Enercore AI
Enercore AI
Wildfire risk mitigation with GO95 compliance and water treeing detection
Utility companies face catastrophic wildfire liability from vegetation encroachment and aging underground cables — but visual inspections miss the degradation patterns that precede failures.
CPUC General Order 95 vegetation clearance tracking across fire districts (Tier 1-3) with voltage-specific requirements.
Multi-factor ignition probability modeling across NorCal, SoCal, PNW, Southwest, and Mountain regions.
Gradient Boosting model forecasts equipment degradation to prioritize replacement before failure.
Vegetation Guardian, Asset Inspector, Fire Risk Analyst, and Water Treeing Detective — four specialized AI personas.
What your data is hiding — patterns invisible to human analysis, detectable only through ML correlation.
Underground XLPE cables pass visual inspection — no visible damage
AMI voltage anomalies correlate with rainfall events (r > 0.5) in cables aged 15-25 years, indicating water treeing degradation
Cable failures prevented before they become safety hazards or ignition sources during fire season
Built on Snowflake with enterprise-grade security, rate limiting, and audit logging.
Request a personalized demo to explore how Construction Risk Planning — VIGIL surfaces hidden patterns in your construction data.
AI-powered intelligence for energy, construction, and industrial operations.