Real-world instruction
An untrained human gives a natural request in a real environment.
A ROBOTIC BRAIN THAT THINKS LIKE A HUMAN
A robotic brain for real-world human interaction.
CyberBrain is building a robotic brain framework.
CyberBrain is building a reasoning-first robotic brain framework that runs end-to-end on real hardware — enabling robots to understand natural human instructions, reason about context, and act in unscripted real environments.
No teleoperator. No scripted skill set. No task-specific pre-training.
Human instruction
“Natural human instruction”
CyberBrain reasoning
Digital brain
CyberBrain framework
SLAK framework
Asynchronous runtime
Real robot body
Robot action
Physical action
Memory
Experience updates context
THE WORLD WE WANT TO BUILD
Imagine a robot that walks in, listens to you, and helps you the way another person would.
AI agents can research, write, code, and reason — but they live inside a screen. CyberBrain brings that kind of cognitive partner into the physical world.
Company Intro
See CyberBrain in motion.
A short introduction to the reasoning-driven cortex behind our robotics platform.
A CONVERSATION, NOT A SCRIPT
A robot that helps you the way a person would.
An untrained user speaks naturally. The robot understands, looks around, picks up what is needed, and hands it across — with no teleoperator, no task-specific pre-training, and no scripted demo.
Human says
“Take this empty bottle and throw it away.”
Any human language: the robot interprets intent, not keywords.
Real environment: patios, workshops, real objects, real distractions.
Zero task pre-training: the task is seen during the run.
Adaptable interaction: the user can change the task on the fly.
CyberBrain Cortex
instruction becomes embodied reasoning
1
Identify the bottle
2
Understand it is trash
3
Plan a safe grasp
4
Move to the bin
5
Throw it away
6
Update memory
PUBLIC DEMO
A conversation, not a script.
The public demo shows natural language, a real environment, no teleoperator, no task-specific pre-training, and no scripted skill set.
Demo
TASK BREAKDOWN
From request to real-world action.
A natural request in a real environment.
Scene understanding
CyberBrain identifies objects, context, and constraints.
Reasoning
The brain reasons about what the human means and what the body should do.
Physical action
The body moves, grasps, hands over, or assists in the real world.
Memory Update
The system stores context and outcomes to improve future similar tasks.
BRAIN FRAMEWORK
Give an existing digital brain a body.
Reasoning agents already act like skilled humans inside software. CyberBrain engineers the framework that lets that cognitive system understand the physical world and control a robot.
The brain is not just off-the-shelf.
CyberBrain fine-tunes reasoning for spatial prediction, uncertainty, and grounded common sense.
CyberBrain is a brain framework, not just a model.
robotics-tuned reasoning modelSLAK frameworkasynchronous runtime
PLATFORM
One framework. Many bodies. Many tasks.
A single instance of the CyberBrain framework can handle physical tasks and social interactions without per-task training.
Daily tasks become natural-language goals.
The same brain reasons about grasping, handover, object selection, constraints, and communication.
CyberBrain focuses on the missing cognitive layer above motor skills: reasoning, dialogue, adaptation, and orchestration across bodies.
COMPOUNDING CAPABILITY
The robot grows from experience.
Capability grows along two axes: better reasoning models and more real-world experience from completed tasks.
Each completed task can contribute context, outcomes, reasoning traces, and reusable strategies. Over time, CyberBrain builds a broader memory and skill library for similar future tasks.
Today
5–6 years old capability
Next
Teen-grade capability
Later
Adult-grade capability
Completed task
Memory
Reusable strategy
Improved future task
ASYNCHRONOUS CONTROL
The brain thinks while the body moves.
CyberBrain separates high-level reasoning from real-time body control. The body keeps moving smoothly while the brain interprets the scene, plans the next action, and updates memory.
Brain loop
deliberate
Perceive
Reason
Plan
Memory
Body loop
continuous
Sense
Control
Move
Adjust
SLAK architecture
SLAK is the framework.
Sensing, Logic, Action, and Knowledge separate what the system perceives, reasons about, does, and remembers.
CyberBrain
Cortex
S
Multimodal perception
Sensing
L
Robotics-tuned reasoning model
Logic
A
Continuous motion control
Action
K
Context, memory, and skills
Knowledge
When a new frontier reasoning model ships, we can improve Logic. When a new sensor comes online, it plugs into Sensing. The system compounds capability instead of redoing training runs.
TEAM
World-class minds behind CyberBrain.
A 10-person team with deep experience across robotics, multimodal AI, embedded systems, and world models - built to turn robot reasoning into a shipped product.
10
person team
26
average age
Top labs
AI & robotics
30+
top-venue papers
08
L
Founder & CEO
Lambert
Conducting robotic competition since 2008
Build a robot that communicates and interacts with people the way another person would.
PhD EE
4x RoboCup Junior World Champion: 2012, 2013, 2014, 2016
20+ national robotics competition awards
Nearly two decades of real-robot intuition
P
Co-Founder
Parker
M.S. Harvard, MIT Media Lab.
World-leading expert in multi-modality models.
Technical Advisor
Leading professor from MIT
MIT EECS / Media Lab Professor.
Leading professor from Multisensory Intelligence Group.
Robotic / LLM Expert
Academic leading researcher, from Harvard & MIT
MIT & Harvard postdoc. PhD CS, Oxford
World-leading 4D vision & world-model researcher.
Leading engineers & advisors
Andrew Hoang - Founding engineer · Embedded systemsTim - Columbia · OSU PhD · LLM safetyRio - Brown · UCSD PhD · 3D vision & dexterous manipulationNan - Tsinghua PhD · Robotics & AITina - Duke · MIT researcher · Multimodal LLMVictor Xiao - M.S. CE · Embedded engineering
MITHarvardTsinghuaOxfordColumbiaImperialBrownDukeCMUUC
30+ top-venue papers across AI, robotics, multimodal learning, vision, and embodied intelligence.
MANY BODIES
From one brain to every kind of robot.
CyberBrain is designed as a brain framework that can support general-purpose assistants and special-purpose robots across different bodies and environments.
General-purpose robots
Home, retail, hotel, workshop, and everyday human-facing assistance.
Special-purpose robots
Industrial, rescue, underwater, hazardous, and remote environments.
Legged robot bodies
CyberBrain can extend from wheeled platforms to legged robots that move, interact, and assist in real-world spaces.
FAQ
Common questions about the CyberBrain framework.
A concise reference for the robotic brain, SLAK framework, learning loop, and asynchronous runtime.
What is CyberBrain?+
CyberBrain is a reasoning-first robotic brain framework that lets robots understand people, reason about context, and act through physical bodies.
Is CyberBrain a robot hardware company?+
CyberBrain is primarily building the robotic brain framework and platform. Real robots demonstrate that the framework runs end-to-end on hardware.
What does “a conversation, not a script” mean?+
It means the robot can respond to natural human instructions in real environments without a pre-scripted skill sequence for that exact task.
How does CyberBrain learn from experience?+
It stores context, task outcomes, reasoning traces, and useful strategies so future similar tasks can be handled more intelligently.
What is SLAK?+
SLAK is the four-layer framework: Sensing, Logic, Action, and Knowledge.
Why does asynchronous control matter?+
It lets the body continue moving while the brain continues reasoning, making interaction smoother and more responsive.
Contact
Building the cortex layer for the next generation of robots.
For pilots, partnerships, developer kit interest, or early technical conversations, reach out to the CyberBrain team.