MOVE
The markerless motion capture company.
Est 2019
Published Jun 25, 2026
Demand for markerless mocap has increased as tools mature; independently verified market share for MOVE is not publicly available.
| Starting Price | Published per-second/API pricing available from the vendor; creator-tier pricing also offered | Entry-level free tier and vendor-published subscription tiers with AI-focused features | Significant hardware and setup costs; pricing typically available by quote |
| Best For | Markerless capture from consumer cameras; teams seeking scalable processing via API | Entry-level access for creators; AI-based video-to-motion with retargeting tools | Highest fidelity, repeatability, and studio-grade capture pipelines |
| Key Strength | Documented API pricing model and an approach oriented to markerless capture with consumer devices | Clear entry-level options and an established creator ecosystem | Proven production-standard fidelity and repeatability for demanding shots |
| Key Weakness | Artifact issues (foot slide/clipping), setup/upload friction, and limited public enterprise security posture | AI-based capture can require cleanup; quality varies by motion and occlusion | High capital and operational expense, studio space requirements, specialized operators |
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MOVE vs Rokoko: Rokoko competes on pricing transparency and an integrated ecosystem. MOVE offers an API-based processing model intended for integration and scaling. In community commentary, MOVE is sometimes perceived as outperforming lower-cost AI-only trackers in certain scenarios, but both approaches typically require cleanup for production use.
MOVE vs inertial suits (Xsens/Movella): Inertial systems are less sensitive to occlusion and can be strong for certain real-time pipelines, but they require suits and hardware costs. MOVE does not use suits and therefore inherits camera-based limitations.
MOVE vs optical (Vicon/OptiTrack): Optical systems remain the benchmark for high-fidelity, multi-performer, and repeatable capture. MOVE offers portability and lower setup cost, but may not meet the fidelity and repeatability requirements of the most demanding production use cases.