Production AI in manufacturing, retail, insurance and public safety - vision models on production lines, fraud systems protecting revenue, agentic workflows where they earn their place. Every system described here is running in production.
Solutions Looking for a proven, ready-to-deploy package? See our solutions →Models that run on the line, not in a notebook. We build computer vision for steel finishing lines, customs inspection points and police investigations - and the MLOps foundation that keeps those models accurate once the people operating them start correcting them.
Agents where they earn their place, workflows where they do not. Multi-agent systems with human-in-the-loop controls, proven on a fraud review queue across 12 European markets - and a straight answer when a simpler automation would do the job for less.
Models that move a number on the P&L. Credit decisions per customer instead of blanket limits, fraud flagged before it costs revenue, claims liability decided consistently, prices set from measured elasticity - each one measured against a figure your finance team already tracks.
Know which customers are worth keeping, what it costs to keep them, and what actually drove the sale. Our attribution approach uses conditional probabilities across all journeys - converted and non-converted - so TV and offline spend get credit alongside the last click.
Search that finds what the buyer meant, and recommendations that know what they bought last time. For an e-commerce platform we made products from suppliers and third-party sellers findable: embedding models place each one in the right category, and small language models turn supplier and seller text into product pages with structured attributes. For retailers with millions of customers we build next-best-offer engines.
Senior AI leadership for as long as you actually need it, in whatever role fits - the title matters far less than the work. It starts with a strategy that someone then has to deliver: a few advisory days a month to get direction right, or hands-on leadership through a build. You do not need the budget for a full-time executive to start.
Build the internal AI capability you cannot hire fast enough, and meet the EU AI Act along the way. Article 4 has required AI literacy from staff who use AI since February 2025 - so we run training, AI Champions and governance as one program, not three. Based on running enablement at scale across 12 European markets.
A 30-minute discovery call is all it takes to map out the right engagement for your situation.
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