K-Bot
General-purpose (4') humanoid
From $8,999 USD $15,999 USD
Open-source humanoid robots, built for developers
We're accelerating the timeline to a world with billions of robots, and making sure they're accessible, auditable, and beneficial to humanity.
Join the RL training challengeProducts
General-purpose humanoid robots for developers, hobbyists, and researchers
Z-Bot
Mini end-to-end (1.5') humanoid
From $999 USD
$1,999 USD
M-Bot
Compact humanoid (2.5') for home
From $2,999 USD
$3,999 USD
We're building a robotics stack that lets you deploy physical AI in the real world
Our software, hardware, and machine learning stack is seemlessly integrated, allowing you to focus on building applications instead of installing packages.
Owning every layer—from metal to model—lets us move faster, integrate more deeply, and open-source each breakthrough for the whole world to build on.
Demos
Experience our humanoid robots in action
Application layer
Create, deploy, and share robot apps, tools, and policies—built by you and the community.
Robot Apps Store
A single hub to install apps, customize behaviours, train new skills, and teleoperate your robot.
Coming soon
K-Lang
Control your robot with a neural interpretation domain-specific language (DSL).
ML layer
Open-source library for GPU-accelerated robot learning and zero-shot sim-to-real transfer
K-Sim
High-performance reinforcement learning framework optimized for training humanoid robot locomotion, manipulation, and real-world deployment.
High versatility for tasks such as walking, dancing, household organization, and even cooking.
Coming soon
K-VLA
A generalist policy using large-scale robot data with novel network architecture to enable the most capable and dexterous robot
Locally run and capable of integrating with other VLAs such as Pi0.5 and Gr00t.
OS layer
Rust-based OS to run policies on the real robot, or evaluate in simulation
K-OS
Rust-based, fast, and reliable robot operating system combining hardware, software, and firmware.
Ships with an easy-to-use Python SDK to easily develop robot applications.
K-OS Sim
A digital twin / model evaluator for the K-Scale Operating System (K-OS) using the same gRPC interface as our real robot
Effortlessly test and refine your models in simulation
Hardware layer
Deploy policies, VLA models and applications on robot hardware in real-time
Coming soon
M-Bot
K-Sim
A lightweight, modular framework for developing reinforcement learning policies in simulation and subsequently deploying on physical robots
Made for speed
Train policies in under an hour. Leveraging GPU accelerated libraries like JAX and Mujoco XLA, K-Sim can process over 100,000 samples per second (including training) on an RTX 4090.
Smooth troubleshooting
Quickly pinpoint the root cause of training regressions or improvements. All of the code defining experiment lives neatly in a single file which is automatically logged to TensorBoard.
Optimized for sim-to-real
A trained policy is immediately ready to be exported and deployed on a real robot, saving countless hours otherwise spent on maintaining two sets of infrastructure for training and deployment.
Extensible by design
K-Sim can be easily modified to fit your use-case, instead of the other way around. All of the code is fully open source so you can build on top of it with confidence.
| K-Sim | Issac | Brax | Gazebo | |
|---|---|---|---|---|
| Differentiable physics | ||||
| GPU-accelerated | ||||
| TPU-accelerated | ||||
| Cross-platform | ||||
| Single-file training scripts | ||||
| Officially supported hardware | ||||
| Motion capture priors | ||||
| Stateful (RNNs, Transformers) |
K-Sim lets you iterate quickly and trust the code that you deploy on your hardware.
Check out the source on Github or browse our docs
Start training robotsOur achievements
We've completed 6 generations of robots in less than a year
•K-Bot V2
Our latest humanoid robot, designed and built for developers. Strong, modular and capable of everything from chores to industrial applications
•Z-Bot V2
Mass-manufacturable, robust tabletop humanoid robot. Used in Stanford’s reinforcement learning class (CS 234) to teach about PPO.
•K-Bot V1
Our initial full-sized complete aluminum prototype. Built as a lightweight, customizable, and developer-friendly test bench for our ML stack. Optimized for sim-to-real focus.
•Z-Bot V1
Open-source 3D printed small-scale humanoid robot with BOM < 350. Optimized for portability and affordability. Leveraged as learning tool at universities for teaching robotics and RL.
•Stompy Mini
Enhanced version of Stompy with a smaller form factor, new actuators, upgraded battery, and wiring harness. Optimized for simulation training.
•Stompy
Our first 3D printed robot was built in 2 months with 4 3D printers. Optimized for cuteness.
“The open-source robotics startup that caught OpenAI's eye”Read the article
Community
Collaborate, learn, and innovate with us
Get rapid-fire development support through our Discord—home to 2000+ active members who have collaborated on 6 humanoid robots and counting.
About us
We're engineers, hackers, and researchers that believe in a world where robots are made for everyone.
Shoot us an email at for any business inquiries or if you want to connect with us!
Our supporters
Backed by world-class investors