Our Remote Robot Control Platform is Live! 🚀

Our Remote Robot Control Platform is Live! 🚀

High-Quality, Diverse
Robotics Data. At Scale.

High-Quality, Diverse
Robotics Data.
At Scale.

Enabling robotics companies to scale high-quality data collection effortlessly.

Trusted by
Trusted by
Trusted by

Remember watching sci-fi movies and thinking we'd have intelligent robots living with us by now?

Yeah, us too.

But we found out that the real world is far more complex than the internet — it's messy, heavy, and full of friction.

You simply can't teach balance from text or
grip from images alone.

You simply can't teach balance from text or
grip from images alone.

At OpenGraph

we are here to tackle this challenge.

At OpenGraph

— by giving robots the data they actually need to learn the physical world.

We build large-scale data engines that connect physical robots sensing the real world, and people guiding them remotely through teleoperation and feedback.

Every motion, touch, and correction becomes part of a growing dataset that helps robots adapt, reason, and act safely in our world.

We help robots learn to live with us.

we are here to tackle this challenge — by giving robots the data they actually need to learn the physical world.

Our dual-approach to data collection:

With Robot Data (On-site Collection)

Collected from real robots from our Physical AI Training Center, performing diverse tasks — sensing force, vision, and touch.

This is how robots feel the world.

With Robot Data (On-site Collection)

Collected from real robots from our Physical AI Training Center, performing diverse tasks — sensing force, vision, and touch.

This is how robots feel the world.

With Robot Data
(On-site Collection)

Collected from real robots from our Physical AI Training Center, performing diverse tasks — sensing force, vision, and touch.

This is how robots feel the world.

Robotless Data (Remote Collection)

Collected from people guiding robots remotely through interaction.

This is how robots learn from us.

Robotless Data (Remote Collection)

Collected from people guiding robots remotely through interaction.

This is how robots learn from us.

Robotless Data (Remote Collection)

Collected from people guiding robots remotely through interaction.

This is how robots learn from us.

The Data Engine for Physical AI

Embodied AI Need More

Action Tokens


We focus on collecting the three critical types of data you need to build, train, and validate your models.

01

Robot Action Data

High-quality tele-operated demonstrations from our AI training center in Korea, equipped with open-source robots.

02

Dexterous Data

Remote, human-led manipulation through our teleop platform — enabling distributed, precise, and dexterous demonstrations for imitation learning.

03

Human-in-the-Loop Evals

Rich, multi-modal feedback (voice, pointing, text) and live human evaluations to train truly collaborative robots.

NEW YORK,USA

BOGOTA, COLOMBIA

WARSAW,PL

NEW YORK,USA

BOGOTA, COLOMBIA

WARSAW,PL

NEW YORK,USA

BOGOTA, COLOMBIA

WARSAW,PL

robotless data collection

Meet our
Remote Robot Control
Platform

Our browser-based platform is a massive testbed for robot-human collaboration.

Our browser-based platform is a massive testbed for robot-human collaboration, designed to train our workforce and generate the complex interaction data.

🕹️ Robot Simulation

Human-in-the-loop Evals

[coming soon]

Dexterous Manipulation

[coming soon]

🕹️ Robot Simulation

Human-in-the-loop Evals

[coming soon]

Dexterous Manipulation

[coming soon]

Powered by

On-site data factory built by us

Explore all fleets

Explore all fleets

Explore all fleets

Our Fleets Live Here.
Physically On-site.


We built our first on-site data factory (aka. a Physical AI Training Center) serves as a centralized hub for producing high-quality, multi-modal data


Our centralized hub for producing high-quality, multi-modal data


Embodiment Portfolio

We’re equipped with three leading open-source robots that are widely adopted across both industry and academia: SO101 Arms, OpenArms, and Orca Hand.

Based in Korea

Robots are hardware, and growth requires supply chain mastery. We built our first on-site data factory (aka. a Physical AI Training Center) in South Korea to ensure reliability, scalability, and seamless data operations.

Diverse Environments Setup

Our training environments are designed to simulate diverse real-world scenarios, enabling robots to learn from a variety of conditions — from structured lab settings to dynamic, everyday environments.

How the Data Flow

Robot Data API

All data episodes are logged and stored under a unified (LeRobot) schema in our repository. This data is made accessible via our Data API, ready to be used for foundational model training and fine-tuning.

[Coming Soon]

we exist for robotics companies

Tell us your challenge in data collection. We’re here to help.

What's next?

  • Submit your robot details

    Connect your robot model, control interface, and sensor configuration.

  • Submit your robot details

    Connect your robot model, control interface, and sensor configuration.

  • Define the tasks you want

    Specify the manipulation, perception, or evaluation goals you need.

  • Define the tasks you want

    Specify the manipulation, perception, or evaluation goals you need.

  • Connect to our teleoperation network

    Gain instant access to verified human teleoperators.

  • Connect to our teleoperation network

    Gain instant access to verified human teleoperators.

  • Bespoke Data Collection

    Receive curated, multi-modal datasets, tailored to your robot and use case.

  • Bespoke Data Collection

    Receive curated, multi-modal datasets, tailored to your robot and use case.