Agentic AI that thinks, acts, and predicts to eliminate downtime. A fully autonomous operating system for the modern factory.


"We have too much data, but we are too slow to act."
Maintenance tickets are created only after failures occur, leading to costly unplanned downtime.
Critical knowledge is buried in PDFs, logbooks, and veteran engineers' heads, not in the system.
Dashboards show you "what" happened, but they can't tell you "why" or "what to do next".
Our Agentic AI bridges this gap — processing operational signals, learning equipment behavior, and delivering timely predictions with clear action plans.
Four integrated capabilities that transform your factory from reactive monitoring to proactive intelligence.

AI doesn't just flag anomalies—it instantly creates work orders with priority scores and routes them to the right operator with full context.
Learn More
Multi-hop reasoning that queries sensor data, OEM manuals, and historical logs to answer complex questions like 'Why is vibration increasing?'
Learn More
Combines classical ML precision with Agentic AI context for transparent, state-of-the-art anomaly detection and RUL calculations.
Learn More
Run 'What If' scenarios in a virtual sandbox before touching real equipment—test maintenance strategies with zero downtime risk.
Learn MoreMany facilities deal with early warning signs that never turn into meaningful insight. Signals appear, disappear, and leave no clear understanding of what the equipment is actually trying to report. Without interpretation, these moments are lost and failures are recognized only after they disrupt production.
Our work centers on making this information understandable through advanced AI analysis. We process operational signals, identify recurring patterns, and interpret subtle changes that usually go unnoticed. The system learns the behavior of each asset, evaluates risk levels, and provides clear forecasts on when intervention may be needed.
This approach turns complex machine behavior into practical guidance. It supports maintenance teams with timely predictions, helps prevent unexpected stoppages, and brings a more reliable planning structure to daily operations.
This section is a conceptual preview. The live demo is under development.
Explore how each capability transforms traditional maintenance into proactive, intelligent operations.
When an anomaly is detected, our AI instantly generates a work order with priority and difficulty scores, routes it to the most qualified operator based on skill level and shift, and provides full context including relevant history and similar past incidents.
It performs multi-hop reasoning across your sensor databases, OEM manuals, and historical logs. Ask 'Why is cooling pump vibration increasing?' and get a comprehensive, step-by-step analysis—not just raw data.
We combine classical ML's statistical precision for anomaly detection with Agentic AI's contextual understanding. The result: state-of-the-art RUL predictions with transparent reasoning you can audit and trust.
Combining deep expertise in AI, engineering, and business to revolutionize manufacturing.

Co-Founder & Chief Executive Officer
AI Strategy & Market Development

Co-Founder & Chief Technology Officer
Machine Learning, Optimization, Signal Processing

Co-Founder & Chief Growth Officer
Growth, AI Product Strategy

Co-Founder & Chief Product Officer
Data Science, Optimization

Chief Operations Officer
Machining Optimisation, Manufacturing Systems

Chief AI Officer
LLMs & AI Systems Architecture

Backend Developer & DevOps Engineer
Backend Development, Database Management, DevOps
Stop being reactive. Start being proactive. Let our Agentic AI bridge the gap between your data and decisive action.
Or reach out directly
info@optinoe.com