Energy & Infrastructure
Energy & Infrastructure
Satellite imagery, predictive analytics, and data-driven operations that help energy companies find revenue opportunities before their competitors do.
Our Approach
The energy sector runs on assets: turbines, pipelines, grids, plants. Knowing when those assets need attention, who owns them, and when to engage separates reactive maintenance from proactive market capture. Quantiva builds the data systems that create that visibility.
For Siemens Energy, we combined Sentinel satellite imagery with predictive analytics to identify when competitor-manufactured gas turbines would need servicing, unlocking $1.2 billion in addressable market and delivering qualified leads directly into Salesforce. That project is a good example of how we work: multi-modal data, cloud infrastructure defined and managed as code, scalable compute for processing terabytes of imagery, and direct integration into the tools teams already use.
We focus on predictive asset analytics, operational intelligence, and market opportunity identification. We work with satellite imagery, IoT sensor data, industrial databases, and proprietary datasets, building edge-to-cloud architectures that ingest data from field sensors and process it through containerized pipelines into platforms that drive revenue, not reports.
Global energy companies, utilities modernizing grid operations, infrastructure firms optimizing asset performance: we bring the data engineering depth (Python and JVM for processing pipelines, cloud-native infrastructure for scale) to turn operational data into strategic advantage.
Results
