How we build_
The stack we build production AI on, the governance we ship with it, and why both together are what survives investor diligence, security review, and audit.
Book a readiness callWhen governance is bolted on after a model already ships, the evidence your reviewers ask for has to be reverse-engineered under deadline — and the architecture often can't produce it without rework. Retrofitting is the costlier path: it shows up as a stalled funding round, a failed security review, or a procurement that quietly dies after the trust was sold on the product.
We make governance and engineering the same decision. The data class, the controls, the documentation and the evidence trail are designed at the start, alongside the code — so the system can answer hard questions because it was built to.
What that means for you
Our core for AI services and APIs — fast, typed, and well-suited to data and ML workloads.
Modern, accessible frontends and interfaces, server-rendered where it counts.
Structured, typed backend services where a robust application framework earns its keep.
Scalable, isolated services with tenant separation and infrastructure as code.
Agentic orchestration with full LLM tracing — every step and prompt is observable.
Logging, tracing, and evaluation built in, so behaviour is measured, not assumed.
Special-category data handled to the strictest UK GDPR bar — encryption, tenant isolation, access control, retention you set.
System design documented to a recognised template so reviewers can read and verify it, not just take our word.
A Data Protection Impact Assessment that maps the risks of processing personal data, with mitigations recorded.
Where clinical risk applies: hazard logs, a safety case, and a documented model behaviour envelope.
Information-security controls mapped to the standard, so security review has a structured answer.
Audit logs, provenance, and a dossier aligned to the standard your reviewers actually use — ready before the call.
Tell us your data class and where the pressure is coming from — investors, a security review, or an NHS procurement. We'll map what's in scope and what to build first.