Energy infrastructure
Energy & Utilities

Power the grid.
Intelligently.

Grid optimization, renewable forecasting, and asset health monitoring for a sector where precision is measured in megawatts.

18%
Efficiency gains
$280M+
Savings delivered
9
Utilities transformed
What We Build

Energy AI capabilities

Purpose-built AI systems for utilities navigating the energy transition — where reliability is non-negotiable.

Grid Load Balancing

Real-time optimization of generation, storage, and distribution.

Renewable Forecasting

Solar and wind output prediction with 15-minute resolution.

Asset Health Monitoring

Predictive maintenance for transformers, lines, and substations.

Demand Prediction

Accurate load forecasting across residential, commercial, and industrial.

Carbon Optimization

Dispatch optimization that minimizes carbon intensity.

Outage Prevention

Proactive fault detection and automated isolation.

Case Study

Regional Utility Grid Modernization

How AI-powered grid optimization improved efficiency by 18% and reduced outages by 67%.

The Challenge

A major utility serving 4.8 million customers across 3 states was struggling with grid stability as renewable penetration increased. Peak demand forecasting was off by 12% on average. Renewable output variability caused $67M in annual balancing costs. Asset failures in the distribution network led to 340,000 customer-minutes of outages monthly. Regulators were demanding a modernization plan.

Our Approach
Phase 1Grid Digitization4 weeks

Connected 12,000 sensors across substations, transformers, and distribution feeders into a unified data platform.

Phase 2Demand Intelligence5 weeks

Built ensemble forecasting model combining weather, economic activity, historical patterns, and real-time consumption signals.

Phase 3Renewable Integration4 weeks

Developed solar and wind output prediction with 15-minute granularity. 94% accuracy up to 48 hours ahead.

Phase 4Asset Health Monitoring5 weeks

Deployed predictive models for transformers, switches, and cables. 21-day average failure prediction lead time.

Phase 5Control Center Integration3 weeks

Real-time dashboard for grid operators with automated alerts and recommended actions.

21 weeks from kickoff to production
14 HNL engineers + 10 utility engineers
Outcomes
18%
Efficiency improvement
Generation and distribution
$89M
Annual savings
Balancing + maintenance + outages
67%
Outage reduction
Predictive maintenance impact
94%
Forecast accuracy
48-hour demand prediction

Ready to modernize your grid?

Let's discuss how AI can improve reliability, integrate renewables, and optimize your energy infrastructure.

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