Compresr

Compresr

LLM context compression for better accuracy

4 employees
Seed

About Compresr

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.

Company details

Team Size4

Funding

Last stage

Seed

Investors

Y Combinator

Founders

Oussama Gabouj

Oussama Gabouj

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

LinkedIn
Ivan Zakazov

Ivan 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).

LinkedIn
KC

Kamel Charaf

EPFL Data Science Masters graduate, previously at Bell Labs.

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.