Who We Are
Embodied AI Data, Built for Real-World Learning
MovraWorks is an embodied AI data company. We design and operate real-world data collection programs for robot learning, vision-language-action models, and Physical AI.
Our work covers egocentric, UMI, teleoperation, human demonstration, and custom multimodal data. We help teams move from a small pilot to a repeatable production workflow with clear specifications, trained operators, quality checks, and documented delivery.
What We Do
We build task-specific datasets for embodied intelligence. A typical program may combine synchronized video, robot or device state, pose, control signals, audio, sensor telemetry, task events, and structured annotations.
How We Work
Every engagement starts with the target model and use case. We define tasks, environments, hardware, schemas, acceptance criteria, and privacy requirements before collection begins, then validate them in a pilot before scaling.
What We Value
We value accurate specifications, traceable quality decisions, secure data handling, and straightforward communication. When a requirement or trade-off is unclear, we surface it early instead of hiding it in the final delivery.
Egocentric Data Collection
UMI & Teleoperation Data
Human & Multimodal Data
Let’s Work Together
Why Teams Work With MovraWorks
Good embodied AI data is not created by volume alone. It comes from clear task design, stable capture systems, consistent execution, and quality criteria that can be checked. We build those controls into the program from the beginning.
Program Design Before Collection
We translate model goals into executable tasks, sensor requirements, operator instructions, sampling plans, and acceptance criteria before production starts.
Data Quality You Can Inspect
Automated validation and trained reviewers check synchronization, completeness, visibility, task execution, annotations, and other project-specific requirements.
Flexible Sensor and Schema Support
We work with standard and custom devices across video, depth, motion, robot state, force, tactile, audio, and metadata, and deliver data in the schema your pipeline requires.
Secure, Accountable Delivery
Projects use controlled access, documented handling procedures, issue tracking, and agreed delivery checks. You can see what passed, what failed, and why.
Our Commitment to You
We treat dataset requirements as engineering requirements. Scope, quality thresholds, exceptions, and delivery formats are documented before production. Progress is reviewed against those decisions, so the final dataset is understandable, auditable, and useful to your team.