Solving
Physical AI

Challenges

Akida delivers a sensor-agnostic,
host-flexible solution
that enables real-time
detection, classification, and understanding
in the physical world.

Where Akida Makes a Difference

Human-to-Machine Interface

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Unlock the Full Benefits of Sparsity and Efficiency

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AI Acceleration Processor

IP

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Akida
Development

Tools

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Ready-to-Use Neural Network

Models

AI
Acceleration

Chips

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Unlock the Full Benefits of Sparsity and Efficiency.

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AI Acceleration Processor

IP

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Akida
Development

Tools

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Ready-to-Use Neural Network

Models

AI
Acceleration

Chips

The Technology Behind Streaming AI

on a Fraction of the Power

BrainChip’s AkidaTM processor IP uses sparsity to focus on the most important data, inherently avoiding unnecessary computation and saving energy at every step.

BrainChip’s Neural Network Model, Temporal Event-based Neural Networks (TENNsTM), builds on a state-space model architecture to track events over time instead of sampling at fixed intervals, skipping periods of no change to save energy and memory.

Together, they deliver unmatched efficiency for real-time AI.

Universities

> Learn by becoming an intern or through our university program.

What Innovators Are Saying


“BrainChip’s cutting-edge neuromorphic technology is paving the way for the future of artificial intelligence, and Drexel University recognizes its immense potential to revolutionize numerous industries. We have experienced that neuromorphic compute is easy to use and addresses real-world applications today. We are proud to partner with BrainChip and advancing their groundbreaking technology, including TENNs and how it handles time series data, which is the basis to address a lot of complex problems and unlocking its full potential for the betterment of society.”

said Anup Das, Associate Professor, and Nagarajan Kandasamy, Associate Department Head of Electrical and Computer Engineering at Drexel University

“By integrating BrainChip’s Akida technology, we’re pushing the boundaries of what’s possible in AI and IoT. This collaboration isn’t just about technology, it’s about creating real-world solutions, like our neuromorphic seizure prediction glasses, that make a meaningful impact,”

said Maadh Al Hinaai, CEO of Onsor Technologies.

“Together with BrainChip, we evaluated the Akida IP and decided that the next step of licensing it would beneficially augment our future space processors with neuromorphic AI.”

said Sandi Habinc, General Manager of Frontgrade Gaisler.


“We have proven the efficacy of using BrainChip’s Akida neuromorphic chip to implement some of the most challenging real-time radar/EW signal processing algorithms,”

said Dr. Joseph R. Guerci, ISL President and CEO.


“Working with BrainChip and incorporating their Akida technology into our ASIC solutions service, we are better able to handle the development and support processes needed to design and manufacture integrated circuits and systems on chips that can take advantage of AI at the Edge.”

said Tetsuo Hikawa, President and CEO of MegaChips.


“Generative AI and LLMs at the Edge are key to intelligent situational awareness in verticals from manufacturing to healthcare to defense.Disruptive innovation like BrainChip TENNs built on the foundation of neuromorphic principles, can deliver compelling solutions in ultra-low power, small form factor devices at the Edge, without compromising accuracy.”

Jean-Luc Chatelain, MD at Verax Capital Advisors, former MD and Global CTO at Accenture Applied Intelligence


“Multimodal Edge AI is an irreversible trend, and it is intensifying the demands on intelligent compute required from Edge devices. We’re excited that the 2nd Generation Akida addresses the critical elements of performance, efficiency, accuracy, and reliability needed to accelerate this transition. Most importantly, BrainChip has been a strategic partner that has collaborated closely with Edge Impulse to make their solutions easy to integrate, develop and deploy to the market.”

Zach Shelby, Co-Founder and CEO at Edge Impulse


“BrainChip and its unique digital neuromorphic IP have been part of IFS’ Accelerator IP Alliance ecosystem since 2022. We are keen to see how the capabilities in Akida’s latest generation offerings enable more compelling AI use cases at the edge”

Suk Lee, Vice President of Design Ecosystem Development at Intel Foundry Services


“At Prophesee, we are driven by the pursuit of groundbreaking innovation addressing event-based vision solutions. Combining our highly efficient neuromorphic-enabled Metavision sensing approach with BrainChip’s Akida neuromorphic processor holds great potential for developers of high performance, low-power Edge AI applications. We value our partnership with BrainChip and look forward to getting started with their 2nd generation Akida platform, supporting vision transformers and TENNs.”

Luca Verre, Co-Founder and CEO at Prophesee


“BrainChip has some exciting upcoming news and developments underway. Their 2nd generation Akida platform provides direct support for the intelligence chip market, which is exploding. IoT market opportunities are driving rapid change in our global technology ecosystem, and BrainChip will help us get there.”

Daniel Mandell, Director at VDC Research


“Integration of AI Accelerators, such as BrainChip’s Akida technology, has application for high-performance RF, including spectrum monitoring, low-latency links, distributed networking, AESA radar, and 5G base stations. A leader in small form factor, low power SDR technology.”

John Shanton, CEO at Ipsolon Research


“Through our collaboration with BrainChip, we are enabling the combination of SiFive’s RISC-V processor IP portfolio and BrainChip’s 2nd generation Akida neuromorophic IP to provide a power-efficient, high capability solution for AI processing on the Edge. Deeply embedded applications can benefit from the combination of compact SiFive Essential™ processors with BrainChip’s Akida-E, efficient processors; more complex applications including object detection, robotics, and more can take advantage of SiFive X280 Intelligence™ AI Dataflow Processors tightly integrated with BrainChip’s Akida-S or Akida-P neural processors.”

Phil Dworsky, Global Head of Strategic Alliances at SiFive


“Edge Impulse is thrilled to collaborate with BrainChip and harness their groundbreaking neuromorphic technology. Akida’s 2nd generation platform adds TENNs and Vision Transformers to a strong neuromorphic foundation. That’s going to accelerate the demand for intelligent solutions. Our growing partnership is a testament to the immense potential of combining Edge Impulse’s advanced machine learning capabilities with BrainChip’s innovative approach to computing. Together, we’re forging a path toward a more intelligent and efficient future.”

Zach Shelby, Co-Founder and CEO at Edge Impulse


“Ai Labs is excited about the introduction of BrainChip’s 2nd generation Akida neuromorphic IP, which supports TENNs. This will enable high-end vision and multi-sensory capability devices to scale rapidly. Together, Ai Labs and BrainChip will support our customers’ needs to address complex problems. Improving development and deployment for industries such as manufacturing, oil and gas, power generation, and water treatment, preventing costly failures and reducing machine downtime.”

Bhasker Rao, Founder at Ai Labs


“We licensed Akida neural processors because of their unique neuromorphic approach to bring hyper-efficient acceleration for today’s mainstream AI models at the edge. With the addition of advanced temporal convolution and vision transformers, we can see how low-power MCUs can revolutionize vision, perception, and predictive applications in a wide variety of markets like industrial and consumer IoT and personalized healthcare, just to name a few. “

Roger Wendelken, Senior Vice President at Renesas’ IoT and Infrastructure Business Unit


“We see a growing number of predictive industrial (including HVAC, motor control) or automotive (including fleet maintenance), building automation, remote digital health equipment and other AIoT applications use complex models with minimal impact to product BOM and need faster real-time performance at the Edge. BrainChip’s ability to efficiently handle streaming high frequency signal data, vision, and other advanced models at the edge can radically improve scale and timely delivery of intelligent services.”

Nalin Balan, Head of Business Development at Reality AI, a Renesas company


“Advancements in AI require parallel advancements in on-device learning capabilities while simultaneously overcoming the challenges of efficiency, scalability, and latency. BrainChip has demonstrated the ability to create a truly intelligent edge with Akida and moves the needle even more, in terms of how Edge AI solutions are developed and deployed. The benefits of on-chip AI from a performance and cost perspective are hard to deny.”

Richard Wawrzyniak, Principal Analyst at Semico Research

“BrainChip’s cutting-edge neuromorphic technology is paving the way for the future of artificial intelligence, and Drexel University recognizes its immense potential to revolutionize numerous industries. We have experienced that neuromorphic compute is easy to use and addresses real-world applications today. We are proud to partner with BrainChip and advancing their groundbreaking technology, including TENNS and how it handles time series data, which is the basis to address a lot of complex problems and unlocking its full potential for the betterment of society.”

Anup Das, Associate Professor and Nagarajan Kandasamy, Associate Department Head of Electrical and Computer Engineering at Drexel University