AI Engineering
Instant access to every model, and everything you need to run it in production
Every provider has its own SDK, request shape, and rate limits. Concentrate puts them behind one API, with automatic failover so your uptime isn't capped by one provider, and spend tracked across all of them.
Create an API key, route to any model, and swap your base URL.
First request
Minutes
Endpoint
/v1/responses
Models
120+
Key
support-prod
Scoped Universal API key for one app.
Model
gpt-5.5
Swap in another model without changing the app flow.
Log
200 OK
Request status, tokens, and cost in one row.
New capabilities
What your team gains with Concentrate
One key and endpoint
Skip separate provider setup for every app, agent, and experiment.
Model switching
Try GPT-5.5, Claude Opus 4.8, Gemini 3.1, Qwen, DeepSeek, and more.
Logs when it breaks
See status, latency, provider, tokens, and cost for each request.
Where it fits
For builders who need model choice without another integration project
AI engineers care about the first request, the failure case, and whether a model swap turns into a week of SDK work.
Drop-in request path
Use the Responses API shape, pass a model name, and keep your app code focused on the product workflow.
Retries and fallbacks
Handle provider errors and route changes in one place instead of scattering retry logic across apps.
Coding tools
Use Cursor, Claude Code, Cline, OpenCode, and app code through the same managed model path.
Debuggable traffic
Inspect status, latency, tokens, provider, model, key, and cost when a request fails or gets expensive.
AI Engineering basics