Workers complete tasks. Your smartwatch sees it. The system knows it. Everything updates in real time. Motion IQ recognizes work through movement, location, and time — no buttons, no barcodes, no manual input.
Motion IQ watches three things simultaneously: how workers move, where they are, and how long they work. From these three signals, it recognizes when a task is complete.
Smartwatch sensors detect every motion — how fast, in what direction, with what intensity. Picking up a box looks different from writing. The system learns thousands of motion patterns.
Data Stream 01Zone-based tracking, time of day, and work schedule give motions context. The same pattern means different things in different places — lifting in a warehouse differs from lifting in an office.
Data Stream 02How long an activity lasts and how often it repeats distinguishes a momentary action from a completed task. The system understands when work starts and when it's actually finished.
Data Stream 03Four stages turn raw sensor data into a confirmed, reported task — automatically, without a single tap.
Raw sensor data becomes recognizable features — the "signature" of a task.
The AI compares the current motion pattern against all learned task signatures and scores how confident it is.
If location, time, and worker schedule match, confidence goes up. If they don't match, confidence is recalculated.
When confidence is high enough and lasts long enough, the task completes and reports to your operations instantly.
Motion IQ recognizes work by watching what workers actually do — and it keeps getting better with every shift.
Unlike systems that require buttons, barcodes, or manual entry, Motion IQ recognizes work by watching what workers actually do.
Unlike simple step counters, Motion IQ understands context — the same motion means different things in different situations.
Each task completion teaches the model. New variations are learned, worker patterns are understood, and accuracy compounds over time.
Motion IQ is not designed to monitor or score individual performance. It does not track breaks, personal behavior, or movement outside of work contexts. The system focuses entirely on eliminating manual work and improving operational flow.
Operational efficiency, not control. Managers learn whether a task is done, what's next, and how long it took — but never how hard someone worked or who is slowest. That's the difference between operational transparency and employee surveillance, and it's why workers adopt Motion IQ faster: it helps them, it doesn't watch them.
Motion IQ comes pre-trained to recognize hundreds of common work activities across industries. But every business has unique tasks and motion patterns. Motion IQ Studio lets your organization teach the AI to recognize your custom tasks with high accuracy.
A worker wears a smartwatch running the Motion IQ app on their active wrist. Simultaneously, a supervisor records the worker with the Motion IQ mobile app — capturing precise motion telemetry and visual context of the same work session.
When the session ends, the system synchronizes the smartwatch motion data with the video recording. Timestamps and motion signatures align both streams into one unified record, uploaded to the Motion IQ cloud.
Your team reviews the synchronized video and motion data in the web app and labels active work segments with your own task names — explicitly skipping breaks and idle time. Once labeled, the segment locks: this motion signature = this task.
Video-and-sensor fusion makes custom training accurate, private, and effortless to scale.
Video and sensor fusion gives the AI perfect training context. Workers never label anything — supervisors do it asynchronously, off the clock.
You define what tasks matter to your business. Motion IQ learns your taxonomy, not a generic one.
Video is used only for AI training, never for monitoring. Once the model is trained, videos can be deleted — only the motion model is retained.
One labeled session improves recognition for all workers doing similar tasks. The more variety you label, the more robust the system becomes.
Eliminate manual task logging, reduce admin time by 70%, and get real-time visibility across your operations — without disrupting your teams. Experience AI-powered task management built for real work, not desks.