Jarvis needs
a body.
Persistent intelligence for robots in human environments: one trusted mind that remembers, learns, and moves across compliant bodies.
The family buys a Cereal.
One product: an integrated home robot, deployed and supported by Cereal, running a permanent mind. We build the mind, we deploy the robot, we own the home relationship.
The entry market funds the fleet.
We launch where the economics are loudest: homes already facing a $5,000 to $7,000 monthly alternative. An economics decision, not a mission statement.
A fraction of the alternative.
The comparison is not another gadget; it is a $5,000 to $7,000 monthly bill the household is already bracing for.
The adult child pays.
A clear purchaser with an urgent reason, buying peace of mind for the person who wants to stay home.
Help counts before full autonomy.
This market accepts a supervised robot on day one, which lowers the autonomy bar and starts the data engine now.
The least-funded lane in home robotics, with the clearest payer. Every home deployed funds the fleet that follows.
The mind already exists.
Jarvis isn't hypothetical. It's already running, and it's called Cole: a deployed neural OS that already plans, remembers, runs modular skills, and acts under human supervision. The mind, waiting for a body.
Most teams are still building the mind. Cereal is dropping in one that already works, built to run on any body.
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 home: the layout, the preferences, 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 permanent first-day employee: intelligence improves, and nothing accumulates.
One persistent, permissioned understanding of the home, loaded by any compliant body on arrival.
Robots need skills. Environments need continuity.
The pop-culture version: Jarvis ran the whole compound, not one suit. Why we keep saying Jarvis →
We build the mind, we deploy the robot, we own the home relationship.
Billions into hardware, manufacturing, and one form factor. The intelligence comes last, and stays locked to that body.
The family buys one product from one company. Underneath, the architecture stays body-agnostic, so the body can change and the home never starts over. The task is the commodity; the tenure is the product.
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 homes, objects, people, and routines. Where Cole's memory becomes a differentiator.
Simulation science
Our training factory: procedural households, 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 v0.1: one mind, two bodies.
The same mind and memory completing the same task across two embodiments in simulation, under a 40-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 task. Any body.
One intelligence layer, running the same task across three different bodies.
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 house keys live in, and who may ask for them.
Introduce Body B
A fixed arm joins the home. 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.
The home is the hardest useful proving ground.
Unstructured, high-variance, safety-sensitive. If a mind is useful here, it transfers anywhere. The home is the business, not a stepping stone.
Concept renders, not footage of a shipping product.
Fetch and place
Find an object and put it where it belongs.
ManipulationHazard detection
Notices leaks, open doors, scorch marks, broken glass.
PerceptionSpatial memory
Remembers where keys, tools, and packages were last seen.
World modelDoor and delivery
Answers the door, takes the package, and sets it inside.
PlanningRoutine assistance
Keeps the day on track and nudges what matters.
PlanningAccessibility support
Helps with physical tasks a body makes difficult.
Human-in-the-loopStart useful. Learn the home. Expand without starting over.
A few tasks, done reliably.
One reference body performs a small set of valuable household tasks, supervised from day one.
Understanding that accumulates.
Through approved interactions and corrections, the mind builds a persistent, permissioned model of the household. Every update is gated, versioned, and reversible.
More tasks. More bodies. Same mind.
New capabilities arrive as skills, and a second body inherits the context and permissions the day it is unboxed.
One mind, any body is not an architecture diagram. It is the product journey: what you teach the home survives every upgrade.
The next assistant won't live in a chat window.
Permissioned intelligence, visible by design.
A robot in the home 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, not policy documents.
A wrong answer on a screen is a typo. A wrong action in a kitchen is an injury. 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 ↗Inventor credentials reflect prior employers · recruiting from
One mind. Any body.
Questions, answered.
What is Cereal?
Cereal makes a home robot: an integrated robot the family buys from Cereal, deployed and supported by us, running a permanent mind that remembers the home, its people, and its rules.
How is Cereal different from other robotics companies?
We build the mind, we deploy the robot, we own the home relationship. The mind is permanent and body-agnostic: replace the body, keep the mind, and the home never starts over. The field has funded bodies and motor-brains; the permanent mind on that shelf is still open, and that is the part Cereal owns.
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 home, its preferences, 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?
Bounded, useful tasks in real homes: fetch and place, hazard detection, spatial memory, door and delivery handling, and accessibility support, each under human supervision.
What is Cole?
Cole is Cereal's intelligence layer: a deployed neural OS that plans, remembers, runs modular skills, and acts under human supervision. The mind, waiting for a body.
What happens to my robot's memory when I switch robots?
It travels with you. Cereal stores the mind (the world model, memory, preferences, and tasks) in body-independent form, so a new robot loads it, re-localizes into the same map of your home, and resumes where the last one left off. Switching robots should not mean re-teaching your life.
Why start in the home?
The home is the hardest useful proving ground for embodied intelligence: unstructured, high-variance, and safety-sensitive. If a mind is useful here, it transfers anywhere. And the home is not a stepping stone: the home is the business.
Is Cereal safe?
Cereal starts with human-in-the-loop control and clear safety boundaries. It is useful before fully autonomous, and earns autonomy over time.
Can Cereal see through my home cameras?
No one sees through them by default. Perception sources are grants the household makes room by room and can revoke at any time, every access lands in the attested audit trail, and what the grants buy you is a home you can ask: where are my keys, did mom take her medication, who came to the door.
Does Cereal build humanoid robots?
We make the robot; we do not manufacture the body. The Cereal a family buys is an integrated platform built on maturing OEM hardware, deployed and supported under our brand, running Cereal's permanent mind. Because the mind is body-agnostic by design, the same home can move from a wheeled helper to a humanoid 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 room with you.
Useful. Present. Trustworthy. Every day.
Jarvis needs a body.
hello@cereal.bot