Our processHow we build, host,
and run your AI backend
Four steps from your idea to a live, scaling API. You bring the use case, we handle the entire AI backend, end to end.
Scope
Map your AI backend
A short working session to define your endpoints, data, models, and budget. You bring the use case, we turn it into a concrete backend spec.
- Endpoint and data mapping
- Model and budget selection
- Guardrails and limits defined
- A clear, agreed backend spec
Backend specBuild
Your custom backend, as real code
Our team builds a production backend for your exact use case: routes, RAG, tools, and guardrails. Real code on a real stack, not a no-code toy.
- Custom backend code
- RAG, tools, and guardrails
- Built to your exact use case
- Tested and reviewed
buildHost & Scale
Deployed, secured, auto-scaling
We deploy to private, auto-scaling infrastructure behind one Intgr8AI API key, with auth, rate limits, and billing handled. It scales to zero when idle and up under load.
- Private auto-scaling deploy
- One API key with built-in auth
- Metering and rate limits
- Scales to zero when idle
ProductionMaintain
We keep it healthy, you just build
We monitor, patch, and keep models current. You build your frontend and call the API. No DevOps, no on-call, and no surprise infrastructure bills.
- Monitoring and alerts
- Model and dependency updates
- Ongoing fixes and improvements
- Predictable monthly pricing
HealthReady to ship AI without the work?
Book a call and we will scope your AI backend together. You will be calling one API before you know it.