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

    Coming soon

    Models

    We develop compact models and inference systems for workloads where latency, cost, privacy, and deployment constraints matter. Selected models, evaluations, and technical results will be published as they mature.

    Model areas in development

    Foundational language models

    Compact models for reasoning, generation, structured outputs, and tool use.

    Retrieval systems

    Search, retrieval, reranking, and generation over private and domain-specific knowledge.

    Document understanding

    Models for extracting text, structure and entities from documents, forms etc.

    Physical AI & robotics

    Perception, planning, and decision models for machines operating in physical environments.

    Speech

    Models for transcription, synthesis, speaker understanding, and real-time voice interaction.

    Have a workload existing models don’t fit?

    Talk to our research team →

    Built for production

    Put the right-sized intelligence to the work.

    Start conversation →

    General intelligence is becoming infrastructure.

    Enterprise advantage will come from how efficiently intelligence is applied, not simply from access to the largest model.

    The best model is the one built around the workload.

    Specialized models can deliver better economics, lower latency, and more predictable performance when the task is clearly defined.

    Enterprise AI should live where the work happens.

    Intelligence should run inside existing products, workflows, and infrastructure, with control over data, deployment, and performance.

    Conscious Engines

    Specialized AI systems engineered around real-world workflows, enterprise data, and production infrastructure.

    Small · Instant · Invisible

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