Trustworthy Energy Forecasting
Causal Models with Audit-Grade Confidence
EnerGaze Forecast delivers causal forecasting capabilities optimized for AWS cloud environments. With agentic pipelines and audit-grade confidence levels, it quantifies program impact and provides stakeholders with actionable, trustworthy predictions.
Key Features
Causal Engine
Goes beyond correlation — identifies true causal drivers of demand and program impact.
AWS-Native
Designed for SageMaker, Lambda, and S3 — no infrastructure overhead.
Confidence Intervals
Every forecast includes calibrated uncertainty bounds for regulatory submissions.
How It Works
Ingest data
Connect to your AMI, weather, and program data via our connector library.
Train causal model
Our agentic pipeline selects the optimal causal specification automatically.
Generate forecasts
Produce hourly, daily, or monthly forecasts with confidence intervals.
Monitor & retrain
Automated drift detection triggers retraining when performance degrades.
Ready to see EnerGaze Forecast in action?
Book a live demo with our team — no obligation, no pressure.
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