01
Detect
Identify grasping, repetition, and customer-trained motion patterns.
Context retrieval for physical work
Turn motion into process understanding
Motion AI recognizes patterns in human movement, connects them with formal work steps, and creates usable execution context without frame-by-frame manual annotation.
More than recognition
Understand what happened—and what it meant
Motion becomes valuable when it is connected to the task, the object, and the documented process.
02
Align
Connect observed actions with a checklist or formal process document.
03
Enrich
Add spoken expert descriptions, visual context, and object handling.
04
Structure
Create reviewable work steps and execution records.
The Motion AI workspace
Manage processes, models, and captured sessions
The platform connects devices, sets up processes, maps AI models, and receives raw and annotated motion data—the operational layer between capture hardware and customer workflows.
DevicesConnect gloves and supporting capture hardware.
ProcessesDefine steps, review sessions, and link documentation.
ModelsTrain and deploy focused recognition models.
How it works
From capture to deployment
Capture
Collect motion from Mimetik gloves and optional body, camera, or external systems.
Interpret
Models identify action patterns while process documents supply task semantics.
Review
Teams correct detected steps and add missing context in the platform.
Deploy
Use the model for assistance, documentation, analysis, or dataset preparation.
Reduce annotation effort
Retrieve work context while the data is created
In Mimetik pilots, motion recognition automatically translated about 60% of hand motion into work steps. Alignment with formal documentation completed the process context.
This is pilot evidence, not a universal performance guarantee. Results depend on the process, model, sensors, and quality of the available documentation.
Operational outcomes
One motion layer, multiple uses
Worker assistance
Recognize the current step and surface concise, relevant guidance.
Process intelligence
Document actual execution, variation, and potential bottlenecks.
Training data
Build structured action context for selected humanoid-training datasets.
Give motion meaning
Show us one representative workflow
We will outline the smallest useful Motion AI pilot and the context sources it needs.