Private AI Deployment & Ops

Who it is for

Enterprise teams paying a recurring token bill that grows with every seat, or that cannot let data leave the building.

What you get

  • Hardware sized for your actual workloads, not a vendor’s reference rack.
  • Open models deployed and benchmarked against the hosted service you use today.
  • Workloads organized by latency, privacy, and cost, so the right model handles each one.
  • A $0 marginal cost per token once the system is running. Ops handoff to your team, or ongoing support.

How it runs

Duration: 6 to 10 weeks after a two-week usage audit of your current spend.

AI DevOps covers server and desktop builds, CI, and research-to-production pipelines.