JolyHi AI
The Predictive Intelligence Hub for Future-Ready Operations
Your Next-Generation Digital Facilities Expert
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About JolyHi
Designed specifically for facilities engineering and MEP operations teams, JolyHi is an AI-powered autonomous decision platform that embeds expert consulting knowledge into AI models. Acting as an enterprise-wide digital agent, it provides 24/7 real-time monitoring, accurate forecasting, and automated, closed-loop decision support.
JolyHi not only addresses the loss of skilled personnel and the challenge of preserving institutional knowledge, but also introduces AI agents that continuously enhance facility system operations. This enables a fundamental shift from experience-dependent services to AI-powered operational intelligence.
JolyHi not only addresses the loss of skilled personnel and the challenge of preserving institutional knowledge, but also introduces AI agents that continuously enhance facility system operations. This enables a fundamental shift from experience-dependent services to AI-powered operational intelligence.
Joly Model
Machine learning and intelligent prediction
Joly Flow
All functional modules are connected based on the process
Joly Connect
Cross-protocol conversion module
Joly Act
Safety engineering barrier control mechanism
Joly View
Full-domain visualization with customizable interactive modules
Joly Brain
AI decision-making brains and knowledge bases
Joly Guard
Information security protection and human-machine collaboration gateways
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Product features
Full-view intelligent operation and maintenance
Full-view intelligent operation and maintenance
The system fully controls facility status, enabling "driverless driving" in industrial operations and maintenance, moving from passive emergency repairs to autonomous closed-loop protection.
Industrial semantic translation and interactive query
Industrial semantic translation and interactive query
Breaking down data silos by automatically converting complex device data into AI logic language, eliminating communication barriers between IT and OT.
Predictive maintenance recommendations
Predictive maintenance recommendations
Using data to anticipate the future, predicting fault risks based on historical trends and equipment parameters, shifting from passive emergency repairs to proactive maintenance.
