isoquant
isoquant is a YC Fall 2026 (F26) company. Based in San Francisco, CA, USA. Team of 2.
About isoquant
Summary
isoquant runs open-source AI models on its own inference cloud, optimized across the full stack from GPU kernels to serving orchestration. Engineering teams replace their existing inference providers by swapping in an isoquant API endpoint, getting lower latency and higher throughput at reduced per-token cost. The product targets companies running inference at scale who are paying too much or hitting speed limits with current providers.
Business model
Per-token pricing on input, output, and cached input tokens.
Go-to-market
B2B companies using open models adopt isoquant self-serve by replacing their existing inference endpoint with an isoquant API key, with no code changes required beyond the endpoint URL.
From the Y Combinator listing
Self-optimizing inference cloud for faster, cheaper AI
Facts
- B2B / B2B
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (2)
- Mugdhaa Patankar
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