About EdgeCortix

Innovation Focusing on AI Efficiency at the Edge

EdgeCortix was founded in July 2019 with the radical idea of applying a software-first approach while designing an artificial intelligence (AI) specific processor architecture from the ground up. Overcoming the fundamental mismatch between the current generation of AI software for deep neural networks and off-the-shelf hardware processors including CPUs and GPUs drives our core mission at EdgeCortix.


“To bring near cloud-level performance to all forms of devices at the edge, delivering orders of magnitude better energy efficiency and processing speed, while drastically reducing operating costs.”

We invented the Dynamic Neural Accelerator IP (DNA IP) with this mission in mind. It forms a tight coupling between today's neural networks and an underlying domain-specific hardware for seamlessly processing these networks.  Backed by our technology, our strong team and our customer-first culture, we are driven to become the world’s leading fabless semiconductor design company specializing in low-power AI system software and processor IP design focused on efficiency at the edge.

SAKURA-I PCIe Low Profile Development Card

EdgeCortix SAKURA-I is available on a PCIe Low Profile development card, ready to drop into a host for software development and AI model inference tasks.


Rethinking Edge AI Inference Technology

At EdgeCortix, we think about software flexibility and robustness first while designing the processor (hardware) architectures. Our design approach is called "hardware & software co-exploration." This is in contrast to the past several decades of processor design which concentrated on bringing a new hardware chip to market first with software, including compilers, as an afterthought.

Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like FPGAs and custom-designed ASICs, we are geared towards positively disrupting the rapidly growing need for accelerating AI inference at the edge in several application segments.


Realizing the Vision in Silicon

The SAKURA-I Energy-Efficient Edge AI Co-Processor is the first EdgeCortix product implementing the DNA IP in an ASIC. Compared with conventional GPU-based hardware, SAKURA-I provides designers significant advantages.

  • 10x Faster
  • 20x More Energy-efficient
  • High Accuracy
  • Runtime Reconfigurable
  • Highly Scalable

Business Overview:

Delivering Energy Efficient Edge Based Artificial Intelligence (AI) Acceleration

EdgeCortix commanding a lead in efficient edge AI hardware and software, as seen on:

Delivering AI Inference in Vital Application Segments

EdgeCortix's DNA IP architecture and industry-first AI hardware and software co-exploration engine enable adaptation of AI accelerator designs with focus on edge devices operating in real-time, at significantly reduced cost, power consumption and size. These core capabilities serve a range of applications in segments including automotive, smart cities, defense and aerospace, robotics, Industry 4.0, and more.

Our software stack seamlessly integrates with standard deep learning development environments. Developers can optimize models once and deploy flexibly across existing platforms, including our AI inference accelerator, Intel x86 architecture, Nvidia GPUs, and Arm CPUs. This enables smooth workflows and easier development of complete solutions for efficient deep learning in many applications.

Finding threats, raising situational awareness, and making vehicles smarter
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Robotics & Drones
Improving flexibility, reducing time-to-productivity, and simplifying programming
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Smart Manufacturing
Creating breakthroughs in configurability, efficiency, accuracy, and quality
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Smart Cities
Keeping people and vehicles flowing, saving energy, enhancing safety and security
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Automotive Sensing
Helping drivers see their surroundings, avoid hazards, and ease into self-driving vehicles
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It’s time for better edge AI hardware, IP, and software technology


Given the tectonic shift in information processing at the edge, companies are now seeking near cloud level performance where data curation and AI driven decision making can happen together. Due to this shift, the market opportunity for the EdgeCortix solutions set is massive, driven by the practical business need across multiple sectors which require both low power and cost-efficient intelligent solutions. Given the exponential global growth in both data and devices, I am eager to support EdgeCortix in their endeavor to transform the edge AI market with an industry-leading IP portfolio that can deliver performance with orders of magnitude better energy efficiency and a lower total cost of ownership than existing solutions."

Akira Takata
Former CEO of MegaChips Corporation

Improving the performance and the energy efficiency of our network infrastructure is a major challenge for the future. Our expectation of EdgeCortix is to be a partner who can provide both the IP and expertise that is needed to tackle these challenges simultaneously."

Ryuji Wakikawa
Head, Research Institute of Advanced Technology at SoftBank Corp

With the unprecedented growth of AI/Machine learning workloads across industries, the solution we're delivering with leading IP provider EdgeCortix complements BittWare's Intel Agilex FPGA-based product portfolio. Our customers have been searching for this level of AI inferencing solution to increase performance while lowering risk and cost across a multitude of business needs both today and in the future."

Craig Petrie
VP, Sales and Marketing at BittWare

EdgeCortix is in a truly unique market position. Beyond simply taking advantage of the massive need and growth opportunity in leveraging AI across many business key sectors, it’s the business strategy with respect to how they develop their solutions for their go-to-market that will be the great differentiator. In my experience, most technology companies focus very myopically, on delivering great code or perhaps semiconductor design. EdgeCortix’s secret sauce is in how they’ve co-developed their IP, applying equal importance to both the software IP and the chip design, creating a symbiotic software-centric hardware ecosystem, this sets EdgeCortix apart in the marketplace.”

President & CEO of Trust Capital Co., Ltd., member of the Executive Committee of Silicon Valley Japan Platform

We recognized immediately the value of adding the MERA compiler and associated tool set to the RZ/V MPU series, as we expect many of our customers to implement application software including AI technology. As we drive innovation to meet our customer's needs, we are collaborating with EdgeCortix to rapidly provide our customers with robust, high-performance and flexible AI-inference solutions. The EdgeCortix team has been terrific, and we are excited by the future opportunities and possibilities for this ongoing relationship."

Shigeki Kato
Vice President, Enterprise Infrastructure Business Division