MOVE
The markerless motion capture company.
Est 2019
Published Jun 25, 2026
Markerless mocap accuracy tends to degrade with:
A targeted search for MOVE on Hacker News did not surface substantial relevant threads in the accessible search results during this session.
MOVE publishes customer stories and workflow-focused content on its blog. These items are useful for understanding how customers use the product and for seeing selected successful examples.
Critical caveat: These are vendor-published and typically present selected successful examples; they rarely disclose full methodology, failure rates, or the time required for cleanup and retargeting.
MOVE has shared comparative material that references optical systems commonly used in industry. Without published methodology (capture setup parity, actor types, motions tested, quantitative error metrics, and cleanup time), these comparisons should be treated as vendor claims rather than independent validation.
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Download full report →MOVE has a limited volume of mainstream SaaS-style reviews.
Interpretation: The available positive feedback notes time savings, while the critical feedback highlights operational friction related to setup and device connectivity.
Community discussions show a mix of positive and critical comments.
Common positive themes:
Common critical themes:
MOVE (Move AI Limited) provides markerless motion capture (mocap) that converts video of human movement into 3D motion/animation data. The primary objective is to reduce reliance on traditional mocap hardware (marker-based optical stages or inertial suits) by using computer vision and machine learning to infer motion from camera footage, then export motion data for use in animation, VFX, and game engines.
MOVE currently markets multiple product offerings (as described in its privacy policy): Move One (single iPhone workflow), Move Multi-Cam, Move Pro for Desktop (cloud and local processing variants), Move Live, plus Move API and a developer portal.
MOVE positions the product for studio workflows and for teams seeking more accessible markerless mocap compared with traditional systems. Target segments include:
A central positioning theme is cost and accessibility relative to traditional optical or inertial systems while aiming to provide outputs suitable for production use.