Quantum ring representing energy grid intelligence

AI + Energy & Utilities

Grid intelligence that balances demand, supply, and sustainability

From transmission planning to meter-level analytics, AI that operates within the safety and reliability constraints your grid demands.

Outcomes

Reliability up, outage minutes down, renewables integrated

We focus on the operational problems that keep grid operators up at night: load forecasting errors, aging asset failures, and intermittent generation.

Grid optimization & load balancing

Forecast demand curves at sub-hourly resolution and optimize dispatch across generation assets. Balance economic dispatch with reliability constraints, including N-1 contingency and reserve margin requirements.

Predictive maintenance & outage prevention

Detect transformer degradation, line sag risk, and switchgear anomalies before they cause unplanned outages. Prioritize capital and maintenance spend on the assets most likely to fail, not just the oldest ones on your replacement schedule.

Renewable integration & carbon tracking

Model solar and wind intermittency against storage capacity and curtailment thresholds. Track scope 1, 2, and 3 emissions by asset and time interval for regulatory reporting, REC generation, and ESG disclosure.

Infrastructure-grade

Designed for critical infrastructure compliance

Energy AI cannot afford false positives on safety or false negatives on compliance. We build systems that operate within your reliability standards.

NERC CIP & SCADA integration

  • Architecture patterns that respect NERC CIP electronic security perimeters and access control requirements for BES Cyber Systems.
  • Read-only SCADA and DCS integration that enriches AI models without introducing control-plane risk or bypassing OT/IT segmentation.
  • Real-time telemetry ingestion from PMUs, RTUs, and smart meters with sub-second latency for situational awareness dashboards.

Rate case & regulatory analytics

  • Automated preparation of rate case exhibits, cost-of-service studies, and load research data that aligns with PUC filing requirements.
  • Scenario modeling for decoupled revenue, performance-based ratemaking, and multi-year rate plan proceedings.
  • Vegetation management and wildfire risk scoring integrated with inspection data, LiDAR, and weather forecasts for compliance with state wildfire mitigation plans.

Automate the repetitive. Protect the human.

Infinity motif

Ready when you are

Build grid intelligence that regulators and ratepayers can trust

We will design energy AI systems that meet NERC reliability standards and your operational safety requirements.