One system with four abilities no one else has fused: it thinks with radical energy efficiency, acts on long-horizon work, moves in the physical world, and lasts into the quantum era.
Strip away every technical term and this is the technology: one artificial intelligence system, engineered so that capability, efficiency, embodiment, and security are a single design problem — not four separate departments.
A sparse frontier brain: for any question, only the most relevant experts inside the model wake up — the way a hospital pages one specialist, not the whole staff. Frontier intelligence at a fraction of the energy.
It doesn't just answer. It completes long, many-step work — writing and testing code, running research, operating tools — checking its own output at every step, trained on verified success and failure.
Trained on video, sensor, and motion data, the same brain learns how the physical world behaves — gravity, friction, cause and effect — and a compact version of it runs inside robots, machines, and vehicles.
Every model, file, and message is protected with post-quantum cryptography today — locks a future quantum computer cannot pick — and Q-Lab stands ready to use quantum hardware the day it genuinely helps.
Today's leading AI gets smarter mainly by burning more electricity. We are engineering the other direction — and instead of asking for trust, we publish the number: an audited, quarterly, falsifiable measure of capability per joule. If we miss it, anyone can see.
Q-1 Edge is the compact form of the same brain — distilled to run on-device with sub-100 ms control loops. This is the design language of QuantaMind intelligence in physical form:
A design study of QuantaMind intelligence in physical form. The chest core is the point: the same brain that answers in the chat above runs here on-device — no cloud round-trip between perception and motion. World-model pretraining plus partner teleoperation data teaches hands, arms, and balance what physics allows.
Autonomous mobile robots that learn as a fleet — every mile driven by one machine makes every machine smarter.
FLEET LEARNING APIAction-conditioned world models — the Core predicts what happens next in the physical world, then drives toward the outcome.
SUB-100MS CONTROLSimulation generates over 10,000 robot-years of experience per real day — machines arrive in the field already experienced.
10,000 ROBOT-YEARS / DAYFrontier flagship — research, enterprise, and sovereign deployments.
DATACENTER · FRONTIER SCALEDistilled for high-volume API workloads at a fraction of the cost.
CLOUD · HIGH THROUGHPUTOn-device, inside robots, vehicles, and machines.
ON-DEVICE · SUB-100 MSEach milestone ships with something the world can verify — a model you can use, an index an auditor has signed, a machine you can watch move.
Silicon Valley. Security and safety charters stood up first.
Q-1 · Q-1 Mini · API platform, with the first audited Joule Index.
On-device models inside partner robots and machines.
Gigawatt-class, energy-first infrastructure (QuantaGrid).
The day quantum hardware honestly helps AI, Q-Lab moves first.
Every frontier lab says "trust us." Our answer is an engineered, named, funded, publicly auditable institution — the Human-First Institute — whose only job is to keep humans in charge. Five commitments, public and binding:
No QuantaMind system modifies, retrains, or improves its own architecture or weights without a named human approving each cycle, with a complete, tamper-evident log.
Every frontier system ships with an engineered, tested, physically enforceable shutdown path — at the model, serving, and infrastructure levels.
An independent Public Trust Council with a charter right to review frontier releases, publish dissent, and trigger Board review.
Public system cards for every frontier model, an audited annual Human-First Report, the audited Joule Index, and pre-release disclosure of dangerous-capability evaluations to government institutes.
This technology exists to serve human interests — health, education, science, dignified work — and represents the people who are not in the room: the public, workers, and future generations.