Self-learning system that gets smarter with every interaction. Rupert emails warnings when issues develop, or you can email Rupert to investigate anything unusual. Safe read-only monitoring via TAPs or Modbus.
Rupert → You: Proactive warnings when patterns indicate failure
You → Rupert: Ask Rupert to investigate any concern
Rupert emails you with predictions, or you email Rupert to investigate - learning from every interaction
Learns YOUR Equipment: Rupert isn't a generic AI - it's a learning system that adapts specifically to your equipment's unique behaviors and failure modes
Progressive Learning: Starts with general industrial knowledge, then learns your specific patterns. Month 1: 60% accuracy → Month 6: 94% accuracy for YOUR equipment
Human-Like Memory: Remembers critical patterns forever (that bearing that failed last year), forgets routine noise (yesterday's normal startup). This is how experienced engineers think
Outcome-Based Learning: When you confirm Rupert's prediction was correct, it strengthens that pattern. When wrong, it adjusts. Every interaction makes Rupert smarter
Rupert → You (Proactive): "Compressor surge likely in 12 hours. Observed similar pattern 3 times before. Reduce load to 80% to prevent." Sent automatically when patterns detected
You → Rupert (Investigative): "Rupert, pump sounds different today. Check bearings and alignment." Rupert analyzes historical data and responds with findings
Continuous Dialogue: Email threads maintain context. Rupert remembers what you discussed yesterday and builds on that knowledge
Team Access: Multiple operators can email Rupert. It learns from everyone's observations, building collective knowledge
How Email Rupert processes industrial data at scale
Safe Data Collection: Read-only TAP connections, Modbus polling, OPC-UA, or any method your site prefers. Always isolated from control functions - monitoring only, never controlling
Flexible Connectivity: 4G cellular for air-gapped security, or secure site network if preferred. Whatever meets your security requirements
Pattern Recognition Engine: Multi-layer neural network trained on 10M+ industrial failure patterns. Uses Bayesian inference for confidence scoring (60-95% confidence range)
Progressive Memory System: Three-tier architecture: Recent (7 days full resolution), Working (30 days compressed 10:1), Permanent (patterns only, 1000:1 compression)
Diagnostic Code Generation: Autonomous Python script generation for root cause analysis. Scripts sandboxed in Docker containers with resource limits
Data Collection Methods: TAP connections (100% safe, read-only), Modbus RTU/TCP, OPC-UA, or any site-approved method. We adapt to YOUR infrastructure
Input Formats: CSV, JSON, XML, plain text with regex parsing. Handles time-series data at 1Hz-1kHz sampling rates
Processing Latency: Email receipt to response: 15-45 seconds typical, 2 minutes maximum for complex multi-variate analysis
Concurrent Processing: 10,000+ simultaneous monitoring points. Scales horizontally as needed
Data Compression: Local edge processing reduces bandwidth needs by 70%. Only patterns and anomalies transmitted, not raw data
Training Data: 200+ facilities, 50,000+ equipment units, 10M+ failure events across 6 industries
Algorithm Stack: Random Forest for anomaly detection → LSTM for time-series prediction → Bayesian networks for root cause analysis
Learning Rate: Online learning with hourly model updates. Accuracy improves from 60% (cold start) to 94% (6 months) average
Confidence Scoring: Multi-factor confidence based on: pattern match strength, data quality, historical accuracy, time since similar event
Feedback Loop: Outcome correlation via email confirmation. Reinforcement learning adjusts weights based on operator feedback
Read-Only Monitoring: TAP connections are 100% safe - physically incapable of writing to control systems. Modbus configured for read-only polling. Zero risk to operations
Flexible Network Options: Use 4G cellular for complete air-gap, or secure site network with proper DMZ configuration. We adapt to YOUR security requirements
Data Encryption: TLS 1.3 for all transmissions, AES-256 for data at rest. End-to-end encryption from collection point to analysis
Compliance: ISA-95 Level 3.5 compatible, NERC CIP compliant (no critical system control), FDA 21 CFR Part 11 audit trail
Authentication: SPF, DKIM, DMARC validation for emails. Whitelist-based sender verification. No control capability - monitoring only
Two-way communication: Rupert alerts you, and you can ask Rupert
Rupert adapts to YOUR specific equipment patterns, regardless of industry
Rotating Equipment: Pumps, turbines, compressors, fans, motors, generators - Rupert detects bearing wear, imbalance, and misalignment weeks before failure
Heat Transfer: Boilers, heat exchangers, furnaces, reactors - Rupert identifies fouling, tube degradation, and efficiency losses as they develop
Process Control: Valves, instruments, control loops - Rupert spots drift, stiction, and calibration issues before they impact production
Any Sensor Data: Temperature, pressure, flow, vibration, current, level, composition - Rupert finds patterns humans miss
Your Industry: Chemical, refining, power, pulp & paper, pharmaceutical, manufacturing, water treatment, mining, food & beverage - Rupert adapts to your specific processes
Traditional monitoring alerts you when something is already wrong.
Rupert emails you days before something will go wrong.
Connect with our engineering team for site-specific implementation
Rupert learns YOUR equipment's unique patterns. Two-way email communication: Rupert alerts you to developing issues, you can ask Rupert to investigate anything. Starting at 60% accuracy, reaching 94% as it learns from every interaction.
Start Rupert Learning Your Equipment