Services / Managed Services

Long-run ownership of the platforms we build.

Long-run ownership of the platforms we build.

Launch is the cheapest part of a platform's life. What decides whether it keeps paying off is who watches it, who patches it, and who keeps shipping improvements once the project team has moved on.

We stay. The same pod that built the system runs it: monitoring and alerting, incident response against agreed SLAs, dependency and security patching, release management, and a rolling backlog of improvements prioritized with your team.

For AI systems this matters more, not less — model behaviour drifts, data changes, and evaluation sets need maintaining. Ongoing ownership is how governed autonomy stays governed.

Read the Asset Management & Service Platform case study

SLA-backed support

Defined response and resolution targets with clear escalation paths.

Continuous improvement

A funded backlog, not just keeping the lights on.

AI system upkeep

Evaluation sets, drift monitoring, and guardrail review over time.

03How we engage

Pick the commercial shape that fits.

Dedicated pods, modernization programs, co-innovation labs, or fixed-outcome delivery — the engineering discipline stays the same.

See engagement models →

Ready to talk architecture?