Classer vs Wattfare

Production-grade models for query understanding, retrieval, and ranking, fine-tuned to your catalog, served at millisecond latency, integrated with your existing search...

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

About Classer

Production-grade models for query understanding, retrieval, and ranking, fine-tuned to your catalog, served at millisecond latency, integrated with your existing search infrastructure in days. Run the full pipeline or drop any one stage behind your existing stack. Route on what you extract: a part number sends the query straight to exact lexical lookup. Retrieve by meaning, not vocabulary, a query and a product can match with no words in common. Let retrieval cast a wide net, then put 27 billion parameters on reading the catch, ranking for purchase intent, not textual similarity.

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.