Observe The Physical World
Turn Information Into Action
01
Observe
$ prax observe --source=camera-01
Initializing camera feed... Connected
> Analyzing frame [scrap-yard-3]
Detected: truck, material_pile, lifting_equipment
> Weight estimation
Load: ~14.2 tons | Confidence: 87%
$ prax observe --source=mic-07
Audio stream active | Monitoring ambient noise
> Pattern matching
No anomalies detected | Baseline: -42dB
$ prax sync --system=erp
Fetching delivery manifest... Retrieved
> Cross-reference
Material: "Shredded auto scrap, Grade 2"
$ prax query --source=mes
Heat ID: H-20263 | Status: In progress
> Furnace data
EAF-2 | Current: 62kA | Temp: +4°C drift
> Correlation check
Analyzing sensor patterns against historical data...
$ prax ask --contact=megan
SMS sent: 'Did the new scrap shipment arrive?'
> Response received
'Not yet, expecting it in 45 mins'
> Context updated
Delivery ETA logged | Adjusting schedule
PRAX AI
How many railcars of shredded are expected to arrive today?
One just arrived, three more expected today
Delivery status has been updated in the system.
02
Understand
PRAX AI
Analyze
03
Decide
Agentic Intelligence
Optimization Systems
Industrial Expertise
Optimized scrap recipe. $2.31/ton savings. Sent to shift supervisor for approval.
04
Act
Software Systems
Operators
Industrial Controls
Robots
05
Learn
Self-Learning
Replaying ops from 07/07/26
Constructing scenarios, analyzing performance
04/14
Optimization detected↳
Heat H-20259
Proposing runtime changes:
Yield improved after speed adjustment
Scheduling future analysis
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