Deci Selected as Best Edge AI Developer Tool in 2023's Edge AI and Vision Product of the Year Awards
Deci awarded top honors by a panel of independent industry experts
TEL AVIV, Israel, May 24, 2023 /PRNewswire-PRWeb/ -- Deci, the deep learning company harnessing AI to build AI, today announced that its deep learning development platform was selected as winner of the 2023 Edge AI and Vision Product of the Year Awards for "Best Edge AI Developer Tool." The awards recognize the innovation and excellence of the industry's leading technology companies that are enabling practical visual AI and computer vision.
Edge AI applications are becoming increasingly common, yet AI teams are still facing challenges when trying to reach sufficient inference performance and in some cases are not able to deploy or cost-efficiently scale their models on the target edge hardware.
"Deci is honored to be recognized as the winner of 2023 Best Edge AI Developer Tool of the Year," said Yonatan Geifman, CEO and co-founder of Deci. "Our mission at Deci is to empower AI teams with tools to eliminate development bottlenecks and reach efficient inference performance at a faster rate. We are proud to be serving leading enterprises which deploy on edge devices across verticals and allowing them to achieve unparalleled inference performance, while also significantly reducing their development time and compute costs."
Deci's deep learning development platform is utilized by enterprises across industries including consumer and retail, smart cities applications, automotive, robotics, sports, smart manufacturing, and smart agriculture.
"Congratulations to Deci for earning the distinction of Best Edge AI Developer Tool for its Deep Learning Platform," said Jeff Bier, founder of the Edge AI and Vision Alliance. "As edge AI proliferates into many industries and applications, ease of developing and deploying optimized models becomes paramount. We applaud Deci for their innovative approach to address this challenge."
Powered by Neural Architecture Search (NAS), the Deci platform offers advanced tools to build, train, optimize, and deploy highly accurate and efficient models to any environment, including mobile, laptops, and other edge devices, as well as the cloud and data centers. Using Deci's NAS engine, called AutoNAC, data scientists and machine learning engineers are able to develop powerful models tailored to their specific hardware and use case and achieve outstanding performance, even on resource constrained edge devices. AutoNAC-generated models outperform well known state of the art models by 3-10x and deliver an optimal balance between accuracy and latency (or throughput).
Leading companies use Deci's deep learning platform to accelerate inference performance, enable new use cases on edge devices, migrate workloads from cloud to edge, reduce their cloud compute cost, and significantly shorten time to market.
The Edge AI and Vision Product of the Year Awards are judged by an independent, expert panel and solutions are evaluated based on innovation, impact on customers and the market, and competitive differentiation.
About the Edge AI and Vision Alliance
The Edge AI and Vision Alliance is a worldwide industry partnership bringing together technology providers and end-product companies, creating and enabling innovative and practical applications for computer vision and edge AI. Membership is open to any company that supplies or uses technology for Edge AI and vision systems and applications. For more information on the Alliance, visit https://www.edge-ai-vision.com/.
About Deci
Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company's deep learning development platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment including cloud, edge, and mobile, allowing them to revolutionize industries with innovative products. The platform is powered by Deci's proprietary automated Neural Architecture Construction technology (AutoNAC), which automatically generates and optimizes deep learning model architectures and allows teams to accelerate inference performance, enable new use cases on limited hardware, shorten development cycles and reduce computing costs. Founded by Yonatan Geifman, Jonathan Elial, and Professor Ran El-Yaniv, Deci's team of deep learning engineers and scientists are dedicated to eliminating production-related bottlenecks across the AI lifecycle.
Media Contact
Garrett Krivicich, Deci, 972 0587860008, [email protected]
SOURCE Deci
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