tlxperience
Platform Request Access
Platform

Universal Teleoperation Marketplace

Anyone. Any robot. Anywhere in the world.

tlxperience connects global teleoperators to real and synthetic robots through a standard low-latency interface, while converting every session into structured robot-skill data for physical AI.

Platform

A hardware-agnostic teleoperation layer for physical AI.

Control robots through a standard low-latency web interface across hardware, simulation, and real-world environments. Every session can be mirrored in a digital twin and transformed into reusable robot-skill data.

Hardware-Agnostic Teleoperation

A standard low-latency interface for controlling different robots across hardware, simulation, and real-world environments.

Digital Twin Mirroring

Each teleoperation session can be mirrored in a digital twin, replayed, and used to validate robot behavior before deployment.

Structured Robot-Skill Data

Human actions become normalized datasets for labeling, augmentation, robot learning, and marketplace licensing.

Global Remote Workforce

People can earn remotely by operating robots in simulation or reality while helping companies generate valuable interaction data.

Data

Human control becomes the data engine for robot autonomy.

Teleoperation sessions generate normalized data for replay, quality checks, annotation, augmentation, robot learning, and marketplace licensing. Public datasets can be traded while private datasets stay client-exclusive.

Working demos

Remote teleoperation across robots, inputs, and devices.

tlxperience already demonstrates remote robot control, cross-robot compatibility, multi-input operation, and real-time streaming across user devices.

The same interface is being built to support real robots, synthetic environments, VR headsets, game controllers, keyboard control, and the data pipelines needed for physical AI.

Remote robot control

Low-latency teleoperation with live video and command streaming across regions.

Synthetic environment control

Teleoperation workflows tested in simulation before real-world deployment.

Multi-input control

VR, game controllers, and keyboard input for different operator setups.

Robot-skill data capture

Each session can become structured data for replay, labeling, and learning.

Connect your robot Scroll sideways to compare teleoperation demos

Operators

Join the remote teleoperation workforce.

tlxperience is building an accessible path for people to operate robots remotely in simulation and real-world environments. Early participants will help validate the interface, support pilot tasks, and generate useful robot-skill data.

  • Operate from your own computer
  • No degree or robotics background required for early tests
  • Help test real-time robot control and simulation workflows
  • Generate structured data for physical AI
  • Earn money during paid pilot sessions when available
Join as a teleoperator

Platform thesis

Why tlxperience exists.

Contact
Article Preview

Platform challenge

The Physical AI Data Problem

Robotics foundation models need millions of hours of interaction data, but today that data is scarce, expensive, and trapped inside fragmented teleoperation systems.
Article Preview

Workforce layer

Teleoperation as a Global Workforce Layer

Remote operators can support robot tasks across countries, time zones, and environments while creating inclusive work opportunities for people who need flexible access.
Article Preview

Data pipeline

From Human Control to Robot-Skill Datasets

Each teleoperation session can be mirrored, normalized, replayed, annotated, and licensed as data that helps train robot autonomy.