The Token Company | Y Combinator
Winter 2026 (W26) batch. LLM input compression middleware (bear-1 / bear-1.1) cutting tokens ~66% in <100ms.
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Evidence-bound summary — expand sections for movement, risks, and signals.
Memo snapshot · May 20, 2026, 6:12 PM
DealFlow OS uses public web data and automated enrichment. Research may be incomplete, outdated, or incorrect. Verify important information before making investment or outreach decisions.
The Token Company
Raised $500K across 1 funding round. Latest: $500K Pre-seed (Jan 2026). Investors: Y Combinator. (High).
Seed (YC)
Verified facts
+5 more in Recent movement below
Funding
Raised $500K across 1 funding round. Latest: $500K Pre-seed (Jan 2026). Investors: Y Combinator. (High).
Hiring
1 hiring‑related row(s); role‑spam risk if mostly generic boards (Low).
GitHub
No GitHub‑linked evidence indexed (Low).
Product / news
8 product/news‑styled row(s); headline risk without filings (High).
Traffic / social
No traffic/social evidence indexed (Low).
Winter 2026 (W26) batch. LLM input compression middleware (bear-1 / bear-1.1) cutting tokens ~66% in <100ms.
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Strongest / recent news-style rows
The Token Company | Y Combinator
Wed, May 20, 06:12 PM · confidence 88%high quality
https://www.ycombinator.com/companies/the-token-companyThe Token Company - LLM Input Compression with bear-1 & bear-1.1
Pricing · Sun, May 10, 10:48 PM · confidence 90%high quality
https://thetokencompany.com/pricingLaunch YC: The Token Company
Wed, May 20, 06:12 PM · confidence 85%medium quality
https://www.ycombinator.com/launches/Pb3-the-token-company-intelligent-compression-for-llm-context-bloatNewest first · 12 event(s)
Winter 2026 (W26) batch. LLM input compression middleware (bear-1 / bear-1.1) cutting tokens ~66% in <100ms.
bear-1 LLM input compression models.
Source: Careers
Join The Token Company. We're hiring ML engineers, software engineers, and more to build the compression layer for LLMs.
Source: Blog / news
Most RAG applications over-fetch context by 3-5x. Break down where your retrieval tokens go and how compression, reranking, and chunk hygiene cut costs.
Source: Blog / news
Pax Historia, processing 193B tokens/month on OpenRouter, ran a 268K-vote model arena with bear-1.1 compression. Compressed models scored higher and A/B tests showed +5% purchase amount lift.
Source: Blog / news
Helonic runs AI agents on construction drawings at near million-token prompts. bear-1.2 compression trims tokens while preserving every critical detail.
Source: Blog / news
A practical framework for reducing LLM API costs across system prompts, conversation history, RAG context, tool schemas, and output. Real pricing math included.
Source: Blog / news
bear-1.1 is the latest LLM input compression model from The Token Company. An improved version of bear-1 with better accuracy preservation and faster compression speeds. Reduce AI costs by 3x.
Source: Blog / news
bear-1 is an LLM input compression model by The Token Company that reduces tokens by 66% while maintaining or improving accuracy. Reduce AI costs by 3x with a single API call.
Source: Blog / news
Read about the bear-1 and bear-1.1 LLM compression models from The Token Company. Learn how token compression reduces AI costs by 3x while improving accuracy.
Source: Pricing
Simple pricing for LLM input compression. Free tier to get started, Pro for production, Enterprise for scale.
Compresses 100k tokens in under 100ms.
1 row(s)
bear-1 LLM input compression models.
https://thetokencompany.com/2 row(s)
Source name: Pricing
Simple pricing for LLM input compression. Free tier to get started, Pro for production, Enterprise for scale.
https://thetokencompany.com/pricingCompresses 100k tokens in under 100ms.
https://www.ycombinator.com/launches/Pb3-the-token-company-intelligent-compression-for-llm-context-bloat1 row(s)
Winter 2026 (W26) batch. LLM input compression middleware (bear-1 / bear-1.1) cutting tokens ~66% in <100ms.
https://www.ycombinator.com/companies/the-token-company1 row(s)
Source name: Careers
Join The Token Company. We're hiring ML engineers, software engineers, and more to build the compression layer for LLMs.
https://thetokencompany.com/careers7 row(s)
Source name: Blog / news
Most RAG applications over-fetch context by 3-5x. Break down where your retrieval tokens go and how compression, reranking, and chunk hygiene cut costs.
https://thetokencompany.com/blog/why-rag-token-costs-are-highSource name: Blog / news
Pax Historia, processing 193B tokens/month on OpenRouter, ran a 268K-vote model arena with bear-1.1 compression. Compressed models scored higher and A/B tests showed +5% purchase amount lift.
https://thetokencompany.com/blog/pax-historiaSource name: Blog / news
Helonic runs AI agents on construction drawings at near million-token prompts. bear-1.2 compression trims tokens while preserving every critical detail.
https://thetokencompany.com/blog/helonicSource name: Blog / news
A practical framework for reducing LLM API costs across system prompts, conversation history, RAG context, tool schemas, and output. Real pricing math included.
https://thetokencompany.com/blog/cut-llm-api-costsSource name: Blog / news
bear-1.1 is the latest LLM input compression model from The Token Company. An improved version of bear-1 with better accuracy preservation and faster compression speeds. Reduce AI costs by 3x.
https://thetokencompany.com/blog/bear-1-1Source name: Blog / news
bear-1 is an LLM input compression model by The Token Company that reduces tokens by 66% while maintaining or improving accuracy. Reduce AI costs by 3x with a single API call.
https://thetokencompany.com/blog/bear-1Source name: Blog / news
Read about the bear-1 and bear-1.1 LLM compression models from The Token Company. Learn how token compression reduces AI costs by 3x while improving accuracy.
https://thetokencompany.com/blogSign in as an active team member to view private notes, watchlist controls, transcript evidence, and interaction history.