We’re putting $5M behind research and development of smaller, specialized AI models for real-world deployment — Read our manifesto →

    Research and Development

    Experiments in model architecture, training, evaluation, and efficient inference

    All research

    Hybrid Lexical–Semantic Retrieval for Tool Selection in Agent Systems

    Conscious Engines

    A retrieval architecture that routes natural-language intent across thousands of API tools, combining lexical and semantic search stages.

    Agentic AI

    Kinetic-4B: A 4-Billion Parameter Model That Outperforms Claude Haiku at Tool Calling

    Conscious Engines

    A fine-tuned 4B open-source model that beats frontier models at tool calling, with p95 latency under two seconds on a single GPU.

    Agentic AI