The application layer for physical operations

Turn existing camera feeds and recorded video into decision-ready operating numbers

Request a demo How it works

Investors and ecosystem

How Fortune AI works

Describe the measure Deploy the analysis Use the number every shift

First use case

See where paid time goes

Compare working, waiting, walking, and cleaning time with the output from the same shift

Output: Units, orders, pounds, or cases
Paid time: Work, wait, walk, and clean
Productivity: Output per paid hour

Operational advantage

Deploy faster. Act on cleaner signals

10×

faster to deploy

Describe the measure once. Fortune AI generates the logic and deploys it across existing camera feeds

Ask once. The measure goes live

You askMeasure weekly forklift flow

01GenerateMovement · Load state · Camera handoff
02Deploy12 existing camera feeds
03StreamMatched events start arriving

Loading sequenceDock 3 · 10:42–10:47

10:42Forklift arrives
10:44Load picked up
10:47Forklift departs

Sequence confirmedNormal loadingNo alert sent

90%

fewer false alerts

Fortune AI follows the full action sequence before deciding whether an alert is real

Where to start

Start with repeated work and a result you already count

View all industries

AI warehouse forklift tracking and outbound dock flow analytics

Warehouse

Warehouse and dock flow

Optimize forklift utilization, reduce staging congestion, and slash dock dwell time

AI manufacturing line cycle and process flow analytics

Manufacturing

Manufacturing process flow

Detect line cycle delays, accelerate bottleneck recovery, and capture repeat exceptions instantly

AI airport passenger queue and lane utilization analytics

Airport terminals

Queue flow

Queue growth, lane response, and passenger wait time

Founder story

Why Fortune AI exists

Andrew Chen, founder and CEO of Fortune AI

Andrew ChenFounder & CEO

Start with your operation

See what Fortune AI can measure on your existing cameras

Request a demo