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Compresr

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LLM context compression for better accuracy

W26·Winter 2026·B2B·Team of 4·Founded 2026

About

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.

Founders

  • Ivan Zakazov· Founder

    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

  • Kamel Charaf· Founder

    Co-founder & COO @ Compresr (YC W26) | EPFL Data Science Masters | ex-Bell Labs

  • Oussama Gabouj· Founder

    Cofounder and CTO @ Compresr. Previously worked in research at EPFL’s DLab and AXA, focusing on efficient ML systems and prompt compression.

Product launches · 1 launch

Change history · none recorded

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