Most companies are not ready for AI. The data is not there yet.
Trusted data. Real intelligence. Developer velocity.
“Data mobilisation is not a precursor to AI. It is the first act of AI.”
Every week, companies invest in AI products and LLM integrations — built on data that is scattered across disconnected systems, inconsistent between teams, and impossible to trust. When these projects fail, the instinct is to blame the AI system itself — the wrong model, the wrong vendor, the wrong prompt. But the AI system is rarely the problem. The problem is what sits underneath it.
You cannot build reliable intelligence on an unreliable foundation. The organisations that succeed with AI are not the ones with the most sophisticated models. They are the ones that did the foundational work first.
Once your data is in order and your developers are equipped, the AI layer is the easy part.
Three layers. One connected system.
Data Foundation
Unified, quality-checked, documented data you own and control. The prerequisite for everything else.
AI Insights
A custom intelligence layer built directly on your data. Dashboards, natural-language queries, automated insight generation.
Custom Applications
From your foundation to applications that think, decide, and act. RAG pipelines, agentic workflows, production-grade LLM systems.
Developer Velocity
The fastest-growing companies are using AI to make their own engineering teams dramatically more productive — at every stage.
Services
Data Foundation Audit
A structured diagnostic of your entire data landscape — mapping where your data lives, how it flows, where it breaks, and what needs to happen before AI can be built on top of it.
3–4 weeksData Mobilisation & Unification
We consolidate your fragmented data into a single trusted platform you own and control. Everything unified, quality-checked, documented, and ready for AI.
6–12 weeksAI-Powered BI & Insights
Dashboards your team can trust, natural-language interfaces that answer real business questions, and automated insight generation tailored to how your organisation actually works.
4–8 weeksIntelligent Application Development
We start from your business problems — not a technology. LLM systems, agentic workflows, knowledge bases — the technology follows the use case.
4–8 weeksAI Developer Velocity
The fastest-growing companies use AI to make their engineering teams dramatically more productive — automated monitoring, self-healing systems, intelligent on-call, agent-driven development workflows, and a shared platform every developer can build on.
Where most companies actually are.
The reality in most organisations
- —Data scattered across 8–15 disconnected systems
- —No single source of truth for any key metric
- —Pipelines built by one person who has since left
- —Data quality unknown — teams don't trust the numbers
- —60–70% of time spent finding and cleaning data
- —AI projects start — and stall — repeatedly
What becomes possible with the foundation
- ✓All data unified, trusted, and under your control
- ✓AI-powered insights grounded in real, clean data
- ✓Custom LLM applications built exactly for your needs
- ✓Engineers shipping AI features in days, not months
- ✓AI agents handling routine ops — humans only when needed
- ✓Compounding productivity gains across every team
You can hire the best AI team in the world, but if the data is scattered and the developers have no platform to build on — nothing useful ships at speed. The foundation and the developer platform work together. We build both.
We are practitioners, not theorists. Every recommendation we make is grounded in what we have built, broken, and fixed ourselves.
Two senior ML engineers. Based in Berlin. Working with companies across Europe and India.
Meet the team →Ready to start? Let’s talk.
Every engagement starts with a free 30-minute conversation.