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

    Join us

    We're hiring researchers, engineers, and builders who want to make small models do big things.

    The people we're building this with, and the ones we haven't met yet.

    • Researcherswho think the most interesting problems in AI are not about scale.
    • Engineerswho measure progress in milliseconds and find that satisfying.
    • Builderswho read Asimov and Hofstadter and want to make both of them proud.
    • Dreamerswho think the gap between simulation and presence is an engineering problem, not a philosophical one.
    • Anyonewho has ever looked at a frontier model and thought — fast enough, specific enough, and this changes everything.

    If the question of what it would take to build a machine that genuinely knows a person keeps you up at night, we want to talk.

    Don't see your role?

    Reach out anyway — we're always interested in people who are obsessed with the problem.

    Built for production

    Put the right-sized intelligence to the work.

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    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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