Business & Markets

MOVIN Raises $7.5M to Expand Human-Motion Data for Robot Learning

MOVIN raised approximately $7.5 million to expand LiDAR-based motion capture, including robot-learning applications and a planned South Korean R&D centre.

By Laura Bennett | Edited by Daniel Krauss Published:
MOVIN Raises $7.5M to Expand Human-Motion Data for Robot Learning
MOVIN is expanding motion-capture technology that records human demonstrations for robot development. Photo: MOVIN

Key Notes

  • MOVIN raised approximately $7.5 million in Series A financing led by IMM Investment, bringing cumulative funding above $10 million.
  • The company’s LiDAR and vision systems capture markerless human movement for live robot teleoperation and recorded learning datasets.
  • Expansion plans include a South Korean R&D centre, while reported product sales and revenue span entertainment and other markets as well as robotics.

South Korean motion-capture company MOVIN has raised approximately $7.5 million in Series A financing to expand its international business and develop motion-data technology for applications including robot learning. The November 3 announcement puts its cumulative funding above $10 million.

IMM Investment led the round, joined by IBK Industrial Bank of Korea and Voyager Ventures, with follow-on investment from Atinum Investment, NAVER D2SF and Schmidt. The funding announcement also outlines a planned South Korean R&D centre of more than 3,500 square feet.

Capturing the Movements Robots Need to Learn

MOVIN combines LiDAR, camera vision and on-device AI to turn a person’s movement into real-time 3D data without marker suits. In robotics, that can serve two different jobs: streaming an operator’s movements to a machine, or recording demonstrations for later training.

The robotics product page separates those workflows. Its fixed teleoperation setup tracks full-body movement, while a lighter capture configuration is intended to collect data where tasks occur. Both provide information about movement; neither should be mistaken for proof that a robot has learned the task autonomously.

From Human Motion to Robot Control

Transferring a demonstration requires more than copying a person’s pose. The target robot may have different joint limits, proportions, balance requirements and grippers. A training pipeline has to translate the recorded motion into actions that its hardware can execute.

MOVIN markets integration with robotics tools including Isaac Sim, MuJoCo and ROS. The practical value depends on how well the captured data fits the downstream controller and training process, as well as how reliably it records difficult movements in the intended setting.

A Commercial Base Beyond Robotics

The company reports approximately $750,000 in revenue within a year of its flagship product launch and more than 200 units sold across over 20 countries. Its products also serve entertainment and live production, so those figures should not be read as revenue or installations exclusively from robot developers.

MOVIN says its technology has been used by Boston Dynamics and the RAI Institute for teleoperation and training. These are company-reported uses, without contract values or a detailed split of robotics sales. The new funding supports broader expansion rather than a disclosed purchase order for a specific robot fleet.

One Part of the Robot-Data Infrastructure

Our CMU Pixel report shows why aligning a teaching interface with the machine matters. Apple’s HALO research explores another route, generating much of its training material in simulation.

MOVIN is investing in the real-world capture side of that data problem. The planned centre and multimodal research could expand the available material, but better robot behaviour must ultimately be measured on the robot itself, through transfer quality, task performance and repeatable operation.

Disclaimer: RobotsBeat is an independent media brand owned and operated by NuvexMedia LLC, publishing news, research, and insights on artificial intelligence, emerging technologies, automation, and related industries. NuvexMedia LLC invests in and collaborates with companies across the AI, Robotics, technology, software, and digital innovation sectors. These relationships do not influence RobotsBeat's editorial coverage, and the publication maintains full editorial independence to provide accurate, timely, and objective information. © 2026 NuvexMedia LLC. All rights reserved. This content is for informational purposes only and should not be considered legal, tax, investment, financial, or other professional advice.

Artificial Intelligence (AI), Business & Markets, News, Robots & Robotics