15%
Percentage of companies testing AI
1. 2K
The current amount of AI related applications
88%
Of AI pilots fail to reach production
It’s not you.
AI really is this hard.
We know it, but AI Adoption Isn’t a Choice Anymore
From Hype to Headaches: The Hidden Frictions of AI
"Our data isn’t ready for AI"
We have data — but it’s scattered, messy, or not suited for AI use. And on top of that, privacy and compliance concerns make it hard to move fast or confidently. Also processes are somehow not fully implemented.
"AI is hard to integrate into what we already use"
Even when we test good ideas in pilots, bringing them into our live systems is complex and slow. The tech landscape evolves so quickly, we can’t keep up.
"Our people aren’t ready — and some are skeptical."
We don’t have enough AI expertise in-house, and upskilling takes time. Plus, teams are cautious — sometimes even resistant — when it comes to automation and change.
"We’re worried about trust, ethics, and control"
AI feels like a black box. We need to ensure it's fair, transparent, and accountable — especially with regulators and stakeholders watching closely.
A quick win AcceleratorProof to Production Sprint
Proof to Production Sprint
Are you stuck in “pilot purgatory”?
Is your innovation teams under pressure to show fast ROI?
Are your leaders seeking clarity before greenlighting broader AI initiatives?
Start small with a 4 to 6 weeks project and a correct approach to get a clear, budgetable next step toward industrializing AI at scale.
Our proved framework:
- Opportunity Mapping & Use Case Selection
- Prototype Build & Pilot Execution
- Impact Measurement & Feedback Loop
- Production-Ready Packaging
Opportunity Mapping & Use Case SelectionSTEP 1:
STEP 1:
Shared agreement on one business-relevant problem to solve with AI
Select a high-impact, low-risk use case suited for rapid validation.
No idea where to start from?
Prototype Build & Pilot ExecutionSTEP 2:
STEP 2:
Working AI prototype tested in a real environment with users
Integrate with minimal effort into an existing workflow.
No Idea on how to do it?
Impact Measurement & Feedback LoopStep 3:
Step 3:
Tangible proof of value with data to support further investment
Gather qualitative and quantitative feedback from real users
No idea where to start from?
Production-Ready PackagingStep 4:
Step 4:
AI solution ready for full-scale deployment across teams or geographies
Create documentation and knowledge transfer assets for internal teams.
No Idea on how to do it?
A Solution That Grows With You
We turn your AI ambition into a structured, scalable journey — from pilot to production to long-term impact. Our modular approach adapts to your organization’s maturity: start small, prove value fast, then expand confidently across functions and geographies.
Connect your data sources
It all begins with your data. We assess, clean, and activate your existing data assets to build strong foundations for reliable, high-impact AI — securely, compliantly, and aligned with your architecture.
Build What Matters First
In just weeks, we deliver a real AI use case into production through our Proof-to-Production Sprint™. Tangible results, real users, measurable impact. No fluff — just business-ready value you can scale.
AI adoption starts with understanding
Not sure where to start?
Our smart, no-fluff courses introduce your team to the essential concepts of AI — fast. Designed for busy professionals, not data scientists.
Equip your workforce with quick, effective learning paths that demystify AI and build practical awareness — no jargon, just results.
We’re not here to “advise and disappear.”
Results-as-a-Service: Aligned Incentives, Real Impact
We don’t charge by the hour. We partner for outcomes.
Our Results-as-a-Service (RaaS) model is built on a simple idea: we win when you do.
No upfront fees, no fixed day rates — just shared commitment and shared success.
What it means in practice:
- No upfront costs — we co-invest time, tools, and expertise
- Joint execution — we work alongside your team, or fully outsource the process
- KPI-based model — we align on measurable business goals
Revenue sharing or performance-linked fees — only when results are achieved
UNLIMITED Integrations
More than 350 integrations (and yes even your ERP)
Tools we play with
(the short list)
N8N
Workflow automation
Langchain
Integration workflow
Make
Automation
Retool
App builder
Ollama
Local LLMs
Pinecore
Share findings
Google AI
Agent DEV Kit
ChatGpt
AI
Claude
AI
Deepseek
AI
Gemini
AI
NotebookLM
AI