Time studies are snapshots
A stopwatch and a clipboard capture one station, one operator, one shift. Every other cycle goes unmeasured.
Find the minutes
your line is losing.
Invisible AI puts cameras over every manual station and captures every cycle, on every shift. Your engineers see where time, quality and safety slip while the shift is still running, not weeks later in a time study.
14North American
plants
Toyota Motor North America chose Invisible AI
for its 14 North American plants.
Trusted by leading automakers
See every cycle in 90 seconds.
What a time study misses, what it costs, and what changes when every station is on camera.
Request a demoYour line runs every cycle. A time study sees a few.
Industrial engineers spend their days collecting data instead of improving the line. Whatever nobody sampled, nobody sees, until it shows up as a missed target, an escape or an injury.
Drift hides between studies
Cycle times creep. A station falls behind. A fix that worked on first shift stops sticking on second. It surfaces weeks later as lost throughput.
Root cause means walking the line
When a defect or slowdown hits, someone walks station to station asking what happened. Hours go into finding the problem before anyone fixes it.
Ergonomic risk shows up as injuries
The stations that wear people down are usually found after someone gets hurt, not before.
Cameras on the line. Answers for your team.
What used to take a clipboard and a stopwatch now happens on every cycle, automatically.
-
Capture
Lightweight cameras watch every station on every cycle. No wearables, no change for operators, no cloud connection.
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Structure
AI turns manual assembly into cycle-level data: cycle time, each step, motion, and the VIN or serial number of the unit being built.
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Act
The system pushes what to fix next to engineers and team leads: cycle-time variation, process drift, a station falling behind. Each insight links to the video of that exact cycle.
One system. Every team on the floor gets what it needs.
For industrial engineers
Continuous improvement
Replace manual time studies with always-on cycle data. Validate a change across every shift and operator, with statistical confidence.
Continuous improvement
For team leads
Production management
A live pulse on every line, with alerts when cycle times drift, throughput drops or a station falls behind.
Production management
For quality engineers
Quality
Catch process deviations at the station, before they become escapes. Type a serial number and watch the exact cycle at every station.
Quality
For safety and ergonomics teams
Safety and ergonomics
High-risk stations flagged automatically, so you fix them before injuries happen, not after.
Safety and ergonomicsProven on some of the busiest lines in North America.
$34M
Nissan's Canton, Mississippi plant credits the cameras with about $34 million in safety and health savings.
Nissan brought the system in for training and efficiency. The ergonomic findings came after. Nissan says the point is not cutting jobs but fixing the stations that wear people down.
Nissan's estimate, reported by Business Insider, August 2026
14 plants
Toyota Motor North America chose Invisible AI for its 14 North American manufacturing operations.
The rollout started at Toyota Indiana with 500 edge AI devices, to help Toyota understand manual assembly at scale.
Invisible AI and Toyota announcement, May 2022
- 100%
- of cycles captured
- 10x
- faster than manual time studies
- 24/7
- visibility on every line
“We expect 3-5x ROI on each device in efficiency gains alone. Every minute of downtime we prevent saves us $1k, and every workstation we can remove saves us $200k per year.”
“I used to spend 3-4 hours a day root-causing all the problems on the line, walking to every station and talking to people. It took forever. Now, I just type in the serial number and find the root-cause in minutes.”
“We went from sampling a handful of cycles on a good day to having structured data on every single cycle. It completely changed how fast we can find issues and act on them.”
Proven in automotive and aerospace. Now expanding.
Anywhere people assemble complex products by hand, the same problem exists: nobody sees every cycle.
Automotive
OEMs and suppliers, on manual assembly lines across North America.
TodayAerospace
High-mix builds where variation from shift to shift is hard to see.
TodayElectronics manufacturing
The same platform, brought to electronics assembly lines.
ExpandingData center infrastructure
The same platform, brought to the plants building data center equipment.
ExpandingRuns inside your plant, on your network.
Built for plants with strict IT and security rules.
Entirely on-premise
No cloud and no extra bandwidth. Feedback stays real time because data never leaves the plant.
Engineers on site
Invisible AI's Vision System Engineers work on the floor with your team until your engineers run it with confidence.
Scales across the plant
Deploy hundreds of cameras with minimal added infrastructure.
See what your line does on every cycle.
See how Invisible AI helps automakers raise first-pass yield, OEE and workforce safety.
Request a demo