Y Combinator W26, San Francisco, California

Remove the noise. Keep the signal.

Compresr is a context-compression company. Long prompts drown the answer-bearing tokens in noise: the model reads everything but reasons over a fraction of it. That is context rot: more context, worse answers, higher cost.

We compress context with the query in mind, dropping the tokens your model never uses and keeping the ones that decide the answer. It works horizontally (across providers, models, and the rest of your stack) because the right context matters no matter who generates the tokens.

Why trust the claims

Compression is the founders' research specialty, not a side project. The work is published, the benchmarks are public, and the system runs in production.

API uptime
99.95%

API uptime

P95 latency
~1.2s

P95 latency

avg compression
~60%

avg compression

The founding team

Four EPFL-trained researchers who have spent their careers on efficient ML and context compression.

Why trust Compresr

EPFL research lineage

Four founders trained at EPFL, and the CEO holds a PhD focused specifically on LLM context compression.

Y Combinator W26

Backed by Y Combinator and building in San Francisco, California and Europe (Switzerland).

See the signal for yourself

Start compressing context in minutes, or talk to the team about an on-prem deployment in your VPC.