London
(what we build — 03)

AI infrastructure.

The platform underneath: serving, observability, evaluation pipelines and cost control at production scale.

Get in touch ↗
Service03 / 03
99.9999999%
TargetThe bar we build to
ServiceAI infrastructure
IncludesServing, observability, evals
FocusReliability and cost
HandoverDocumented, yours to run
(how it works)

Models and agents are only as dependable as the platform they run on. We build the layer underneath so AI features behave like the rest of your production systems: monitored, tested and predictable in cost.

Serving

Routing, caching, rate limits and fallbacks between providers, so one outage or a slow model doesn't take your product down with it.

Observability

Tracing, logging and dashboards for every model call — latency, errors, cost and quality — so problems show up on a graph before they show up in a support ticket.

Evaluation pipelines

Automated checks that run every prompt, model or code change against your evaluation sets before it reaches production.

What you get

  • A production platform for your AI features
  • Dashboards for reliability, quality and spend
  • Runbooks and documentation for your team
Talk to us about AI infrastructure ↗
(next area)

Keep reading.

All areas ↗