About Compresr
Summary
Compresr builds a context compression API for teams running LLM-powered agents and retrieval-augmented generation pipelines. It strips tokens from input context that the model would not meaningfully use, cutting token volume by up to 90% while matching or beating full-context accuracy on benchmarks. The product replaces manual prompt trimming and brute-force full-context calls that inflate cost and latency.
Business model
Per-token or per-query pricing accessed through a pip-installable SDK, with enterprise on-premises access available by arrangement.
Go-to-market
B2B developer teams adopt it through a self-serve SDK install and a live playground; enterprise and on-premises buyers engage through a booked intro call.
From the Y Combinator listing
LLM context compression for better accuracy
Compresr provides an API that compresses LLM context without losing what matters. It’s a drop-in for agents and RAG that cuts token costs and improves accuracy.
Facts
- B2B / B2B -> Infrastructure
- 4
- Active
- Early
Founders (4)
- Berke Argin
- Oussama Gabouj
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