Wattfare vs Whissle Gateway

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

The whole Whissle voice stack behind one gateway, reverse proxy, real-time WebRTC pipeline, and the agent runtime. Run the lightweight backend (no model weights) on a...

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.

About Whissle Gateway

The whole Whissle voice stack behind one gateway, reverse proxy, real-time WebRTC pipeline, and the agent runtime. Run the lightweight backend (no model weights) on a small VM with your own API keys, or add the separate Whissle models service for on-prem ASR/TTS/video with nothing leaving your network. The same engine that powers the hosted platform ships as a gateway you can run on your own infrastructure: a reverse proxy in front of a real-time WebRTC voice pipeline and the agent runtime.