Compresr (YC W26) — 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.
Compresr is a Y Combinator company in the Winter 2026 batch. Its directory entry describes it as: LLM context compression for better accuracy. The founders listed are Ivan Zakazov (Founder/CEO), Berke Argin (Founder), Kamel Charaf (Founder/CPO) (Y Combinator directory entry, January 19, 2026).
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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.
Checked away from the directory entry. What is below does not come from the company's Y Combinator page.
Compresr is an LLM context-compression API: send long context plus your query, get back a shorter context that keeps the answer-bearing tokens and drops the rest. Cut token cost and latency; at light compression, match or beat full-context accuracy. Python SDK, TypeScript SDK, or hosted HTTP API.
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Ivan Zakazov
Founder/CEO
CEO @ Compresr. Previously researched LLM context compression as an EPFL PhD (Switzerland). Former Microsoft and Philips Research.
Berke Argin
Founder
CAIO @ compresr.ai. On a mission to make every token count | EPFL CS | prev UBS
Founders, titles and bios as the company published them. Photographs are our own copies of the ones on that record, so they do not break when the original link expires.
One of 338 companies held here in B2B › Infrastructure.
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