The site mind.
The intelligence that runs every robot in a critical facility. Any body. Supervised, permissioned, on the record.
The operator buys a robot that does the rounds. The mind is what they keep.
One intelligence that runs, gates, and attests every robot in the building. We buy the body, rent the motor brain, and build the mind that outlives both, including for the robots a site already runs.
The first facility funds the fleet.
We launch where accountability is already mandated: care facilities, where a robot is allowed on the floor only with supervision, permissions, and a record. That is the product, not an obstacle.
Under the staff member it multiplies.
One annual contract per site, priced under the loaded staff member the robot multiplies. Staff are not replaced; they are multiplied, and the site adds no capex.
The operator signs.
A clear purchaser with a mandated reason: the site already has to prove who was on its floor, doing what, under whose permission.
Help counts before full autonomy.
This market accepts a supervised robot on day one, which lowers the autonomy bar to something shippable now and starts the data engine.
The same four jobs run next in hospitals, logistics, data centers, energy, and defense installations. Every site deployed funds the fleet that follows.
The mind already exists.
Cole is our planning and memory agent, in production with real users today. It plans, remembers, runs modular skills, and acts under human supervision. No robot in the loop yet: the mind, ahead of the body.
Most teams are still building the mind. Cereal is dropping in one that already works, built to run any body on the floor.
Explore the technologyAI is leaving the screen.
Software minds plan, reason, and advise, but stay trapped inside a screen.
An embodied mind perceives, remembers, and acts in the physical world. It doesn't just answer. It shows up.
Every robot arrives as a stranger.
Robots are getting more capable. But the intelligence stays trapped in one model, one machine, one deployment. Every new body must relearn the building: the layout, the rules, the permissions, the people. We call this the continuity gap.
Swap the robot, lose the relationship. Upgrade the model, start over. A robot without a persistent mind is a first-day employee forever: intelligence improves, and nothing accumulates.
One persistent, permissioned understanding of the site, loaded by any compliant body on arrival, including the robots already on the floor.
Robots need skills. Buildings need continuity.
The short version: one mind runs the whole building, not one body. See it move between two bodies →
We buy the body, rent the motor brain, and build the mind that outlives both.
Billions into hardware, manufacturing, and one form factor. The intelligence comes last, welded to that body, and dies with it.
The operator signs one contract with one company. Underneath, the architecture stays body-agnostic, so the body can change and the site never starts over. In software the value moved from the model to the harness. In physical AI, the harness is Cereal.
One mind. Any body.
The world is human-shaped.
Doors, stairs, counters, shelves, handles, tools, and appliances were all built around human bodies. To operate naturally in them, a mind needs a body it can transfer into: one that can move, see, speak, reach, carry, and stand where people stand.
Human-scale bodies are the interface for a human-built world. The mind is what makes any of them useful.
What a mind must master to act in the world.
See the world as it is.
Natural two-way conversation.
Grasp, move, and hold.
Navigate human spaces.
Remember what matters.
Improve under human control.
The scientific foundations of general embodied intelligence.
An agenda, not a victory lap. Cole is the live proof that the substrate already runs.
Embodied foundation models
Vision, language, memory, planning, and action, plus the runtime that uses and improves them.
World models
Persistent understanding of buildings, objects, people, and routines. Where Cole's memory becomes a differentiator.
Simulation science
Our training factory: procedural sites, synthetic failure, curriculum, and sim-to-real measurement.
Embodiment contract
A runtime abstraction that lets one mind transfer across arms, bases, and humanoids.
Built, formalized, and pre-committed.
Working results first, architecture second, and the evaluation protocol published before the claim.
Cereal OS v1.1: one mind, two bodies.
The same mind and memory completing the same task across two embodiments in simulation, under a 49-test suite, every action attested.
The Embodiment Contract.
A robot advertises what it is; a skill declares what it needs; the runtime binds or refuses safely. The portability boundary, made precise.
Persistent Embodiment Benchmark.
The evaluation we intend to win, pre-committed before the results: persistence, cross-body transfer, and intervention efficiency.
The same mind. The same shift. Any body.
One intelligence layer, running the same shift across three different bodies: transport, transport, staging.
Teach one body once. The next one already knows.
The demo that matters is not a robot doing a trick. It is the moment a second robot inherits the first one's understanding, and its rules.
Teach Body A
Tell the mobile robot which drawer the storeroom keys live in, and who on the shift may ask for them.
Introduce Body B
A fixed arm joins the floor. Different vendor, different morphology, same mind.
It already knows
Body B fetches the keys from the right drawer, honors the same permission rule, and was never taught either.
Prove it
The shared memory and the attested audit trail show exactly what transferred, and why the action was allowed.
The proof is not two robots cooperating. It is one mind persisting.
A building full of people is the hardest useful proving ground.
Unstructured, high-variance, safety-sensitive, and regulated. If a mind is useful here, it transfers anywhere.
Concept renders, not footage of a shipping product.
Transport
Carts, parts, samples, supplies, and meals between stations. The trips that eat a shift.
MobilityFloors and aisles
Clear, dry, unobstructed. Spills, blocked exits, and trip hazards caught before the incident report.
PerceptionStaging
Materials staged on schedule: medication in a care site, kits in a lab, parts on a line. Every hand-off logged for audit.
PlanningRounds and presence
The same eyes in the same rooms every shift. Notices change. Calls a human.
World modelEscalation
When a task trips its envelope, a trained operator steps in, disclosed by a mode light on the robot. Autonomy is earned skill by skill.
Human-in-the-loopThe record
Every action runs under a room-level permission and lands in an attested log the site can hand to a regulator.
AttestationStart useful. Learn the building. Expand without starting over.
Four jobs, done reliably.
One reference body performs the four jobs every floor has, supervised from day one.
Understanding that accumulates.
Through approved interactions and corrections, the mind builds a persistent, permissioned record of the site. Every update is gated, versioned, and reversible.
More tasks. More bodies. Same mind.
New capabilities arrive as skills, and a second body, or a robot the site already runs, inherits the site record and its permissions the day it is connected.
One mind, any body is not an architecture diagram. It is the product journey: what the site teaches survives every upgrade.
The next assistant won't live in a chat window.
Permissioned intelligence, visible by design.
A robot on a floor full of people has to answer for itself: what it perceives, what it remembers, who controls that memory, and who may ask it to act. In Cereal those answers are product surfaces the operator and the regulator can read, not policy documents.
A wrong answer on a screen is a typo. A wrong action on a floor with people on it is an incident. That is why dependability is not a feature of the product; it is the product.
The founders already invented the hard part.
Named inventors on the foundational simulation-driven robotics patents from Google X and Everyday Robots, the exact sim-to-real approach Cereal runs on. Everyday Robots proved the problem was real. Cereal is the post-LLM restart: world models predict, the twin verifies.
ex-Google X and Everyday Robots. Author of foundational embodied-intelligence patents.
LinkedIn ↗Google X, Wing, Everyday Robots, DeepMind, Stack AV, 1X, Cruise. Named inventor on simulation and imitation-learning patents.
LinkedIn ↗Analog, Pocodot, and Cole. Granted inventor in secure interoperability and attestation.
LinkedIn ↗Former CEO, SeeChange Health · SVP, UnitedHealth · Chief of Staff, Aetna · led healthcare strategy, Fidelity Health Care Group · co-founder, HCG Secure.
LinkedIn ↗PhD Robotics, Caltech · Google X (perception lead, Everyday Robots; Tidal) · Apple · Applied Minds · Maxar · VP Software Engineering, Nauticus Robotics.
LinkedIn ↗Inventor credentials reflect prior employers · recruiting from
One mind. Any body.
Questions, answered.
What is Cereal?
Cereal is the site mind: one intelligence that runs, gates, and attests every robot in a critical facility. Identity, memory, room-level permissions, a human on the escalation path, and an attested record the operator can hand to a regulator. We buy the body, rent the motor brain, and build the mind that outlives both.
How is Cereal different from other robotics companies?
Body makers sell a body. Model companies sell a brain. Humanoid companies sell both, welded together. Cereal is the harness underneath: identity, memory, permissions, and the attested record, running every robot in the building, including the ones the site already runs. Swap the hardware or the model and the operator keeps the rules, the record, and the chain of custody.
What is the continuity gap?
Robots are becoming more capable, but every new robot still arrives as a stranger: intelligence stays trapped in one model, machine, or deployment, and each body must relearn the building, its rules, and its permissions. Cereal closes the continuity gap with one persistent, permissioned mind that any compliant body can load.
What can a Cereal-powered robot do?
The four jobs every floor has: transport between stations, floors and aisles kept clear, materials staged on schedule, and rounds and presence. Deliberately mundane, each under human supervision, each logged for audit.
What is Cole?
Cole is our planning and memory agent, in production with real users today. It plans, remembers, runs modular skills, and acts under human supervision. No robot in the loop yet: the mind, ahead of the body.
What happens to the memory when a site switches robots?
It stays with the site. Cereal stores the mind (the world model, the site record, permissions, and tasks) in body-independent form, so a new robot loads it, re-localizes into the same map of the building, and resumes where the last one left off. Switching robots should not mean re-teaching the building.
Why start in care facilities?
Because accountability is already mandated there. A robot is allowed on the floor only with supervision, permissions, and a record, and those are exactly what Cereal sells. Operators sign annual per-site contracts, and the same four jobs run next in hospitals, logistics, data centers, energy, and defense installations.
Is Cereal safe?
Cereal is supervised from day one, with deterministic safety code beneath the mind. The AI never holds safety authority. It is useful before fully autonomous, and earns autonomy skill by skill.
Can Cereal see through the site's cameras?
No one sees through them by default. Perception sources are grants the operator makes room by room and can revoke at any time, every access lands in the attested audit trail, and the presence layer watches pose skeletons, not stored video. It notices and notifies; it never records a person.
Does Cereal build humanoid robots?
No. We buy the body off the shelf and rent the motor brain from whichever lab passes our gate. Cereal deploys and supports the robot under one contract and runs it with the site mind. Because the mind is body-agnostic by design, the same building can move from a wheeled base to a humanoid, or keep the robots it already runs, without starting over: one mind, any body.
What is the embodiment contract?
A runtime abstraction between mind and body. Each body publishes a capability manifest (reach, mobility, sensors, payload), and the mind scopes every task to what that body can safely do. It is how the same intelligence runs a humanoid and a bolted-down arm without retraining.
Who is behind Cereal?
The founding team helped build Everyday Robots, Google's moonshot for robots in human environments. Google pulled Everyday Robots back from market to research, then shut it down in January 2023, before it ever shipped to the world; inside Alphabet it was already doing real work. The team is regrouping at Cereal to finish the job, joined by veterans of DeepMind, Cruise, 1X, and real-time graphics.
The next AI platform lives in the building with you.
Useful. Present. Trustworthy. Every shift.
One mind. Any body.
hello@cereal.bot
Concept render · the shift starts staged.