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Compresr
ActiveLLM context compression for better accuracy
W26·Winter 2026·B2B·San Francisco, CA, USA·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· FounderCEO @ Compresr. Previously researched LLM context compression as an EPFL PhD (Switzerland). Former Microsoft and Philips Research.
Berke Argin· FounderCAIO @ compresr.ai. On a mission to make every token count | EPFL CS | prev UBS
Kamel Charaf· FounderCo-founder & COO @ Compresr (YC W26) | EPFL Data Science Masters | ex-Bell Labs
Oussama Gabouj· FounderCofounder 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
Cut token spend, reduce latency, boost generation quality.
Change history · 3 recorded
- July 12, 2026
- YC partner updated08:01 PM
- Founder profile updated08:01 PM
- Launches refreshed08:01 PM