Built on Databricks to unlock AI-driven insights from geospatial data
We’re excited to announce the launch of the Geospatial AI Accelerator by Lovelytics, our latest Brickbuilder Solution developed in collaboration with Databricks. Designed to help organizations harness the power of geospatial intelligence at scale, this accelerator makes it faster and more cost-effective to turn raw location data into actionable insights – without relying on complex legacy GIS infrastructure.
From Natural Disaster Mitigation to Infrastructure Optimization
This solution was born out of real-world impact. In partnership with Xcel Energy, Lovelytics helped build a geospatial AI platform to support wildfire mitigation across the utility’s service areas. By combining raster imagery, vegetation data, and AI models in the Databricks Lakehouse, Xcel can now proactively identify high-risk zones, prioritize vegetation management, and reduce risk to millions of customers, all while lowering operational costs.
That same approach is now available to other organizations facing location-based challenges. Whether you’re in energy, telecommunications, transportation, public sector, or insurance, this accelerator empowers you to combine AI with geospatial data to drive smarter decisions.
Practical Business Value, Powered by the Lakehouse
The Geospatial AI Accelerator helps organizations:
- Unlock new insights with AI/ML on geospatial datasets—enabling use cases like predictive maintenance, risk modeling, route optimization, and environmental monitoring
- Lower costs by moving away from expensive GIS platforms to a modern, open Lakehouse architecture
- Scale effortlessly with the power of Databricks and global H3 indexing for fast, reliable spatial data ingestion, transformation, and analysis
- Visualize impact with interactive dashboards built on standardized geospatial formats
But what does this mean in measurable value? In hard numbers, our Geospatial Brickbuilder helps achieve 10x faster time to insights, 50% accelerated delivery to market, and 25% cost savings in raster image processing compared to traditional methods. For just one high-value use case like wildfire mitigation, we’re talking about as much as $20M in cost savings.
“This approach easily scales on Databricks and unlocks AI by accelerating ML model delivery.” — Cindy Hoffman, Director of Data Strategy, Xcel Energy
Why This Matters Now
Geospatial data is everywhere – from satellite imagery and drone footage to sensor data and infrastructure maps. But making sense of it in a scalable, business-ready way has been a challenge – until now.
With this accelerator, you don’t need to be a GIS expert to derive value. It transforms complex raster data into an easy-to-use tabular format using H3 indexing, enabling teams to run powerful AI models and visualizations without specialized tooling.
To learn more or request a demo, visit the Geospatial AI Accelerator page on Databricks.com or watch a short demo here.
What Industry Leaders Are Saying About Geospatial AI on Databricks
“Using Databricks Spatial SQL and H3 functionality, we are able to process terabytes of geospatial weather data which enables faster high-impact decision-making.” — Rob Foster, Principal Data Scientist, Xcel Energy
“Databricks has been innovating at the forefront of data and AI since our inception. Through our ongoing investments, along with great partners such as Lovelytics, customers are using our Data Intelligence Platform to efficiently handle ingestion, processing, analysis, model building and serving needs as they scale spatial use cases.” — Michael Johns, Geospatial Specialist Leader, Databricks
“Geospatial analytics on Databricks provides the opportunity to deliver quantifiable business value by capitalizing the solution assets and reducing traditional O&M costs.” — Giacomo Listi, Energy & Utilities Practice Lead, Lovelytics
