faster to deploy
Define the measure once, validate it on representative footage, and deploy it across existing camera feeds
Measurement live12 feeds processing
The application layer for physical operations
Turn existing camera feeds and recorded video into decision-ready operating numbers
Investors and ecosystem
From question to live measure
One request becomes a measure that keeps running
Fortune AI builds the logic, checks it on footage, and runs it on the cameras already in place
- 01DefinePlain-language request
- 02BuildMeasurement logic
- 03ValidateAgreed footage
- 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
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
Context-aware reasoning
90%fewer false alerts
Fortune AI checks the people, equipment, zone, and action sequence before an alert reaches the operator
- 01ObjectForklift present
- 02ZoneDock 3 matched
- 03SequenceLoad picked up and moved
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