At EdgeCortix, we automate the design of AI accelerators for on-device deep learning. Our Dynamic Neural Accelerator IP, and performance optimized AI Software & Hardware Co-exploration framework, reduces time to market and brings massive cost savings across multiple industry verticals.Learn More
EdgeCortix's DNA processor architecture and industry first AI hardware and software co-exploration engine enable adaptation of AI accelerator designs with focus on edge devices to operate in real-time, at significantly reduced cost, power consumption and size.
Our software stack seamlessly integrates with standard deep learning development environments, with the ability to optimize models once and deploy flexibly across existing platforms, including our AI specialized accelerator, Intel x86 architecture, Nvidia GPUs and Arm CPUs. Bringing a complete solution from efficient deep learning architecture search to edge deployment across different market segments.Ask About IP Licensing or Demo
Perception for Autonomous Vehicles, Advanced Driver Assistance Systems
Public safety, Traffic monitoring & surveillance, Video analytics
Predictive maintenance, inspection, machine vision
Intelligent assistance, voice recognition, battery optimization
Intelligent sensing & navigation, infrastructure inspection
Object tracking, security & surveillance, responsive retail advertising
Founded in 2019 in Singapore and Japan, EdgeCortix is on a mission to rethink chip design using AI driven automation, specifically geared towards multiple orders of magnitude improvement in energy-efficient, low cost, small time to market, edge devices with real-time deep learning capability.
We have the ambitious goal of enabling a distributed intelligent edge ecosystem driven by our efficient chip design, that complements a centralized cloud infrastructure. All this while keeping data private, enabling real-time compute and finally the ability to learn continuously from the real-world data. Using a novel
co-exploration framework and adaptive AI accelerator design, we achieve this by bringing innovative solutions to enterprises, and make edge devices intelligent while optimizing for memory, compute and energy while seamlessly integrating with existing AI infrastructure