About us
Models change. Your integration layer shouldn't.
Velokey is a single OpenAI-compatible API that unifies 120+ text, image, video, and audio models from 20+ providers behind one integration. Pricing is clear before you call, switching models is one parameter, and there's no lock-in and no rewrite.
120+
Models available
20+
Upstream providers
99.9%
Observed uptime
1
API, many SDKs
01
What we are
Velokey is an access layer that sits between your code and the model providers. It isn't a model, and it isn't an everything platform. It does one specific thing: let you call the major text, image, video, and audio models reliably through one API, one key, and one pricing sheet.
Which provider a model belongs to, and which one you move to next month, should be handled by the access layer, not written into your product code.
02
Where it breaks down
Wiring AI models into a real product should be a decision you can make calmly. But today's model layer is fragmented: providers price differently, parameter formats, retry behavior, and async patterns diverge, release cadences aren't in sync, and billing often doesn't match the logs.
So the part that should be infrastructure becomes something each team rebuilds on its own, and rebuilds again every time the model landscape shifts.
03
The standards we hold ourselves to
These are what we ask of ourselves. Each one is something you can verify before you start, not just sense afterward.
Pricing is public before you call
Every model's price is clear before you create a key or send your first request. The pricing page, the console, and the bill all describe the same thing.
Switching models is one parameter
Move between GPT, Claude, Gemini, and image and video models by changing a single model parameter, with no stack rewrite and no re-integration.
We don't store your requests or responses
Velokey runs as a secure proxy and keeps neither request content nor model output. Traffic is encrypted end to end with TLS 1.3, and audit logs record session metadata only.
Automatic failover when upstream breaks
We health-check providers and switch to a working node when one upstream degrades or goes down, with the routing overhead itself kept in the millisecond range.
One key, traceable and revocable
A single Velokey key replaces the several provider keys you'd otherwise log into, rotate, and safeguard. Usage is tracked per key, and any key can be revoked at any time.
04
What we don't do
Some things we're able to do but choose not to, because they'd conflict with being transparent, reliable, and free of lock-in.
We don't train our own models
We're a neutral access layer and don't compete with the models running on us. Use whichever fits best; we have no reason to favor one.
We don't optimize for demos
Async, retries, callbacks, status queries, and provider changes are treated as core. The gap between a model and a product usually shows on the ten-thousandth call, not the first demo.
We don't hide pricing or use your data
Our revenue comes from transparent usage-based billing, not from hidden markups, and not from reselling your request data.
We don't create switching costs
We're compatible with OpenAI, Anthropic, and Google SDK formats, and most code only changes a base URL and key. You can move away at any time; we'd rather you stay because it works well.
05
Who we build for
Velokey is built for three kinds of teams with different goals but similar needs: stable access, clear cost, and flexible selection.
Developers shipping production apps
You want predictable behavior, clear pricing, and a model layer that doesn't go down because one provider does. One key, one SDK, all models behind it.
Read API docs →Teams scaling AI capabilities
You need to compare models, route by quality or cost, and be sure that what worked yesterday still works today, without rewriting code.
Browse models →Media generation workflows
Production-ready async APIs for Veo, Sora, Kling, Seedance, Wan, and more: Task IDs, polling, Webhook callbacks, retry handling, and a clear per-output cost.
Read docs →06
Where we are and aren't
Transparency also means being clear about what we're not, and what uptime actually depends on.
We're an access layer, not the model owner
A model's capabilities, quality, and limits come from the upstream provider, not from us. What we provide is uniform, stable, transparent access, not the model itself, so we won't overstate what a model can't do.
Uptime partly depends on upstream
We reduce single points of failure through monitoring and automatic failover, but we can't make promises about what we don't control. When several upstreams fail at once, what we can do is switch quickly and report it honestly.
Get started
Give your model access to a layer that holds.
Create an account and reach every model with one key: see pricing before you call, switch whenever you need, and rewrite nothing.