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🏭 Manufacturing Tech🏗️ 4 Tech Levels🚀 Production-Grade

Smart Factory IoT AI

See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent

August 22, 2025
demointeractivesmart-factoryiotmanufacturing
🤖Demo 1 of 4

Advanced Multi-Agent System

BOFU: Production LangGraph with Router → Specialized Agents → Aggregation

1. Select Analysis Scenario

Query requiring multiple specialist agents: 3 CNC machines showing correlated vibration anomalies
Competitors: CNC-01 (vibration 0.8g, normal 0.3g), CNC-02 (vibration 0.9g, normal 0.3g), CNC-03 (vibration 1.1g, normal 0.3g)

2. Monday's Prompt

This positioning analysis prompt from Monday's insight will be processed by Tuesday's agents in Wednesday's workflow.

3. Run Multi-Agent Workflow

You'll see 5 AI agents: Data Collector → Messaging Analyzer → Position Mapper → Strategy Advisor → Insight Generator
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🔌Demo 2 of 4

MCP Tool Use Pattern

TOFU: LLM calls IoT tools via Model Context Protocol - see real tool execution

Automation Task

User query → LLM decides tool (read_sensor) → Executes via MQTT → Returns telemetry

Monitoring:CNC-01
ai-agent-terminal

Terminal ready. Run simulation to begin.

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🔍Demo 3 of 4

RAG-Based Search

MOFU: Search 100+ maintenance logs with vector similarity

Search Query

"Search Similar Past Failures"

Embed query → Search vectors across 2,000 work orders → Retrieve top 5 similar incidents → Generate answer with successful resolution patterns

Document Sources:Work Order WO-2024-03-15 (spindle bearing replacement, 4hr downtime, $1,200 cost)Work Order WO-2023-11-08 (coolant pump failure causing spindle vibration, 2hr fix, $800 cost)Technician Note TN-2024-07-22 (spindle imbalance after tool change, realignment fixed, 30min, $0 cost)Failure Report FR-2023-05-12 (spindle bearing catastrophic failure, 3-day downtime, $45K cost)

RAG Vector Search Network

Embedding
Searching
Generating
Query
Vector
Documents
Result

Search Results

Run visualization to see results

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🛠️Demo 4 of 4

Multi-Tool Orchestration

MOFU: Multiple IoT tools working together automatically

ROI Analysis

Orchestrator calls: read_all_sensors(500 machines) → analyze_vibration_trends(flagged machines) → check_maintenance_schedules() → generate_health_report() → send_alerts(urgent issues)

Integrations:500 machines monitored180,000 sensor readings processed23 anomalies detected8 work orders generated3 urgent alerts sent
Manual Process

Time to Complete

240 min

Cost per Analysis

$850

Data Points Analyzed

150

Accuracy Rate

73.0%

Reports per Day

2

Error Rate

18.0%

Ready for Production Smart Factory System?

We'll build your custom system: MCP tools (TOFU - instant diagnostics) → RAG search (MOFU - search 2,000+ work orders) → Multi-tool (MOFU - daily automated monitoring) → Multi-agent (BOFU - 24/7 autonomous operation). From demos to deployment in 8-12 weeks. 87% → 99.2% uptime, $2.445M → $725K/year (70% cost reduction).

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2026 Randeep Bhatia. All Rights Reserved.

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