Custom AI Systems

Overview

Who it is for. CTOs, COOs, product leaders and heads of data with a process or product idea that is specific to their business and too important to bend around an off-the-shelf tool.

The problem. Agentic projects often start as an impressive demo and end as a cancelled programme; analysts expect a large share of them to be dropped. The causes repeat: scope driven by the demo, one giant agent instead of bounded steps, unlimited tool permissions, no evaluation set and no cost ceiling. Frontier models can sustain long tasks, but their reliable autonomy is much shorter, so dependable automation needs short steps that can be checked.

What we do. We break the process into steps small enough to automate reliably and decide where a person must approve. We build an orchestrator with specialised agents, expose your systems as tools with scoped permissions through the Model Context Protocol, keep durable workflow state and trace every run. A frontier model plans; smaller models handle routine steps where that is cheaper and good enough. Safety comes before autonomy: in our energy and compute orchestration project the optimiser only proposes, and a deterministic layer decides.

What you get. A system built for production, with an evaluation suite, tracing, cost and latency budgets per step, documentation and a team that knows how to operate it.