Automate time and motion studies
Don't waste precious time on manual annotation. Let our AI do it for you.
Get a full timeline of events
Automatically capture and analyze every step of your manufacturing process. Our AI breaks down complex operations into detailed timelines with precise measurements and actionable insights.
- Detailed step-by-step breakdown of operations
- Precise timing for each manufacturing element
- Visual analysis with color-coded action types
- Easily edit any part of the analysis and have all the roll ups and groupings update automatically
The Problem
Time and motion studies matter, but are rare
Manual effort makes them slow and disruptive. Infrequent runs miss hidden waste.
Manual and disruptive
Stopwatches and shadowing slow teams and change behavior.
Too infrequent
Quarterly studies miss drift and accumulating waste.
Shallow samples
Small samples overlook walking, waiting, rework, micro‑stoppages.
Our Solution
Automated time and motion studies
Run continuously without clipboards or disruption. Focus on ergonomics, safety, capacity, and CI.
Auto segmentation
Setup, value add, inspection, waiting, walking, rework.
Cycle time analytics
Per step by shift, operator, variant.
Standard work
Sequence conformance with evidence clips.
Ergonomics
Posture and reach flags for reviews.
Evidence
Shareable clips with timestamps.
Exports and privacy
CSV and JSON. Redaction and retention.
Get Answers
Frequently Asked Questions
What problem do you actually solve?
We automate coding time and motion studies by injesting video and generating step-level labels and evidence clips. This reveals hidden capacity (micro-stops, walk/wait), standard-work drift, and ergonomic risks as well as provides hard data for future planning.
Why do time and motion studies matter?
Most losses hide in method and flow. Micro-stops/slow-speed alone often cost 9–15% OEE. Step-level analysis of walk, wait, rework, and standard-work drift unlocks capacity and lowers MSD risk with video evidence to sustain gains.
How much engineer time does manual labeling take and what does automation save?
Manual behavioral video coding often runs ~10× real time (e.g., 10.8 h to code 1 h of video) and can be far higher (12 h for 7 min). Published semi-automated methods cut expert time by ~95–97%. We build similar automation into step labeling.
Will cameras or observers change operator behavior?
Manual shadowing can trigger the Hawthorne effect. Fixed, passive cameras reduce that bias.
How is this different from OEE software?
OEE shows what at the asset level; we show why at the step level with video-backed evidence. Typical OEE ~60% vs 85% for world-class.
What metrics come out of the box?
Step-level cycle times; walk, wait and rework rates; micro-stop distributions; standard-work conformance; ergonomics indicators each linked to video evidence.
Does this help safety?
Yes. MSDs are a major source of lost-time injuries. Evidence clips make ergonomic risks visible for targeted fixes.
Can you use our coding scheme (not just MODAPTS)?
Yes. We natively support MODAPTS but can also use any custom codes. We map labels and thresholds to your taxonomy and export in your format.
How do we get started?
Try our live demo and then schedule a demo with our team.
How do you handle privacy and security?
We operate within your IT policies. Configurable retention, redaction, role-based access, and export controls via CSV or API.