Over the past decade, drones have become an important tool for forest monitoring. They are a fast and effective way to collect a lot of data in a short period of time. Treeswift was formed as a spinoff of the University of Pennsylvania's GRASP Laboratory in 2020.
Steven Chen, Elizabeth Hunter, Michael Shomin, and Vaibhav Arcot created a system capable of collective large swaths of data in a fly-through. It can be used for a wide range of different applications, including forest fire prevention, carbon capture readings, and depredation monitoring.
Chen, the startup's CEO, said in a release that their mission is to build the data ecosystem for the natural world.
The company announced a seed round this week. The total is now up to $6.4 million after the $4.8 million in funding from Pathbreaker.
Treeswift is an image.
Ryan Gembala says that Treeswift's solution is able to measure the natural world in a way never before possible. The data from their deployment will become a foundation for the biggest opportunities in nature-based solutions and management.
SwiftCruise is a combination hardware/software solution that can collect metrics on a tree-by- tree level. The data is collected in a cloud based dashboard and processed by machine learning. It is a more detailed picture that has been collected by methods like satellite or plane imagery.
Treeswift is working with a number of forest companies.
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