Dedrone, the market leader in smart airspace security, today announced that it has been named to the 2023 CNBC Disruptor 50, an acclaimed list of ambitious, highly innovative private companies that are transforming the economy and forcing public giants to reimagine the way they do business.  

Over the course of 2022, Dedrone further cemented its leadership in the counterdrone industry in numerous ways. These include releasing three new products DedroneRapidResponse, DedronePortable, and DedroneDefender; raising a $30 million Series C-1 in July 2022 in the midst of economic turbulence; and supporting the Ukrainian war effort with DedronePortable and DedroneDefender, enabling soldiers to detect and mitigate drone threats.  

“We are honored by CNBC’s recognition of our growth and our leadership in this new era of global security and public safety,” said Aaditya Devarakonda, CEO of Dedrone. “We offer the most advanced end-to-end counterdrone solution to security professionals, public safety, and military professionals around the world, powered by our sophisticated AI/ML and sensor-fusion capabilities, which has resulted in the largest install base among companies in our industry. It is wonderful to be recognized for our technological advances and we offer our congratulations to the other honorees.”  

The annual determination of the CNBC Disruptor 50 is based on a proprietary methodology that incorporates both quantitative and qualitative inputs. Previous honorees include Zipline, Arctic Wolf and Brex.

The list was released today across CNBC’s TV and digital platforms. In identifying fast-growing companies on the path to being the next generation of companies, CNBC said that this year’s Disruptor 50 list “could be the most consequential yet.”

At the heart of Dedrone’s end-to-end counterdrone solution is DedroneTracker, its command-and-control (C2) platform. Utilizing proprietary algorithms and AI techniques, Dedrone is revolutionizing the way security professionals approach drone defense through our advanced AI-driven autonomous C2 platform. Dedrone has gone beyond the limits of simple sensor correlation to incorporate advanced algorithms and machine learning techniques, such as behavior model filters, neural networks, and AI-based imagery with over 18 million images. By leveraging these sophisticated methods, Dedrone has virtually eliminated the issue of false positives in its drone detection system, providing unmatched accuracy and reliability. Dedrone’s cutting-edge platform and continuous commitment to innovation is revolutionizing lower airspace security.