactive visualizations demystify even the most intricate findings, making complex research results accessible not only to domain experts but also to collaborators outside the immediate field, thus fostering better communication and collaboration.
Furthermore, BioMind offers highly customizable workflows, ensuring researchers can tailor data analysis pipelines to their unique questions and protocols, a level of flexibility not always present in other solutions.
Performance benchmarking in international competitions has shown BioMind outperforming top-tier human experts in speed and accuracy for specialized tasks such as tumor diagnosis, correctly analyzing cases with a higher accuracy and in less time than elite clinicians.
Underpinning these features is a robust infrastructure leveraging high-performance computing (HPC) and the latest GPU technologies, which enables BioMind to develop and deploy sophisticated multimodal AI models for diagnostics and prognostics, setting it apart from generic medical AI solutions.
If you require a solution that not only accelerates research and boosts confidence in results, but also empowers you to handle large-scale projects with ease and compliance, BioMind offers a proven, state-of-the-art answer to many of the modern challenges in bioinformatics and medical research.
Pricing is not publicly listed and may vary depending on deployment scale, compute needs, and institutional agreements.
Generally, AI solutions in this category with high-performance features and enterprise support typically fall within the mid-to-high five figures (USD) annually for institutional licenses, with custom pricing available for research collaborations and large-scale healthcare deployments.
Generally, AI solutions in this category with high-performance features and enterprise support typically fall within the mid-to-high five figures (USD) annually for institutional licenses, with custom pricing available for research collaborations and large-scale healthcare deployments.
Atomwise uses artificial intelligence for drug discovery, providing fast and efficient solutions to identify promising molecules for new treatments. Its AI technology helps in understanding complex biological data to assist in the creation and development of new medications.
- Overview
- Pricing
Atomwise is a pioneering AI solution in the field of drug discovery, utilizing its proprietary AtomNet® technology—a deep convolutional neural network—to revolutionize how new medicines are found and developed.
AtomNet® is distinct as the first drug discovery algorithm that employs advanced deep learning, similar to methods used in facial recognition and self-driving cars, but specialized for analyzing vast molecular datasets and protein structures.
This allows Atomwise to predict the binding of small molecules to proteins with high precision, enabling researchers to tackle complex tasks such as hit discovery, lead optimization, and toxicity predictions more effectively than traditional computational methods.
Atomwise’s innovation lies in its ability to screen billions of compounds rapidly, opening up the search for drug candidates targeting conditions previously considered 'undruggable.' Unlike traditional high-throughput screening (HTS), which is labor-intensive and costly, Atomwise’s AI-driven virtual screening can explore more chemical space, identify novel compounds faster, and offer a reported 74% success rate in identifying lead molecules across more than 600 disease targets.
Its scalability and precision are further enhanced by partnering with top engineering solutions like AWS and WEKA, ensuring unparalleled processing speed and data handling.
Atomwise's impact is significant: it has over 775 collaborations with more than 250 global partners, its joint ventures approach a $7 billion collective deal value, and its technology has been validated in the largest and most diverse AI-driven drug discovery studies to date.
You should consider Atomwise if you value groundbreaking speed, broad disease target coverage, higher hit rates for complex targets, and a next-generation alternative to the limitations of legacy HTS.
This distinctive advantage can dramatically shorten the timeline to preclinical development and unlock treatments for diseases that conventional methods struggle to address.
AtomNet® is distinct as the first drug discovery algorithm that employs advanced deep learning, similar to methods used in facial recognition and self-driving cars, but specialized for analyzing vast molecular datasets and protein structures.
This allows Atomwise to predict the binding of small molecules to proteins with high precision, enabling researchers to tackle complex tasks such as hit discovery, lead optimization, and toxicity predictions more effectively than traditional computational methods.
Atomwise’s innovation lies in its ability to screen billions of compounds rapidly, opening up the search for drug candidates targeting conditions previously considered 'undruggable.' Unlike traditional high-throughput screening (HTS), which is labor-intensive and costly, Atomwise’s AI-driven virtual screening can explore more chemical space, identify novel compounds faster, and offer a reported 74% success rate in identifying lead molecules across more than 600 disease targets.
Its scalability and precision are further enhanced by partnering with top engineering solutions like AWS and WEKA, ensuring unparalleled processing speed and data handling.
Atomwise's impact is significant: it has over 775 collaborations with more than 250 global partners, its joint ventures approach a $7 billion collective deal value, and its technology has been validated in the largest and most diverse AI-driven drug discovery studies to date.
You should consider Atomwise if you value groundbreaking speed, broad disease target coverage, higher hit rates for complex targets, and a next-generation alternative to the limitations of legacy HTS.
This distinctive advantage can dramatically shorten the timeline to preclinical development and unlock treatments for diseases that conventional methods struggle to address.
Atomwise’s commercial model is partnership-driven, commonly structured as research collaborations with pharmaceutical, biotechnology, and academic institutions.
Pricing details are generally tailored to each project’s scope and are not publicly disclosed; the collective deal value for partnerships is reported to approach $7 billion, indicating substantial but variable costs depending on contract size and complexity.
For precise pricing, direct negotiation and inquiry with Atomwise are required.
Pricing details are generally tailored to each project’s scope and are not publicly disclosed; the collective deal value for partnerships is reported to approach $7 billion, indicating substantial but variable costs depending on contract size and complexity.
For precise pricing, direct negotiation and inquiry with Atomwise are required.