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Per Model Cost
Unlock the Power of Your Building Data with AI-powered Auto Tagging
Elipsa tags and normalizes your building's BMS data, maximizing the value and utility while streamlining integrations with modern analytical solutions, including the Elipsa AI platform and other third-party solutions.
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What is AI-Powered Auto Tagging?
Auto tagging uses advanced artificial intelligence to automatically categorize and label your building’s data, whether it's sensor readings, equipment information, energy usage, or any other operational data. By intelligently applying metadata tags, the system creates a unified structure, making your data more organized, searchable, and actionable.
Supercharge Your Building Management System With Elipsa
By applying metadata tags to your building data, auto tagging can unlock the full potential of your BMS and other third-party applications:
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Enhanced Data Organization: AI-driven tags provide a systematic way to categorize your data, enabling better organization and easy retrieval of crucial information when you need it.
Improved System Functionality: Tagged data allows your BMS to function at its peak efficiency. Automated workflows, predictive maintenance alerts, and system optimizations can be triggered based on tagged data sets, allowing for more dynamic control and smarter operations.
Interoperability with Third-Party Tools: Auto tagging facilitates the seamless integration of your building data with third-party platforms, making data more accessible for analytics, energy management systems, or tenant apps. This leads to improved decision-making and enhanced functionality across all integrated systems.
​Transform Your Building Operations
​​​Unlock the full potential of your building management system and integrated applications with AI-driven auto-tagging. Start making smarter, data-backed decisions today.
The Benefits of Tagged Building Data
Efficiency Gains: Manual tagging is time-consuming and error-prone. AI auto tagging eliminates human error, ensuring accurate and consistent data classification at scale.
Data Visibility: Proper tagging enbable deeper insights into building operations. Whether it's energy consumption patterns or HVAC performance, tagged data allows you to uncover trends and make informed decisions.
Automation and Predictive Analytics: Tagged data is the foundation for advanced analytics, machine learning algorithms, and automation. Predict issues before they occur, optimize energy use, or streamline system controls—all by leveraging tagged data.
Compliance and Reporting: Many industries require stringent reporting and regulatory compliance. Tagged building data can simplify the reporting process, ensuring that you always meet industry standards effortlessly.
Accurate, Structured Data Tags In Three Simple Steps! ​​​​​
Connect
Auto-Tag
Apply
Futureproof Your Building's Data While Saving Time And Resources With Elipsa Auto-Tagging!
WANT TO GIVE IT A TRY?
Enter the name of your HVAC equipment to see the predicted equipment type and associated haystack tags that would be applied.