Real-time geospatial intelligence for an evolving world.
Unlock global-scale insights into economic and environmental trends and track patterns in human activity through satellite imagery.
Access a broad range of geospatial analytics capabilities. Instantly field production-ready machine learning models and integrate them into you analytic workflows.Find out more
Rapidly develop and deploy novel machine vision models that satisfy specific queries. We remove the complexity of image ingestion, data management and resource orchestration, allowing technical users to focus on surfacing high-value information.Find out more
Our analysis methodology integrates commercial and public satellite sensors to provide a wholistic view of earth activity with unprecedented temporal clarity.
Our framework translates satellite imagery into geospatial data by exposing models that discover relevant patterns, determine and identify change, and characterize those patterns.
Whether you need to develop a deep understanding of large-scale activity or fine-grained situational awareness, our geospatial data create decision advantage across a broad array of industries and applications.
Through satellite imagery, we are able to access ground-truth information in hours, not months.
Fielded models are put through a rigorous (and open) evaluation process that includes performance benchmarking, ongoing auditing and human+machine co-validation.
Our models can scale from single instance sandbox experiments to global scale analytics tools in minutes.
Q: How much steel was produced in Zhejiang this month?
Monitor steel furnace facilities to understand industrial output and financial market implications. Our industrial analytics models allow users to develop a bottom-up understanding of industry conditions globally, tracking factory level capacity expenditure, industry level capacity utilization, and industry-specific input and output. These models can be used to understand upstream supply chain risks, gauge macroeconomic conditions or evaluate raw material demand.