LLM token compression middleware that reduces context token count in under 50ms to lower inference costs without changing existing code.
The Token Company's bear-2 is a proprietary compression model that processes raw LLM inputs before they reach the model, stripping statistical redundancies while preserving semantic intent, and delivers compressed representations in under 50ms with full determinism and cache safety. Integration requires a single line wrapping an existing OpenAI or Anthropic client. A safety-focused variant, bear-2-Safety, targets a 30% reduction in safety classifier costs while maintaining or improving F1 scores. bear-2 is a product of The Token Company.