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.
Last stage
Seed
Investors
Oussama Gabouj
Cofounder and CTO @ Compresr. Previously worked in research at EPFL’s DLab and AXA, focusing on efficient ML systems and prompt compression.
LinkedInIvan Zakazov
EPFL PhD researcher focused on LLM context compression. Previously at Philips Research and Microsoft. Co-authored published papers on prompt compression (EMNLP-25, NeurIPS-24).
LinkedInKamel Charaf
EPFL Data Science Masters graduate, previously at Bell Labs.
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.