What The Token Company does
The Token Company offers prompt-compression middleware that reduces the number of input tokens sent to large language models. Its goal is to cut LLM costs and improve outputs by removing low-signal content before requests reach the model, sitting as a layer between a prompt and the LLM call.
Key capabilities
Its Bear model uses a small ML classifier that scores every token in the input and removes those least likely to affect the output. Compression is deterministic: it deletes tokens rather than summarizing or paraphrasing, preserving original text, code structure, citations, numbers, and JSON. The company describes typical reductions of 10 to 40 percent while maintaining accuracy, single-API-call integration, adjustable aggressiveness, low p95 latency, and an optional zero-data-retention mode.
Who it's for
The AI infrastructure tool is aimed at teams running long inputs through LLMs, including agent frameworks, RAG systems, document-heavy workflows, and chat applications with long histories. Pricing is consumption-based on tokens removed.