Open-source engine for faster local language model inference with bit-for-bit identical output
Compress prompts and reduce LLM API costs while preserving answers
Stage
Not given
Startup
Founded
Not given
2024
Based in
Not given
Not given
Pricing model
Open source
Free
Pricing
Not given
Open beta: $0/month with unlimited API calls, all features, and no credit card required. After beta: a generous free tier and simple usage plans with early users keeping their perks.
Key features
Speculative decoding for faster token generation
Prompt caching for context reuse
Real-time prompt processing while typing
Concurrent request batching
Bit-for-bit identical output verification
Multi-GPU and multi-backend support (CUDA, Vulkan)
Vision model support with image encoding
Mixture-of-experts model support
RAD-1 automatic draft token generation
Cross-platform support for Windows and Linux
Compress long prompts, logs and documents by removing filler while preserving code, numbers and facts
Convert web pages to clean Markdown instead of raw HTML
Shrink JSON responses into TOON format with headers and CSV-like rows
Available as MCP server for Claude, Cursor, Windsurf and VS Code
Gateway integration for OpenAI and Anthropic SDKs
REST API for direct integration
Self-hosted or hosted gateway options
Dashboard showing token and cost savings
Works with any chat model including local models
Output modes to control answer verbosity: lite, caveman and ultra
What makes it different
Exact deterministic inference: all default optimizations preserve bit-for-bit identical output compared to plain decoding
4.5× faster performance on editing tasks on small models compared to llama.cpp
Verifiable reproducibility through receipt system that records all request parameters
Nine optimization techniques enabled by default with ability to disable each individually
No dependency on draft models or external selections for speculative decoding
Rule-based compression takes milliseconds without using another LLM
Your API key never leaves your infrastructure when using self-hosted gateway
Streaming, tool calling and function calling work unchanged
Real-world savings up to 42% on monthly LLM bills according to calculator
Kinetic
AgentReady