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

MITHarvardTsinghuaOxfordColumbiaImperialBrownDukeCMUUC

Founder

Founder built for real-world robotics.

Lambert has been building and competing in robotics since 2008, developing physical machines that reason about the world. He combines deep technical intuition for real robots with systems-level AI training and hardware manufacturing access.

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

Entrepreneurial family / deep hardware supply-chain network

Technical leadership

Core technical leadership.

Multimodal models, world models, embodied reasoning, and real physical environments.

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.

Engineering bench

Built across the full robotics stack.

CyberBrain's extended team covers embedded systems, LLM safety, 3D vision, dexterous manipulation, robotics AI, multimodal LLMs, and computer engineering.

Andrew Hoang - Founding engineer · Embedded systems

Tim - Columbia · OSU PhD · LLM safety

Rio - Brown · UCSD PhD · 3D vision & dexterous manipulation

Nan - Tsinghua PhD · Robotics & AI

Tina - Duke · MIT researcher · Multimodal LLM

Victor Xiao - M.S. CE · Embedded engineering

Why this team

The rare combination CyberBrain needs.

CyberBrain sits at the intersection of frontier AI and physical machines.

Real robotics intuition

Robots fail in the physical world for reasons that do not appear in software benchmarks. CyberBrain is led by people who have built and competed with real machines for years.

Multimodal AI depth

The system depends on language, vision, audio, spatial reasoning, and world models working together - exactly the kind of AI expertise represented across the team.

Embedded and hardware execution

CyberBrain is not only a model. It must run through sensors, controllers, actuators, and deployable hardware. The team includes embedded and hardware systems experience.

Research credibility + product urgency

The team combines top-lab research credibility with the urgency to ship a developer platform and real robot product.

Connected to the world's leading AI and robotics ecosystems.

MITHarvardTsinghuaOxfordColumbiaImperialBrownDukeCMUUC

30+ top-venue papers across AI, robotics, multimodal learning, vision, and embodied intelligence.

Building the brain for every robot.

CyberBrain is built by a team that understands both frontier AI and physical machines - the two halves needed to make general-purpose robots real.

[email protected]