Proof of work
We run the infrastructure we sell
Most AI consultancies make slides. We operate a real production estate — self-hosted AI, multi-cluster Kubernetes, a signed supply chain, and a voice platform that has been live for more than 200 days. When you hire us, you're hiring operators.
200+ days in continuous production
Our multi-tenant voice-AI platform has run in continuous production for over 200 days — real phone calls, real tenants, real uptime. It is not a demo or a pilot. Reliability is something we live with, not a line on a deck.
Self-hosted open-weight LLMs
We serve open-weight models (Qwen, Nemotron, and peers) on owned GPU infrastructure. That means data residency by default, no per-token surprise bills, and full control over the inference path — the same posture we build for privacy-sensitive clients.
Multi-cluster Kubernetes + service mesh
Our workloads run across multiple production Kubernetes clusters joined by a service mesh, with cross-cluster service discovery, GitOps delivery, and declarative everything. This is the platform layer most teams underestimate — and the one we operate daily.
A cryptographically signed supply chain
Images are scanned, signed, and admission-gated — only verified artifacts run. Secrets live in a hardened vault, not in YAML. Defense-in-depth isn't a checkbox we add at the end; it's how the platform is wired from the start.
Continuous synthetic canaries + SLOs
Synthetic canaries exercise the critical paths around the clock, and SLOs define what 'healthy' means before an incident, not during one. The operating principle is simple: we find out before our users do.
We fix our own incidents
When something breaks, we run the playbook — triage, root-cause, durable fix, written record. That muscle is the actual product of a platform team, and it's the one we bring to yours.
What this means for you
The hard, unglamorous problems in production AI — inference cost, latency, reliability, data residency, supply-chain security, the 2 a.m. incident — are problems we have already solved for ourselves. You don't pay us to learn them on your platform. You pay us to bring patterns that are already load-bearing somewhere real.
We keep specifics about our own topology private for the same reason we'd protect yours. On a call, under NDA, we're happy to go deeper.
Want this team on your platform?
The same operators run our infrastructure and yours — fractionally, on a monthly retainer. Book a scoping call and we'll find your highest-leverage problem.