Syris AI offers SyrisOne, an industrial AI co‑pilot that connects to existing plant historians and sensor feeds in mining operations without altering control systems. It uses context‑aware algorithms to surface critical signals and early‑warning anomalies, then provides clear, actionable recommendations with reasoning and impact estimates, helping engineers reduce unplanned downtime and improve efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Mining operations generate massive amounts of historical and real-time sensor data, but most of this information remains unused for decision‑making, leading to unplanned downtime and missed optimization opportunities.
Solution
SyrisOne is an industrial AI co‑pilot that connects directly to existing plant historians and sensor feeds without requiring changes to control systems. It interprets process context to surface the most relevant signals and anomalies, allowing operators to see emerging issues before they impact production. The platform then generates clear, actionable recommendations, complete with reasoning and projected impact, enabling engineers to make informed decisions quickly. By turning raw data into trusted guidance, SyrisOne helps mining sites reduce unplanned downtime and improve operational efficiency.
Target Audience
Primary users are mining plant engineers, operations managers, and maintenance teams responsible for overseeing smelters and processing facilities.
Features
- Seamless integration with existing historian databases and sensor networks, preserving current control system configurations
- Context‑aware AI that interprets process data to highlight critical signals and early‑warning anomalies
- Automated recommendation engine that provides actionable steps with explicit reasoning and impact estimates
- Read‑only mode for safe deployment, ensuring no interference with live control loops
- Interactive dashboard that presents insights in an operator‑friendly format for rapid decision making