How Xinity Works
No cloud migration. No workflow disruption. Xinity deploys directly on your hardware, connects to your existing tools in one line of code, and gives you full control over every AI call from day one.
Try Before You Deploy
Book a demo and experience Xinity Runtime live before any commitment.
We Assess Your Infrastructure
Before we touch anything, we map your existing hardware, network setup, and current AI usage. We identify the right GPU configuration for your workload and flag any prerequisites — so there are no surprises on deployment day.
We Deploy Xinity on Your Hardware
Our team installs the Xinity platform directly on your servers — in your building, behind your firewall. The platform is configured for your environment, your GPU nodes, and your security policies. Nothing touches the internet.
Your Existing Apps Connect Instantly
Xinity exposes a fully OpenAI-compatible API endpoint on your local network. Change one line in your config — your base URL — and every app, script, or workflow that currently calls a cloud API now calls your own infrastructure instead. No rewrites. No downtime.
We Configure Your AI Models
We deploy and configure the open-source models best suited to your use cases — from general-purpose LLMs to domain-specific models for healthcare, legal, or finance. Model routing is set up to automatically direct requests to the right model based on task type, cost, and latency requirements.
You Go Live. You Own Everything.
Your team starts using AI on your own infrastructure. The Xinity dashboard gives you full visibility: every AI call logged, costs tracked in real time, models monitored for performance. Your compliance team gets the audit trail they need. Your finance team gets the predictable costs they need.
FAQ
