AI, built and ready — not switched on for the sake of it
We build AI capability into our platforms and enable it when it earns its place in production. Today that means AI components built and connected in PowerRadar and GridForecast, and agentic AI systems — self-hosted language models, retrieval pipelines and multi-agent orchestration — developed and proven as working prototypes.
We run these self-hosted, so data does not leave the infrastructure. The gap between a working prototype and an operated system is an architecture and operations problem, not a model problem, and it is where most AI initiatives stall. If that is where you are, it is a conversation we can have usefully.
What we have built
AI components in our platforms
Built and connected in PowerRadar and GridForecast, ready to enable when they earn their place in production. Built, not yet switched on.
Agentic AI, proven as prototypes
Self-hosted language models, retrieval pipelines and multi-agent orchestration — developed and proven as working prototypes, not marketed as production systems.
Self-hosted by design
We run these self-hosted, so your data does not leave the infrastructure. No third-party model API sees your data.
Where AI initiatives stall
The gap between a working prototype and an operated system is an architecture and operations problem, not a model problem, and it is where most AI initiatives stall. If that is where you are, it is a conversation we can have usefully.
Talk directly with a senior architect
Tell us where your AI work is — a prototype that needs to reach production, or a problem you think AI might solve. You will speak to the person who would do the work.
Book an Architecture Consultation