AI
Building AI systems that hold up in production.
Start with one real workflow, not a strategy deck
We take a single job your people do today, prove on your own data whether AI helps, and give you an honest read either way. When it works, we build the version that can run every day: agents, the data engineering underneath them, and the monitoring that keeps them honest.
Most projects take these in order: prove it on one workflow, build the thing itself, then make it reliable enough to run every day.
Prototypes and PoCs
You think AI might help, but nobody will fund a guess. A fixed-scope proof of concept on one real workflow, using your data, and an honest read either way.
More on Prototypes and PoCsAgentic AI Development
An agent is software that works through a job across your systems on its own, usually the kind that quietly eats a day a week. We keep it inside the limits you set, with your people checking the steps that matter.
More on Agentic AI DevelopmentAI & Data
Years of operational data, and nothing reading it. Forecasting, optimisation and automation, with the data engineering done first so the answers can be trusted.
More on AI & DataProduction AI
Once the operation depends on it, an AI system needs what every other production system gets: evaluation, monitoring, fallbacks and support.
More on Production AIOur AI contamination-detection integration for a national waste operator was live and load-proven in under four weeks. Read the integration case study.