AI Agents working together
to Eliminate Unplanned Downtime
Move from reactive to predictive. Physics-informed AI agents detect anomalies, predict failures 24-72 hours in advance, diagnose root causes with document-grounded reasoning, and automatically generate work orders.
app.metricsflow.ai/dashboard
Built for critical industries
Measurable impact on your bottom line
Our customers see real results from day one with AI-powered equipment intelligence
Downtime Reduction
Average across deployments
Advance Warning
Physics-informed predictions
Detection Precision
4-model ensemble voting
Annual Savings
Per enterprise client
Time to Value
vs 2+ years for competitors
Specialized AI Agents, One Intelligent System
Each agent is optimized for its task. Together, they deliver autonomous operational intelligence that competitors can't match.
Anomaly Detection Agent
4-model ensemble intelligence
Predictive Maintenance Agent
Physics-informed RUL prediction
Root Cause Analysis Agent
Document-grounded diagnostics
Action Recommendation Agent
Context-aware maintenance planning
Knowledge Management Agent
RAG engine for your documentation
Conversation Agent
"Ask AI" natural language interface
How Agents Work Together
Real-time coordination through our intelligent orchestration layer
Agents coordinate through event-driven workflows
See AI agents in action through a single pane of glass
Everything you need for autonomous operations
AI that understands your equipment, your documentation, and your business.
Real-time Health Monitoring
Composite health scores from 50+ parameters. Fleet-wide benchmarking identifies underperformers instantly.
Ensemble Anomaly Detection
Statistical (25%), Isolation Forest (30%), LSTM (25%), Autoencoder (20%) vote together for 89% precision.
Physics + ML Hybrid
Weibull distributions and bearing defect frequencies (BPFO, BPFI, BSF) inform our ML models. Works with just 3-6 months of data.
Document-Grounded RCA
Root causes are traced to your SOPs, manuals, and failure mode databases. Every diagnosis includes citations.
Failure Prediction (RUL)
Weibull survival analysis + Cox proportional hazards + RNN regression predict remaining useful life with confidence intervals.
Ask AI Assistant
"Why is compressor C-2 running hot?" Get instant, cited answers. Multi-turn conversations with context retention.
Enterprise-grade agent infrastructure
Built for scale: from a single asset to thousands. Secure, reliable, and continuously learning.
Data Integration
Connect any industrial data source
Agent Orchestration
Multi-agent coordination layer
Knowledge Engine (RAG)
Your documentation, AI-searchable
Workflow Automation
Detection to action, automated
From Detection to Resolution, Automated
What takes hours of manual investigation now happens in minutes. Human-in-loop for critical decisions, fully autonomous for routine tasks.
Anomaly Detected
4-model ensemble detects deviation 24-72h before failure
Root Cause Identified
Bayesian inference + RAG grounds diagnosis in your SOPs
Action Recommended
Prioritized steps with spare parts and safety procedures
Work Order Created
Auto-generated in SAP PM, Maximo, or your CMMS
Cost-Aware Optimization
Our agents understand that a false negative (missed failure) costs $100K+ while a false positive (unnecessary alert) costs ~$1K. Detection thresholds are tuned accordingly for maximum business impact.
Connect your existing systems
MetricsFlow integrates seamlessly with your existing industrial data infrastructure. No rip-and-replace required.
AVEVA PI
AVEVA PI System
HistorianSAP PM
SAP Plant Maintenance
ERPAWS IoT Core
Amazon Web Services
CloudAzure IoT Hub
Microsoft Azure
CloudOPC UA Server
Universal Architecture
ProtocolOSIsoft PI
Process Information
Historian50+
Integrations
< 5min
Setup time
99.9%
Uptime SLA
24/7
Support
Ready for autonomous operations intelligence?
Join enterprises using MetricsFlow's multi-agent AI system to predict failures 24-72 hours ahead, diagnose root causes with document-grounded reasoning, and automate work order creation.