We put AI to work where it earns or saves money in your business, from the first conversation to the running system.
More than 20 years in data and AI, 18 of them in Germany. In senior roles at a global technology group, a European electronics group and a leading consultancy, I led AI programmes with responsibility for results, advised many Mittelstand companies, and built the systems myself.
A partner on equal footing: an honest view of what pays off, and responsibility until the system runs in your business, usually within 90 days. I am your contact throughout; larger projects are backed by a core team of experienced AI architects, AI engineers, data engineers and front-end and back-end developers.
More revenue, lower costs and faster processes, measured in the figures you already track. See results from our projects →
Every euro itemised from a named production system - eight of them, listed on the impact page. Delivered by our founding team in senior roles at a global technology leader, a European electronics group and a leading consultancy, and in ProDataAI engagements.
For problems we have solved many times: a proven approach, a fixed scope and a clear path into production.
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Your cameras record. ProDataAI Lens watches. Live alerts with the clip attached, and every detected event searchable in plain language.
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Same budget, more revenue. See which channels really bring in profitable orders, online and offline, and move your money to what works.
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A value for every customer. A daily forecast of each customer's contribution margin, and an agent that acts on it in your ad platforms and CRM.
Most of our work still starts as a service: we look at the problem with you, check whether AI is the right answer, and build what fits.
Explore our servicesFrom vision models on the production line to the people who run them - practical, measurable, and built to last.
Models that run on the line, not in a notebook. Computer vision on steel lines, at customs and in police investigations, on an MLOps foundation that keeps them accurate.
Multi-agent systems with human-in-the-loop controls where agents earn their place - and simpler automation where they do not.
Credit decisions per customer, fraud detection, claims liability and pricing from measured elasticity. Models that move a number on the P&L.
Attribution across all journeys, including TV and offline, plus CLV, churn and segmentation - so you know which customers to keep and what it costs.
Semantic search and behavioural ranking that find what the buyer meant, and next-best-offer engines for millions of customers.
Senior AI leadership, from strategy through delivery, for as long as you need it. Scales from a few advisory days a month, so you can start small.
AI Champions programs, role-based training and the Article 4 AI literacy the EU AI Act requires, run as one program. From experience training 1,000+ employees across 12 markets.
Case studies: visual inspection with computer vision · fraud detection in e-commerce · price elasticity in energy retail · credit limits in retail · product data for a marketplace · interim AI leadership · all case studies →
Four clear steps. No buzzwords, no process theatre.
We start by asking whether AI is actually the right answer here. We have talked clients out of AI projects that were not ready. The ones we take on are better for it.
We build systems that hold up at 7am on a Monday, not just in a demo. Real infrastructure, real edge cases, and the unglamorous work of making AI reliable enough that your team actually trusts it.
We measure against business outcomes, not model accuracy scores. If the needle is not moving, we go back and fix it. AI that is not improving is not working.
We do not disappear after go-live. If you want, we run and maintain the system for you, or hand it over to your team with documentation and training. For systems we build for you, code, models and data are yours, with no lock-in.
Trusted by enterprises across Europe
Prompt chains, routing, parallelisation, orchestrator-subagent and evaluator loops. The gap between one LLM call and a full agent is where 95% of production value lives.
The workflow-vs-agent choice drives cost, reliability, and EU AI Act exposure. A practical CLEAR framework for making this decision deliberately.
What high-risk AI classification means for your systems, what you need in place by December 2027, and how to get there without a compliance theatre project.
Tell us what you're trying to solve. We'll tell you honestly whether the timing is right, what would need to be in place, and what we'd actually do. If we're not the right fit, we'll say so.