AI Infrastructure & MLOps for Defence & Aerospace

Most GPU spend is oversizing. We measure your real throughput and latency requirements first, and the answer is often smaller and cheaper than expected.

In defence & aerospace, systems must run fully air-gapped, on open weights, with no external dependency whatsoever. That single fact reshapes how ai infrastructure & mlops has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is training simulation support, usually integrated against classified networks. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. We hand over with runbooks, tests and a team that knows how it works, not a dependency.