Enercore AI
GPU-accelerated satellite change detection with ChangeFormer deep learning
Land position owners can't efficiently detect unauthorized encroachments, new construction, or road changes across thousands of acres — manual aerial surveys are expensive and infrequent.
Transformer-based semantic segmentation (ResNet-50/ViT backbone) processes 26 channels in ~2 sec/tile on GPU.
Complete field road network — 'Google Maps for the field' — for navigation and ROW certification.
Automatic detection of structures near wells and pipelines for evacuation planning and regulatory compliance.
Revenue recovery workflow identifying unauthorized land use with $2-5M/year in trespassing claims.
What your data is hiding — patterns invisible to human analysis, detectable only through ML correlation.
Satellite imagery shows no obvious changes between survey periods
ChangeFormer detects subtle land use changes invisible to manual review — new access roads, cleared areas, and structure encroachments
$2-5M/year revenue recovery from unauthorized encroachment detection
Built on Snowflake with enterprise-grade security, rate limiting, and audit logging.
Request a personalized demo to explore how Change Detection GIS surfaces hidden patterns in your oil & gas data.
AI-powered intelligence for energy, construction, and industrial operations.