AI for Smarter Buildings & Energy Systems
Spot anomalies. Forecast demand. Get smarter, faster.
Energy Analyst by Intellastar brings advanced machine learning and artificial intelligence to your building and energy systems, giving you full control over your data, infrastructure, and outcomes.
You can select from a curated library of models and train them against your own data using intuitive workflows. Models are pre-configured with sensible defaults, and can be fine-tuned using parameters suited to your specific environment, making powerful AI accessible to both technical and non-technical users.
Whether you're using Intellastar IoT gateways like the TStar 350, or your own server infrastructure, the platform supports scalable AI workloads through a secure and flexible architecture:
- Secure Custom Training: Models are trained using your private datasets, which are never shared or reused for other customers.
- Private Model Storage: All models are stored in encrypted, access-controlled repositories dedicated to your organization.
- Containerized Runtime: Trained models are packaged into portable runtimes that can execute in the cloud, at the edge, or on-premises. Results are not saved and the environment is disposed of after execution.
- Flexible Deployment: Customers can choose to run training and inference entirely within their own infrastructure, or use Intellastar’s secure cloud to accelerate time to value.
The platform also integrates with modern AI services such as OpenAI, enabling users to analyze their data with natural language prompts. By securely connecting your own API keys and tokens, you can generate plain-language summaries, recommendations, detect anomalies, and uncover actionable opportunities buried in historical or real-time data.
AI-Powered Energy Intelligence
Energy Analyst moves beyond yesterday’s degree-day regression models and day-behind data. Our platform continuously calculates, updates, and forecasts performance in real time, adapting to weather shifts, occupancy changes, and equipment behavior as they happen. This means faster insights, more accurate planning, and the ability to spot and address issues before they impact your bottom line.
Continuous Forecasting
- Real-time demand and load forecasts that adapt to changing conditions.
- Seasonal, weekly, and hourly patterns captured for precision scheduling.
- Better budget alignment through accurate forward-looking projections.
Proactive Fault Detection
- Instant detection of unusual energy use or equipment performance.
- Early alerts for inefficiencies, breakdown risks, or drift from optimal settings.
- Less downtime through predictive maintenance insights.
Actionable Insights
- Complex trends translated into plain-language recommendations.
- Continuous performance scoring across sites, systems, and assets.
- Insights tailored to your specific operational goals and compliance needs.
Built for the Future
- Best-in-class forecasting and analytics methods used by leading industries.
- Flexible architecture that keeps pace with rapid advances in AI and energy tech.
- Secure, scalable, and designed for both on-premise and cloud deployment.
Agentic Diagnostics
Energy Analyst goes beyond fault detection and alerting. Our Agentic Diagnostics services automatically review building data, alarms, and system behavior to generate meaningful, actionable insights then convert those insights into ticketed tasks for resolution and tracking.
- AI-Powered Review: Each day, Energy Analyst agents can scan systems, warnings, and building telemetry for performance anomalies and trends.
- Ticket Generation: High-confidence issues are turned into reviewable tickets for engineering teams or facility staff, complete with diagnostics and recommendations.
- Insightful Context: Each insight includes estimated impact—such as wasted energy (kWh/$), shortened equipment lifespan, or occupant comfort risks.
- Automated Grouping & Prioritization: Issues are clustered by root cause and sorted by potential impact—making it easy to focus on what matters.
- Human-In-The-Loop: Facility teams can review, acknowledge, or dismiss recommendations—providing a continuous feedback loop that makes the system smarter over time.
Agentic Diagnostics turns raw data into prioritized action, helping teams catch early signs of system degradation, reduce unnecessary runtime, and respond to real issues not noise.
Ready to See the Future of Energy Management?
Unlock smarter, faster, and more resilient energy strategies with Energy Analyst and the T-Star platform.
Explore our hardware or book a live demo to see how we can power your energy future.