Production AI needs a home.
We own the building.
Your AI systems, deployed on GPU-accelerated infrastructure we operate ourselves — private endpoints, enterprise API integrations, and monitoring in production from the first request.
Everything inside the dashed line runs on hardware we operate. No mystery hosting between you and your AI.
Deployment is the product,
not the afterthought
Most AI initiatives stall between the demo and production. That gap — hosting, integration, monitoring, lifecycle — is exactly the part we industrialized.
Production AI deployment
From working pilot to monitored production: staged rollouts, a go-live checklist, and a runbook for what happens after launch — not just a handoff.
Private model endpoints
Your systems answer on endpoints scoped to your organization — reachable by your applications and your people, invisible to the public internet.
Enterprise API integrations
Deployments wired into ERP, CRM, accounting, and custom internal systems — with authentication, retries, and audit logs handled from the start.
GPU compute for AI workloads
Inference and heavy processing run on our own GPU fleet, T4 through A100 — the same hardware we sell self-serve.
Browse GPU instancesAnalytics platform support
Pipelines that keep dashboards honest: scheduled jobs, data refreshes, and AI-assisted reporting running on infrastructure sized for the workload.
Scaling & lifecycle management
Versioned deployments with rollback on standby, capacity that grows with your volume, and planned model updates instead of surprise ones.
Why owning the stack matters
Most AI vendors rent their compute and pass you the mystery. We run our own. Here is what that buys you.
One accountable vendor
The team that built your AI runs the servers it lives on. One contract, one SLA, one number to call — no triangle of finger-pointing between an AI shop and a hosting company.
Predictable costs
Our hardware, our transparent pricing. Infrastructure costs are quoted up front and hold steady — no usage cliff three months in, no repricing you find out about on the invoice.
Data stays put
Your workloads run on our US-based infrastructure, access-controlled and data-minimized. We can answer "where is our data?" without opening a ticket with somebody else.
Deployed in minutes.
Watched from minute one.
Provisioning on our GPU fleet typically takes under a minute. The deploy pipeline binds a private endpoint, wires your integrations, and switches on monitoring before the first request arrives — the same AIOps coverage detailed on AI Operations & Security.
- 24/7 monitoringalerting from the first request — see AI ops
- Versioned releasesthe previous version stays warm for rollback
- Security reviewassessment and access-control check before go-live
Honest answers about hosting
Can we host on our own cloud instead?
What models actually run on your hardware?
What uptime do you commit to?
Do you review security before go-live?
Ship your AI to hardware with a name on the deed.
Our racks, our network, our team — one SLA covering all of it. Tell us what you are running, and we will scope the deployment in a single consultation.