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Security company TurbineOne is set to draw on its unmanned systems model-sharing technology to support the U.S. Air Force’s special operations.
Selected by AFWERX, TurbineOne will leverage its Frontline Perception System (FPS) software to focus on sharing machine learning (ML) models at the edge, specifically within autonomous drone swarms.
TurbineOne’s Frontline Perception System (FPS) enables users to create, refine, and implement computer-driven recognition algorithms effortlessly, eliminating the need for coding and dependence on cloud services.
The $1 million Direct-to-Phase II contract awarded to TurbineOne aims to address the most pressing challenges within the realm of autonomous swarming for the Department of the Air Force (DAF).
With the agreement, TurbineOne will continue to create and provide innovative capabilities to strengthen the national defense of the U.S.
The DAF began offering the Open Topic SBIR/STTR program in 2018, which expanded the range of innovations that the DAF funded.
TurbineOne Co-Founder and CEO, Ian Kalin, commented; “We’re honored that the Air Force Special Operations Command (AFSOC) chose our machine learning perception technology to empower their autonomous systems.
“Our technology solves a critical capability gap by seamlessly exchanging information among autonomous drone swarms, even in austere or communication-denied environments. We’re thrilled to be working with Autonomy Prime and continuing our relationship with one of our earliest customers, AFSOC.”
