Compresr
LLM context compression for better accuracy
Compresr is active in the b2b space based in San Francisco, CA, USA.
Profile
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.
Within the b2b space, the company focuses on its core offering rather than a broad product line.
The business is associated with San Francisco, CA, USA.
It is recorded at the Winter 2026 stage.
Recorded headcount: 4 employees.
Directory analysis
Compresr offers an API that compresses large language model (LLM) context to reduce token usage while preserving essential information. The service is designed as a drop‑in replacement for agents and retrieval‑augmented generation (RAG) workflows, aiming to cut costs and improve accuracy for developers. It targets enterprises that rely on LLMs for applications such as chatbots, content generation, and knowledge‑base search.
Positioning: Compresr addresses a common pain point in LLM deployment by reducing token consumption, potentially lowering infrastructure costs and latency. Its positioning as a plug‑in for existing agents and RAG pipelines places it within the growing market for LLM optimization tools.
Note: Compresr is a small San Francisco‑based startup focused on LLM context compression.
Auto-generated directory analysis from public data · updated 7 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | San Francisco, CA, USA |
| Country | USA |
| Employees | 4 |
| Stage | Winter 2026 |
Website: compresr.ai
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