Case Study: Skytec scales geospatial monitoring and forestry intelligence with Picterra

How Skytec builds geospatial apps & services using Picterra

Skytec, a provider of unmanned aerial systems and geospatial technology, faced the challenge of meeting rising demand for large-scale geospatial analysis. They needed to transform their offering with innovative machine learning but found that building such a complex tech stack in-house would be extremely expensive and staffing-intensive. This challenge threatened to prevent them from scaling their services for forestry management and environmental monitoring.

Partnering with Picterra, Skytec integrated its machine learning engine into their remote monitoring application, Ranger. This solution enabled the automated detection of changes like timber harvesting across millions of acres. The results were significant, with Picterra helping to quantify over 44,000 polygons in hours and achieving 86% detection accuracy after just one day of training. This provided enormous time savings for Skytec's clients and allowed them to scale their operations seamlessly.

Skytec

Andy Carroll

CTO & Co-Founder