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Compresr

LLM context compression for better accuracy

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.

Topics

Location
San Francisco, CA, United States
Team size
3 employees
YC batch
Winter 2026
Status
Active
Stage
Early stage

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Questions and answers

What does Compresr do?

LLM context compression for better accuracy

Where is Compresr based?

San Francisco, CA, United States

How many people work at Compresr?

3 employees, according to the company profile.

Has Compresr raised money?

There are no funding rounds for Compresr in our data.

What are the alternatives to Compresr?

Similar startups: Fivetran, Mixpanel, and Rescale.