Smart Factory IoT AI
See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent
Advanced Multi-Agent System
BOFU: Production LangGraph with Router → Specialized Agents → Aggregation
1. Select Analysis Scenario
2. Monday's Prompt
3. Run Multi-Agent Workflow
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
Terminal ready. Run simulation to begin.
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
RAG Vector Search Network
Search Results
Run visualization to see results
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)
Time to Complete
Cost per Analysis
Data Points Analyzed
Accuracy Rate
Reports per Day
Error Rate
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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