ClearBlade Introduces Groundbreaking Real-Time Forecasting AI for Edge Applications
AUSTIN, Texas, Nov. 13, 2025 /PRNewswire-PRWeb/ — ClearBlade, a frontrunner in Edge AI and IoT technologies, has unveiled its innovative Forecasting AI Component within the Intelligent Assets application. This significant advancement allows businesses to develop real-time predictive models of asset performance leveraging both historical and live data, eliminating the need for custom coding or specialized technical skills.
Forecasting AI empowers users to anticipate future asset conditions, resource allocation, and operational risks by simply selecting asset attributes and applying machine learning algorithms. These predictions can be visualized alongside current data, effectively enhancing decision-making processes.
Eric Simone, CEO of ClearBlade, emphasized the aim of this feature: “We built Forecasting AI to grant operational teams the ability to plan proactively without dependence on a centralized analytics department. By embedding this capability directly into Intelligent Assets, we help customers achieve tangible ROI rather than merely experimenting with AI.”
Innovative Features of Forecasting AI
– Predict future values for asset attributes utilizing historical data and environmental variables.
– Execute forecasting models at the edge, ensuring functionality even during connectivity interruptions.
– Compare real-time telemetry with predicted values through user-friendly dashboards.
– Access GenAI recommendations for impactful forecasting inputs.
– Analyze upcoming operational spans using an enhanced time-range control.
– Benefit from an intuitive no-code interface catered to operational and business users.
Integrated and Accessible
The Forecasting AI Component integrates seamlessly into everyday workflows, enabling users to configure the tool by selecting the attributes they wish to model directly within Intelligent Assets. This ensures that no external systems or data science teams are required.
Aaron Allsbrook, CTO of ClearBlade, noted, “Most predictive solutions tend to function in isolation or involve offline processing. We offer forecasting as a fully integrated, always-on feature within the digital twin, allowing users to anticipate future events rather than merely reflecting on the past.”
Utilizing Edge-Native Technology
Powered by ClearBlade’s edge-native architecture, the Forecasting AI Component is optimized for industrial settings where data connectivity can be sporadic, and immediate decisions are crucial. This architecture allows predictions to be computed at the source, maintaining operations even during network outages.
Potential Applications of Forecasting AI Include:
– Predictive Maintenance: Foresee equipment failures and arrange service proactively.
– Smart Energy: Anticipate power generation, storage, and consumption in solar and grid systems.
– Facility Optimization: Predict HVAC demand and occupancy in smart buildings.
– Fleet Oversight: Estimate fuel levels, engine temperatures, and component wear.
– Utility Strategy: Model future water flow and demand across utility networks.
– Inventory Management: Optimize parts and replenishment based on actual usage trends.
ClearBlade developed the Forecasting AI Component using Google Cloud’s Vertex AI, BigQuery, and Gemini models, delivering enterprise-grade intelligence within its digital twin platform.
Now Available for Intelligent Assets Users
The new Forecasting AI feature is available immediately to all users of Intelligent Assets. Interested parties can enable it via the ClearBlade platform. To learn more or schedule a demo, visit clearblade.com.
ClearBlade remains dedicated to empowering organizations with pioneering Edge AI solutions that connect physical infrastructure to real-time insights, enabling smarter operations worldwide. For more information, visit www.clearblade.com.
