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The Token Company
ActiveCompression middleware that improves LLM outputs
Winter 2026Founded 20252 peopleSan Francisco, CA, USA
AI insightcan contain mistakes
LLM Context CompressionAPI/InfraLLM API consumers, AI teams, applicationsMedium competition
Moat
Proprietary compression algorithms; demonstrated cost and latency improvements; easy integration as middleware.
Key risk
Model providers may add native compression; commoditization risk; performance gains volatile by model/task.
Why now
LLM costs exploding; context window optimization critical for economics; demonstrated 5% purchase lift evidence.
Competitors
LiteLLM, Llamaindex, Langchain (caching), Anthropic Prompt Caching, OpenAI Batch API
↻ Pivot / rename signal
This company has previously operated under “Otsofy”. A rename frequently marks a pivot in positioning or product — useful raw material for variant ideas.
About
Compression middleware that removes context bloat in milliseconds, lowering costs and improving end-to-end latency. Compression is especially effective across natural language workloads. In a blind LLM arena case study with one of our customers, compressed requests increased user preference, lowered costs, and lifted purchase volume by 5%.
Founders · 1
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