← Thursday's Architecture

Try Predictive Maintenance System 🎮

Interactive demo - See equipment failure prediction in action

July 4, 2025
🏭 Manufacturing🎮 Interactive🚀 Production-Feel

From sensor data to scheduled maintenance in minutes. Now try it.

Monday: learned 3 prompts (anomaly detection, failure prediction, alert generation). Tuesday: automated them. Wednesday: saw team workflows (maintenance, production, plant management). Thursday: reviewed architecture. Friday: try the actual system. Upload sensor data, watch AI analyze it, see failure predictions, generate maintenance alerts.

Try Different Scenarios

Or Select Complexity Level

💰 Predictive Maintenance ROI Calculator

Adjust sliders to see potential cost savings and ROI for your manufacturing facility.

100 assets

Number of critical production assets to monitor

$50,000

Average cost of unplanned equipment failure (parts, labor, downtime)

20 failures

Current number of unplanned failures per year

80%

Percentage of failures prevented by predictive maintenance

20%

Planned maintenance cost as % of emergency failure cost

$150,000

Annual cost of predictive maintenance system (software, sensors, labor)

Annual Savings

$175,000

Per year with automation

Payback Period

3.4 mo

Time to recover investment

Before vs After Comparison

Annual Cost (Before)
70% reduction

Before

$250,000

After

$75,000

Time Spent (Before)
70% improvement

Before

5,200 hrs

After

1,560 hrs

Team Productivity
35% improvement

Before

100%

After

135%

Annual Savings
Infinity% improvement

Before

$0

After

$175,000

Time Saved
Infinity% improvement

Before

0 hrs

After

3,640 hrs

ROI Summary

3-Year Savings:$525,000
5-Year Savings:$875,000
ROI (Year 1):350%

These calculations are estimates based on your inputs. Actual results may vary.

🤖 Watch Multi-Agent Predictive Maintenance System

See how autonomous agents collaborate to detect, predict, and prevent equipment failures

Example Scenario
Hydraulic Press #4 bearing failure scenario
1
đŸŽ¯Orchestrator
Route sensor data to Sensor Agent
→ 72 hours of temperature, vibration, pressure data received
2
📡Sensor Agent
Parse and validate sensor readings
→ 12 data points per parameter, all valid, no missing readings
3
đŸŽ¯Orchestrator
Route to Anomaly Detection Agent
→ Data validated, ready for analysis
4
🔍Anomaly Detection Agent
Analyze patterns and identify deviations
→ 3 anomalies detected: Temp +25°F (HIGH), Vibration +100% (HIGH), Pressure -50 PSI (MEDIUM)
5
đŸŽ¯Orchestrator
Route to ML Prediction Agent
→ Anomalies confirmed, predict failure timeline
6
🔮ML Prediction Agent
Calculate time to failure using historical patterns
→ Bearing failure predicted in 30-36 hours (85% confidence). Vibration will fail first.
7
đŸŽ¯Orchestrator
Route to Alert Generation Agent
→ High confidence prediction, generate alerts
8
🚨Alert Generation Agent
Create role-specific notifications
→ 3 alerts generated: Maintenance (URGENT technical), Production (PLANNING schedule), Plant Manager (EXECUTIVE cost)
9
đŸŽ¯Orchestrator
Route to Notification Agent
→ Alerts ready for delivery
10
đŸ“ŦNotification Agent
Deliver alerts via appropriate channels
→ Maintenance: SMS + work order. Production: Email + calendar. Plant Manager: Dashboard + weekly report.
💡
Zero human intervention. Orchestrator made 6 routing decisions autonomously. Each agent specialized: sensor validation, anomaly detection, ML prediction, alert generation, notification delivery. This is multi-agent collaboration preventing $42K in downtime.

🛠ī¸ Build Your Own Manufacturing Workflow

Pick agents from the palette below to build your custom workflow, then simulate execution.

Available Agents (14)

Your Workflow

Add agents above to build your workflow

How to Use This Predictive Maintenance Simulator

  1. 1Select an equipment scenario (bearing failure, motor overheating, etc.)
  2. 2Click 'Analyze Equipment' to watch AI process sensor data
  3. 3See anomaly detection → failure prediction → alert generation in real-time
  4. 4Toggle between Maintenance/Production/Plant Manager/Ops views
  5. 5Try all 4 scenarios to see different failure modes
  6. 6Check 'Agentic Workflow' to see autonomous agent collaboration
  7. 7Use ROI calculator to estimate savings for your facility
🚀

Want This Built for Your Facility?

This demo shows what's possible. We build it production-ready, integrated with your CMMS, customized to your equipment, and deployed across your facility.