INDUSTRIAL AI · AI FOR PHYSICAL WORK
Vergo uses computer vision to turn workplace video into measurable insights on physical demand and work efficiency—helping teams spot patterns, test practical changes and compare results.
EXAMPLE MULTI-CYCLE TASK REVIEW
Physical Demand
26 / 32
example task cycles with extended reaching
Work Efficiency
23%
example cycle time spent retrieving materials
Repeated material retrieval coincides with extended reaching and time spent away from the main transfer step.
Illustrative scenario and figures, not customer results.
TWO CONNECTED LENSES
Physical Demand shows how often demanding movements occur and how long they last. Work Efficiency shows how task time is spent. Together, they help reveal where work can be improved.
Go beyond an isolated posture. See recurring movements, how frequently they appear and the duration of observed exposure.
Repetitive material handling · exampleREACHING ACROSS TASK CYCLES
Illustrative task data
10 / 12
observed cycles with extended reaching
47 s
cumulative reach duration in the example
Recurring reach events by task cycle
A pattern across repeated cycles is more informative than a single still frame.
Understand the sequence of work, where time is spent and which actions recur across task cycles—without rating individual workers.
Food production · different exampleTASK CYCLE BREAKDOWN
Illustrative task data
Example share of observed task time by step
See where the task spends time before deciding which changes are worth testing.
Identify patterns affecting both physical demand and task timing. Then test a change and compare the results—not just generate another assessment.
Make a change. Record the task again. Compare what changed.
Understand the task, Physical Demand and Work Efficiency.
Decide what practical change to test.
Record the task again and compare what changed.
See how physical work is being performed.
Review frequency, duration and exposure.
Understand task steps, timing and repeating cycles.
Record again and compare what changed.
WHY IT MATTERS
The way a task is designed influences both the physical demands on workers and how efficiently work gets done. Understanding those demands helps organizations identify practical improvements.
PEOPLE AND SAFETY
1 in 4
About 1 in 4 Canadian wage-loss claims were still on compensation at 90 days in 2023.
Approximate. Broader workplace injury context, not limited to musculoskeletal injuries.
AWCBC, Canadian Workers’ Compensation System, 2023 Year at a GlanceOPERATIONS AND PRODUCTIVITY
73%
Canada’s business-sector labour productivity was about 73% of the U.S. level in 2019.
Statistics Canada comparison of Canadian and U.S. business-sector productivity levels.
Statistics Canada, The role of firm size in the Canada–U.S. labour productivity gap since 2000 (December 22, 2025)INDUSTRY EXPERIENCE
Vergo has worked with Canadian Manufacturers & Exporters (CME) Nova Scotia to bring AI-powered physical work analysis to participating employers.
Explore our industry experienceBuilding practical AI for safer, more productive physical work.
READY TO SEE VERGO IN ACTION?
Book a demo to see the platform, review a sample assessment and discuss how Vergo can support your safety and operational goals.