A model trained two years ago is still scoring customers and nobody has checked it since. Or a language model is being asked to plan delivery routes when an optimiser would do it exactly.
Not every AI problem is a language problem. Routing, pricing, matching and forecasting have well-understood methods that are cheaper and more accurate than a prompt. We set a baseline with the simplest one, go further only when the benchmark says so, and ship the result with a version, a contract and drift monitoring.
What we offer
- Forecasting and scoring models
- Optimisation and scheduling
- Data pipelines sized to the problem
- Versioned APIs with drift alerts
How we work
- 01Formalise the problem and the metric
- 02Baseline with the simplest method
- 03Train, benchmark, choose
- 04Package as an API with a contract
- 05Monitor drift, retrain on a schedule
Also in AI
- AI Strategy & Readiness: Which use cases pay, in what order, and what is not worth it.
- AI Integration: Language models inside the product you already have, with guardrails and evals.
- AI Automation & Agents: Repetitive work done by software, with people where it matters.
Ready to talk?
