They said weights are frozen. We taught them to grow.
Traditional AI is frozen at birth — the same model for everyone. Ours keeps learning during inference, adapting its weights to you. Cloud AI has met a billion people. Yours has only met you.
“We don't sell tokens. We set them free.”
The brain of embodied AI
When robots mature, wearables go mainstream, and smart homes truly connect — every product will need this kind of brain. Cloud AI will never get there: networks drop, latency spikes, subscriptions end, data doesn't come back. Embodied AI must keep its brain in the body.
Continuity across time, scenes, and devices. Not a fresh start every conversation. Not learning you from zero each time.
Learns user preferences, rhythm, and context from real interaction. Not a frozen capability curve from the factory.
Lives in the device, not rented from the cloud. Memory follows when you switch devices — never uploaded to someone else's servers.
“We are not making another AI tool. We are making the brain.”
“When the network drops, the robot shouldn't stop thinking.”
Products
On-device AI applications that bring intelligence to everyday life — private, free, and accessible to everyone.
Research
Per-layer weight streaming from NVMe storage enables models exceeding device memory to run inference on iPad and iPhone.
306-run empirical study revealing a novel batch verification amortization mechanism for MoE models.
Integrating finance, diet, mood, and reading data on-device with zero data leakage.
We're looking for researchers and engineers who want to push the boundaries of on-device AI.