Every AI system eventually runs out of room. Context windows fill up, tokens get wasted, and quality degrades. Not because the model isn't good enough, but because there's too much noise in the signal. Hypernym fixes that.

Our API compresses LLM context at runtime, including code, docs, and conversations, so models keep the right facts and teams get more throughput per dollar. We work across the AI infrastructure stack, from coding agents to multi-agent orchestration platforms, helping developers and enterprises run longer, more accurate AI workflows.

If you want to work on one of AI infrastructure's most fundamental problems with people who move fast and care about craft, we'd love to hear from you.

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