SkyWatch and Picterra Be a part of Forces to Make Geospatial Insights Obtainable to All – Drones Information
SkyWatch and Picterra are pleased to announce their partnership and a new unique joint program to democratize access to satellite data and machine learning.
WATERLOO, ON, October 5, 2020 – Trillions of pixels are captured by satellites orbiting our planet every day. Satellite imagery has become a powerful tool for research, discovery, and analysis. From climate monitoring, to illegal mining, deforestation, agriculture, to construction, retail or financial matters, there are myriad uses. The associated complexity and the associated costs have prevented the broad acceptance of these data sets in the past. Geographic insight is now available to everyone thanks to a new group of companies that have come together to democratize access to satellite data and machine learning.
SkyWatch and Picterra are excited to announce their partnership and a new unique joint program.
SkyWatch is building the infrastructure for the automated distribution of earth observation data. SkyWatch EarthCache ™ gives developers the tools they need to cost-effectively add EO data to their applications and workflows. Picterra is the leading ML / AI software-as-a-service platform that enables companies to autonomously extract information and analysis from satellite, aerial and drone images. It comes with a ready-to-use IT infrastructure: With just a few clicks, the Picterra GPU-enabled infrastructure can process terabytes of images.
The collaboration will make Picterra the leading solution in the market for insight extraction with self-service ML / AI tools and EO imagery. In this way, every company can access unprecedented spatial data and analysis functions at low cost. Picterra disrupts traditional methods of extracting information from images – the platform is 90% cheaper than data science services and 95 times faster than traditional methods of data analysis – a machine learning model can be built in less than 30 minutes and has no coding skills required.
This partnership enables Picterra’s customers to automatically monitor their areas of interest for changes thanks to a combination of EarthCache’s automated tasking request functionality and Picterra’s automated detection algorithms. Monitoring functions that were previously not visible are now made available to everyone. This new integration enables Picterra to provide customers with a cost-effective way to access satellite EO images and generate new insights instantly to stay ahead of the competition.
More information is available at http://bit.ly/Picterra-SkyWatch
“We are very pleased to be able to close the circle thanks to this partnership with SkyWatch. We can now offer our customers a self-service platform that ranges from direct access to the purchase of images to the extraction of their customized spatial data analyzes. “- Frank de Morsier, CTO at Picterra
“Partners like Picterra enable us to advance our mission to make Earth observation more accessible. Picterra enables companies to automatically and easily generate geospatial data, helping solve another piece of the space-to-application puzzle, said James Slifierz, CEO and co-founder of SkyWatch.
SkyWatch (www.skywatch.com) has set itself the task of making earth observation data accessible to the world. Hundreds of trillion pixels of our planet are captured from space every day. Our team uses our previous experience with software for the aggregation of space data and builds the infrastructure to connect satellite data operators and application developers. EarthCache ™ is the easiest way to get satellite data for an application, whether you work in agriculture, utilities, energy, oil and gas, natural resource management, smart cities, insurance, fintech, and more.
Picterra (www.picterra.ch) is the first ML / AI software-as-a-service geodata platform with which companies can autonomously extract information and analyzes from satellite and aerial images. Picterra users create and implement unique, actionable, and ready-to-use deep learning models, quickly and securely, without a single line of code. With pre-trained basic detectors, few human-made annotations are required to identify and monitor scale objects or patterns anywhere on earth.