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BrainChip
Computer Hardware Manufacturing
Laguna Hills, California 38,879 followers
On-Device Edge AI, 100x more efficient.
About us
BrainChip is the worldwide leader in neuromorphic Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition and processing data with unmatched efficiency, precision, and energy economy. BrainChip’s Temporal Event-based Neural Networks (TENNs) build on State-Space Models (SSMs) with time-sensitive, event-driven frameworks that are ideal for real-time streaming applications. These innovations make low-power Edge AI deployable across industries such as aerospace, autonomous vehicles, robotics, industrial IoT, consumer devices, and wearables. BrainChip is advancing the future of intelligent computing, bringing AI closer to the sensor and closer to real-time.
- Website
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https://brainchip.com/
External link for BrainChip
- Industry
- Computer Hardware Manufacturing
- Company size
- 51-200 employees
- Headquarters
- Laguna Hills, California
- Type
- Public Company
- Founded
- 2013
- Specialties
- Neuromorphic networks, Artificial Intelligence, Neural models, Neural networks, Technology engineering, machine learning, Edge LLM, SLMs, neuromorphics, edge AI, radar, cybersecurity, video tracking, machine learning, voice processing, state space models, state space neural networks, semiconductor IP licensing , semi IP, edge AI IP, and AI/ML
Locations
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Primary
Get directions
23041 Avenida de la Carlota
Laguna Hills, California 92653, US
Employees at BrainChip
Updates
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Activation sparsity is one of the most powerful efficiency levers in edge AI and Ali breaks down exactly why it matters and where it is headed. If you are working in deep learning, embedded AI, or edge hardware, this is worth your time. 🧠 Check out ali kayyam's full whitepaper below 👇 https://bit.ly/4t0R8ux Really proud of the work ali kayyam has put into this 🙌 #AI #DeepLearning #NeuromorphicComputing #ActivationSparsity #EdgeAI #BrainChip
Something I have been working on at BrainChip that I am really proud of is now out 🙌 As AI models grow in size and complexity, efficiency is becoming just as critical as accuracy. One of the most powerful ways to get there is activation sparsity. By exploiting the fact that only a fraction of neurons need to be active at any given time, you can dramatically reduce compute, memory access, energy consumption, and latency without sacrificing performance. For edge AI where power constraints are non-negotiable, this is a game changer 🔥 Not brute-force compute, but smarter, more biologically inspired efficiency. This is where AI acceleration is heading Full whitepaper is linked below, curious what the community thinks 👇 https://bit.ly/4eHm7bs #AI #DeepLearning #NeuromorphicComputing #ActivationSparsity #EdgeAI #ComputeEfficiency #BrainChip #SustainableAI
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Most wearables and IoT devices today are still sending data to the cloud to think. Every inference. Every decision. Sent to a server and back🤔 That means battery drain, latency, and privacy risks built into the device by design. At BrainChip we have been obsessing over a better way. That is exactly why we built AkidaTag and Akida Pico. Always-on, on-device intelligence at battery level power. No cloud required. 🧠 Come see them at the Edge AI Foundation Pavilion at Sensors Converge👀 📅 May 5 to 7 · Booth 925 · EDGE AI FOUNDATION Pavilion · Santa Clara Convention Center #SensorsConverge #EdgeAI #Wearables #BrainChip #AkidaTag #AkidaPico #Neuromorphic #OnDeviceLearning #AIHardware
We're excited to welcome BrainChip to #SensorsConverge in Santa Clara! Looking forward to meeting the BrainChip team this May 5-7, 2026. Learn more: https://loom.ly/emc59Ak Register now and join us next month. https://loom.ly/L1clL-A #Sensorsconverge #sensingsolutions #sensortechnology #sensordata #semiconductordesign
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Microelectronics Global US 2026 is a wrap! 🤩 What an incredible few days in Austin. The conversations on the floor were electric and the response to everything we brought was something else 🔥 Here is what we showcased: 🧠 AkidaTag — always-on, on-device learning for wearables. No cloud required. 📡 Radar Reference Platform — real-time Micro-Doppler AI classification on traditional radar. Built for defense and autonomous systems. 👁️ Vision Perception — real-time AI visual intelligence at the edge. And for the very first time ever we publicly debuted our IBM Symphony + Akida Heterogeneous Computing Bundle. 🚀 GPU and neuromorphic workloads running together. Up to 90% lower power. No cloud. No compromise. This was a big milestone for us and we are just getting started 👀 Thank you to everyone who stopped by! 👋 #Microelectronics #EdgeAI #Neuromorphic #BrainChip #Akida #AkidaTag #RadarAI #DefenseTech #IBMSymphony #HeterogeneousComputing
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We took the stage at the EDGE AI FOUNDATION Generative Edge AI Forum 🤩 Our Solutions Architect, Ritik Shrivastava, presented something we have been working on for a while and are incredibly excited to share with the community. Running Generative AI Locally: An Open SSM Model for Edge Devices. 🔬 Why SSM and not transformers? Unlike transformers, our SSM-based model has a constant size state that does not grow with context length. Less memory movement. Less power. Generative AI that actually works on edge hardware. Missed it live? Watch the recording now 👇 https://bit.ly/4tZN8Ly #EdgeAI #GenerativeAI #BrainChip #SSM
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AkidaTag will be at Sensors Converge 2026! 🧠 Come see a real, physical working AkidaTag at Booth 925 in the Edge AI Foundation Pavilion. A complete reference platform delivering personalized, battery-powered intelligence for wearables and smart devices. Always-on. Self-on-device learning. Privacy-first. No cloud. No compromise 🔋 Bring your colleagues and come meet the BrainChip team! 📅 May 5–7, 2026 📍 Santa Clara Convention Center, Santa Clara, CA #SensorsConverge #EdgeAI #Neuromorphic #BrainChip #AkidaTag #Wearables #sensingsolutions #sensortechnology #sensordata #semiconductordesign
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Radar detects. Akida classifies 🎯 Traditional radar can tell you something is there. It cannot tell you what it is. That gap between detection and understanding is exactly where BrainChip's Radar Reference Platform steps in. In our latest technical deep dive, Samir Jaber breaks down how micro-Doppler signatures act as a fingerprint for aerial objects, and how the Akida AKD1500 can classify drones, birds, and debris in real time at under 2W, with zero cloud dependency. The result: radar that doesn't just see, it understands. 📖Read the full blog: https://bit.ly/4trLhQ7 🔗 Learn More: https://bit.ly/48PtBFB #NeuromorphicAI #EdgeAI #Radar #DroneDetection #UAV #DefenseTech #Akida #BrainChip #PhysicalAI #EmbeddedAI
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Missed our live radar AI webinar? The recording is now available. 🎬 Watch the recording here: https://bit.ly/4mFkpJz #EdgeAI #Radar #Neuromorphic #BrainChip #Akida #DefenseTech #AutonomousSystems
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We are LIVE now! 🔴 Join us for our Akida Radar Reference Platform webinar and see Micro-Doppler AI classification running in real time on device. 👉 Join Now!
In case you missed it — we're going live next week and you won't want to sit this one out 🔔 Traditional radar sees the threat. It just can't identify it. BrainChip's Radar Reference Platform can. Join us for a live demonstration of Micro-Doppler classification running in real time on device. No cloud. No latency. No guesswork. 📅 April 20 · 8:00 AM PT. Register now!