Enercore AI

Enercore AI

AI-Powered Intelligence for Energy, Construction, and Industrial Operations

Enercore AI transforms operational data into predictive insights using Snowflake Cortex, multi-agent architectures, and machine learning — revealing hidden patterns your teams can't see.

Trusted Across Energy, Construction, and Industrial Sectors

Drilling Operations
Upstream Production
Power & Utilities
Construction Earthwork
Wildfire Risk Planning
Workforce Management
Chemical Pricing
Change Detection GIS

Intelligence That Sees Below the Surface

Our platform combines Snowflake Cortex AI, domain-specific agents, and predictive ML to surface insights hidden deep in your operational data.

Snowflake Cortex AI

Ask questions in plain English. Cortex Analyst translates to SQL, Cortex Search enables RAG over documents, and Cortex Complete powers conversational AI — all on your Snowflake data.

Multi-Agent Architectures

Domain-specific AI personas — Historians, Advisors, and Watchdogs — collaborate to provide contextual insights tailored to drilling, power, construction, and chemical operations.

Hidden Discovery Engine

ML models detect micro-patterns invisible to human analysis: gas locking 12 hours ahead, ghost equipment cycles wasting $65K/year, and water treeing in underground cables.

Enterprise Integration

Org-scoped webhooks, real-time notifications, SSO via Clerk, audit logging, and role-based access — built for teams that need security and compliance at scale.

Measurable Impact Across Industries

Our solutions deliver quantified business outcomes backed by real operational data — from Volve field production records to ERCOT market analytics.

20%+20%

ESP uptime improvement

$750,000+15%

Annual savings per field

1%+3%

Load forecast accuracy (MAPE)

10%+10%

EBITDA improvement

Built for the People Who Run Operations

Predictive maintenance transformed

We detected gas locking events 12 hours before they would have caused pump failure — preventing $150K in workover costs and 3 days of lost production per event.

Reservoir EngineerOil & Gas Operations

Ghost cycles uncovered

TERRA revealed that 18% of our equipment operating time was actually ghost cycles — idling while moving. That insight alone saved $65K per site in annual fuel costs.

Site SuperintendentConstruction Operations

Load forecasting at scale

The physics-enhanced XGBoost model achieved ~1% MAPE on ERCOT load forecasting. The hidden correlation between humidity and Houston pricing was something we never would have found manually.

Grid AnalystPower & Utilities

Underground cable risk detection

VIGIL's water treeing detection correlated AMI voltage anomalies with rainfall events to find degrading cables invisible to visual inspection — before they became safety hazards.

Reliability EngineerUtility Infrastructure

Common Questions About the Platform

Learn how Enercore AI leverages Snowflake Cortex, multi-agent AI, and machine learning to deliver operational intelligence across energy, construction, and industrial sectors.

See What Your Data Is Hiding

Your operational data contains patterns that drive millions in value — gas locking events, ghost cycles, cable degradation, demand correlations. Enercore AI finds them before they become problems or missed opportunities.

Enercore AI

Enercore AI

AI-powered intelligence for energy, construction, and industrial operations.