We're an AI development company that builds LLM apps, agents, RAG pipelines, and fine-tuned models end to end — integrated into the stack you already run, priced by milestone, and judged on what's still running in production 90 days later.
Serving UK and EU clients: GDPR, EU AI Act, data residency, and VPC / on-premise deployment options are covered on our Trust & Safety page.
Custom AI development covers the full span from a single LLM feature to a multi-agent system with retrieval and fine-tuning underneath it. We work across LLM integration, AI agent development, RAG systems, and model fine-tuning — as one team, not a chain of handoffs.
Every build gets evals, guardrails, and cost monitoring from day one. Our MLOps work keeps it observable and cost-efficient once it's live, so "it worked in the demo" isn't where the engagement ends.
Three things stay true across every engagement, regardless of what we're building.
We build on top of your existing databases, APIs, and tools. No rip-and-replace migration before you see any value.
You know the number before we start. Larger builds are phased so working software ships early, not at the end of one long sprint.
We aim for a first production AI feature within six weeks — then layer in agents, retrieval, or fine-tuning as the next phases. Not sure where to start? See our AI readiness assessment.
The questions we get asked most about working with an AI development company — answered straight.
We price by milestone, not by the hour, so you know the number before any code is written. A single LLM feature is a different scope from a multi-agent system with RAG and fine-tuning underneath it — book a call and we'll scope your specific case.
We build and operate production AI systems full-time — evals, guardrails, retrieval evaluation, and inference cost control are standard parts of every engagement, not an afterthought bolted onto a generic web build. That's the gap that usually shows up six months after a generalist agency ships.
On top, almost always. Our LLM integration work is built specifically to plug into the stack you already run — your databases, APIs, and internal tools — rather than forcing a platform migration before you see any value.
We aim for a first production AI feature within six weeks. Larger systems — multi-agent workflows, RAG pipelines with evaluation, or fine-tuned models — are scoped in phases so you see working software early rather than waiting for one big launch.
Book a 30-minute call — we'll tell you honestly what it takes to ship it, and what order to build it in.