faster to deploy
Describe the metric, approve a few sample clips, and run it across existing camera feeds
Measurement live12 feeds processing
The application layer for physical operations
Tell Fortune AI what to measure. It analyzes your existing cameras and returns the result every shift with supporting footage attached
Investors and ecosystem
From question to live analysis
Ask once. Get the same result every shift
Fortune AI learns what to count from sample clips your team approves, then runs the analysis on the cameras already in place
- 01DefinePlain-language request
- 02BuildWhat to track
- 03ValidateTeam-approved clips
- 04RunExisting cameras
- 05DeliverReport · API · MCP
First operating output
See where paid time goes
Compare work, waiting, walking, and cleaning time with the output from the same shift
Fortune AI AgentShift review · Line 2
Ready
Illustrative answer
Outbound staging caused the largest delay
Waiting accounted for 1h 46m of paid time during Shift A
- Paid time
- 6h 42m
- Output
- 428 cases
- Productivity
- 64 cases / paid hour
Full scene checked
90%fewer false alerts
Fortune AI follows who is present, what the equipment is doing, and how the activity unfolds before notifying the operator
- 01ScenePeople and forklift present
- 02ActivityPallet being moved
- 03SequenceNormal loading activity
Warehouse
Warehouse and dock flow
Optimize forklift utilization, reduce staging congestion, and slash dock dwell time
Manufacturing
Manufacturing process flow
Detect line cycle delays, accelerate bottleneck recovery, and capture repeat exceptions instantly
Airport terminals
Queue flow
Queue growth, lane response, and passenger wait time
Start with your operation