StartupHub.ai · May 2026
StartupHub described Compresr as an API plus open-source Context Gateway proxy, noting its usage-based pricing and compression approach for LLM agents.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Compresr is a YC W26-backed startup building a question-aware LLM context compression API plus an open-source proxy that reduces prompt/tool-output token bloat, lowers latency and cost, and is aimed at agents, RAG, and regulated enterprise workloads.
Primary product
LLM context compression API
Founded
2026
Headquarters
San Francisco, California, United States
Team size
1-10 employees
Industry
Information Services
Sub-industry
AI infrastructure / LLM context compression
Offices
0 jobs at Compresr
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Business model
Stage
Seed
Total raised
$500K
Latest round
Seed · Jan 2026
Latest amount
$500K
Jan 2026 · Y Combinator
Leadership
Co-founder & CEO
Co-founder & CTO
Co-founder & COO
Co-founder & CAIO
Investors
Research-lab style, hypothesis-driven, fast-paced, highly collaborative, and high-intensity YC startup culture.
Compensation
No public salary bands were found; public hiring materials describe the internship as offering competitive compensation.
Benefits
Pricing
Usage-based, per-token pricing for the hosted API; public model pricing is posted on the pricing page, and on-prem deployment is custom volume pricing.
Differentiators
Technology
Customers
Competitors
Estimated revenue
≈$335K–$1.2M
StartupHub.ai · May 2026
StartupHub described Compresr as an API plus open-source Context Gateway proxy, noting its usage-based pricing and compression approach for LLM agents.
Top AI Product · Mar 2026
Covered Context Gateway as an open-source proxy from Compresr, describing cost and latency reduction claims and the early traction of the GitHub project.
Forbes · Mar 2026
Forbes highlighted Compresr among promising YC W26 startups, framing it as solving the context problem so agents receive the information they need without bloat.
LinkedIn · Mar 2026
Compresr announced the Context Gateway launch, describing how the proxy compresses tool output before it reaches the model to reduce cost, latency, and context bloat.
Y Combinator
YC launch page introducing Compresr as a context-compression layer for LLM pipelines and agents, emphasizing 100x compression claims and open-source proxy integration.