$BRCHF ripping 10% today Neuromorphic AI chip leader waking up hard as Akida ecosystem expands. Just partnered with MulticoreWare, P-Product & BeEmotion.ai to flood the market with optimized Akida AKD1500 edge AI models. New Radar Reference Platform dropping for defense/security use cases. Ultra-low power event-based AI vs bloated GPUs — this is the edge narrative heating up. #BRCHF #Akida #NeuromorphicAI

$BRN BrainChip commercialisation map is getting real. Not hype — here are the publicly visible contracts, orders, licences & partnerships I found: Neuromorphyx / Nex Novus ✅ Strategic customer go-to-market partner ✅ Initial order: 1,200 AKD1500 chips ✅ Vision NeuroNode / NeuroBlocks / NeuroHive edge-AI platform $PSN Parsons / Blue Ridge Envisioneering ✅ Multi-year strategic agreement ✅ Akida processors to be integrated into defense & intelligence edge-AI systems ✅ Access to AKD1500 BrainChip AI Enablement Package Raytheon / $RTX ✅ Partner on AFRL neuromorphic radar contract ✅ Focus: micro-Doppler radar signal processing mapped onto neuromorphic chips EDGEAI ✅ Global, non-exclusive Akida 2 IP licence ✅ Initial target: next-gen smart / rapid metering SoCs ✅ Milestone payments royalties reported by market sources ASICLAND ✅ IP distribution licence ✅ ASICLAND can integrate Akida IP into customer SoC designs, subject to BrainChip approval Frontgrade Gaisler ✅ Akida IP licence ✅ Space-grade microprocessors with neuromorphic AI capability MegaChips ✅ Akida IP licence / strategic partnership ✅ ASIC route into industrial, automotive, IoT, cameras, robotics, drones, medical & security markets MicroIP ✅ Strategic ecosystem partnership ✅ Hardware, software, ML model and ASIC design collaboration around Akida MulticoreWare / P-Product / BeEmotion. ai ✅ Strategic software partners ✅ Building and optimizing ML models for AKD1500 Prophesee ✅ Event-based vision partnership ✅ Neuromorphic sensor Akida edge inference combination Edge Impulse ✅ Developer ecosystem partnership ✅ Faster ML deployment on Akida for edge AI developers SiFive ✅ RISC-V Akida collaboration ✅ Optimized AI/ML compute for chip designers at the edge HaiLa Technologies ✅ Ultra-low-power wireless connectivity Akida edge AI demo for IoT sensors AkidaTag / Akida Cloud / M.2 / Edge AI Box ✅ Product ecosystem expanding beyond pure IP ✅ Easier developer access, benchmarking, prototyping and field testing The key point: BrainChip is no longer just “research neuromorphic AI.” It now has: • chip orders • IP licence deals • defense partnerships • space-grade licensing • ASIC distribution channels • developer tools • software ecosystem partners • AKD1500 production targeted for Q3 2026 The real test now is simple: convert this ecosystem into material revenue, royalties and repeat orders. But at today’s valuation, the market is still pricing $BRCHF like commercialisation has not started. I think that disconnect is exactly where the opportunity is.

$BRCHF ripping 8% today on strong volume! BrainChip’s neuromorphic edge AI momentum is heating up fast — AKD1500 ecosystem expanding with key software partners (MulticoreWare, P-Product, BeEmotion.ai) accelerating “Akida-ready” models for ultra-low power AI. Radar Reference Platform live, defense & robotics applications gaining traction, volume production targeted late 2026. The low-power neuromorphic story is waking up big time — continuation in play! #BRCHF #AI #Neuromorphic #EdgeAI #AKD1500 #TBHQ

BrainChip / $BRCHF is no longer just a “research AI company.” BrainChip is building a rapidly expanding Edge AI commercialization ecosystem across defense, radar, automotive, aerospace, industrial AI, and embedded computing. Recent momentum includes partnerships, integrations, evaluations, or deployments with: 🛡️ RTX / Raytheon 🛰️ AFRL (US Air Force Research Laboratory) 🚀 Frontgrade Gaisler 📡 ForwardEdge ASIC (Lockheed ecosystem) 🚗 Tata Elxsi 🏭 VVDN Technologies ⚙️ ASICLAND 🌐 Edge Impulse 🧠 IBM HPC/AI ecosystem discussions ☁️ DigiKey distribution 🤖 MulticoreWare 🔬 P-Product 🎭 BeEmotion ai 🛰️ Space Machines Company 💻 Unigen ⚡ MegaChips And 2026 roadmap catalysts keep building: ✅ AKD1500 production ramp ✅ AKD2500 roadmap ✅ Radar & defense reference platforms ✅ Expanding software ecosystem ✅ Edge AI commercialization push ✅ ~AUD 38M bookings target over 3 years Current revenue is still only ~AUD 2–3M annually. If commercialization converts successfully, BrainChip could evolve from a niche neuromorphic AI company into a major Edge AI platform player. Low-power AI without relying on the cloud is becoming strategically critical for: 🚗 Automotive 📡 Radar 🪖 Defense 🏭 Industrial systems 🛰️ Aerospace Commercialization phase is in progress…

#BrainChip is proud to welcome three strategic software partners who are joining forces to develop and optimize advanced machine learning models for the #Akida #AKD1500 processor. > BeEmotion.ai > MulticoreWare Inc > P-Product, Inc bit.ly/4dxBOQy

Let’s go! Great work team.

Big news! We are welcoming @MulticoreWare, @PProduct2006, and BeEmotion.ai as strategic software partners to develop and optimize advanced ML models for the AKD1500.   More partners. More models. More power at the edge 🔥  🔗 bit.ly/3Pt34ay

🚀 $BRCHF #BrainChip is no longer building just a chip — it is building an entire #EdgeAI ecosystem around Akida. Today’s strategic software partnership expansion could be far more important than many realize. New ecosystem partners include: 🔹 MulticoreWare — advanced AI software optimization & deployment 🔹 P-Product — embedded AI and intelligent edge solutions 🔹 BeEmotion.ai — emotion-aware AI & real-time inference systems 🔹 Klepsydra Technologies — high-performance runtime software for aerospace, defense & autonomous systems The Klepsydra partnership especially stands out: ✅ Heterogeneous AI runtime for ARM, RISC-V, x86 & Akida ✅ Designed for aerospace, drones, defense & robotics ✅ Focus on ultra-low power AI at the edge ✅ Goal of massively improving real-world deployment efficiency This addresses one of BrainChip’s biggest historical challenges: ➡️ ecosystem integration & deployability. 2026 catalysts continue building: 🔥 AKD1500 production silicon expected Q3 2026 🔥 Multiple AI licensing deals signed this year 🔥 Expansion into defense, industrial AI, drones & smart edge systems 🔥 Growing semiconductor IP & royalty model The story is evolving from: “interesting neuromorphic AI technology” to “deployable edge AI ecosystem.” If ultra-efficient AI becomes critical for autonomous systems, defense and next-gen edge computing, Akida may be positioned years ahead of the curve. 👀

Just try any semiconductor company? AMD, Nvidia, Intel, Qualcomm, Samsung… smaller companies like RRLogic, Sandlogic, Blackfig, CDAC, Multicoreware, Morphing Machines. Also companies like Google, IBM etc. There’s thousands of people working on systems in Bangalore alone.

Whitepaper - Scaling Edge AI: Hardware and Software from Prototype to Deployment A collaborative group of experts from Embedded Industry leaders @AMD, @Advantech_USA, @MulticoreWare, and @WPGAmericas will outline the strategies, skills, and solutions that today’s working engineers and developers need to design, implement, and integrate AI at the Edge applications that will transform and scale their businesses. #EdgeAI #AI embeddedcomputing.com/techno…

With partners like MulticoreWare, Qualcomm technology enables scalable testing and optimization on @Snapdragon Digital Chassis systems—accelerating development while ensuring production‑ready performance.

At CES 2026, we demonstrated a real-time cloud-to-car AI workflow, showcasing how ADAS models can be validated, tested, and optimized in the cloud before deployment to vehicles. Read press release: multicorewareinc.com/news/mu… #CES2026 #CloudToCar #ADAS #Qualcomm #MulticoreWare

セーフティ・クリティカル対応Open AD Kitデモ：安全性が求められる車載システムにおいて重要となるミックスド・クリティカル・オーケストレーションをサポートするSOAFEEの拡張機能を備えた最新のOpen AD Kitを紹介します。本デモは、Arm、Corellium、Excelfore、Multicorewareとのパートナーシップのもと、AWFが開発したフェイルセーフ・最小リスク操作（Minimum Risk Maneuver：MRM）自動運転ユースケースを用いて行われます。

Edge AI at Scale: Taking Your Hardware & Software from Prototype to Deployment 🗓️TOMORROW, October 22nd, 2PM ET In this webinar, a complete ecosystem of industry leaders—AMD, Advantech, MulticoreWare, and WPG Americas—will outline a practical framework for making Edge AI accessible and scalable. Register NOW! resources.embeddedcomputing.…

Edge AI at Scale: Taking Your Hardware & Software from Prototype to Deployment 🗓️October 22nd, 2PM ET In this webinar, a complete ecosystem of industry leaders—AMD, Advantech, MulticoreWare, and WPG Americas—will outline a practical framework for making Edge AI accessible and scalable. Register NOW! resources.embeddedcomputing.…

First off, let me clarify some things just in case: - I don't work at Netflix, I work at a CDN - My experience with AV1 and encoding in general is mainly with "enthusiast encoding groups" working on cutting edge and sometimes experimental AV1 encoding techniques, and I interact with SVT-AV1 devs regularly. I also work with the wiki.x266.mov encoding community wiki - I am biased to Alliance of Open Media stuff and libre codecs (AV1, VP9, VP8, Opus, webm, mkv, etc) because of their free and freedom use. So I don't really like MPEG group much Now to your question: This is a bit hard to answer fully, cause frankly VVC is non-existent, even in experiments (for multiple reasons) The current sentiment of VVC vs AV1 is that it provides around 15% improvement in bitrate efficiency however it looks more vaseline/smoothed. It near completely removes film grain and fine textures and smears AV1 kind of did this too when it first came out but a lot of tuning went into encoding params for it over time by the community and encoder devs. There are quite a few major AV1 encoder projects. For the past 2 years we can encode AV1 movies on par with any HEVC technique The first usable public/open VVC encoder, VVenC only came out a year ago. It is incredibly slow to encode with. One of our group managed to encode the Oppenheimer movie (shown in pic) in VVC. It took an entire month, and then some, to complete (on a VPS) The x266 encoder is 2 years behind expected release frame and currently we don't know if MultiCoreWare has abandoned the project Currently only MediaTek Pentonic SoC TVs have support for VVC decoding and those have been released since 2021 along side AV1 at the same time. Beyond that, HW decoder support is non-existent. And since software decoding VVC is quite heavy compared to AV1, it's also not viable to stream out. Though encoding with it is quite a challenge ATSC 3.0 supports VVC but I don't see it being utilized any time soon Additionally, because VVC is license encumbered like HEVC is, no company actually wants to pick it up. AOMedia's member list is huge and basically includes every major tech company The AV2 spec is being released in December and I wouldn't be surprised if AV2 gets wider adoption before VVC Intel even put VVC decoding in their GPUs for Lunar Lake. And then removed it for Battlemage. If Panther Lake, with Xe3 has it, maybe they were just lazy, but they put an entire major GPU gen out removing/excluding a significant video decoder engine

Edge AI at Scale: Taking Your Hardware & Software from Prototype to Deployment 🗓️October 22nd, 2PM ET In this webinar, a complete ecosystem of industry leaders—AMD, Advantech, MulticoreWare, and WPG Americas—will outline a practical framework for making Edge AI accessible and scalable. Register NOW! resources.embeddedcomputing.…

Traditional student performance tracking is slow, resource-heavy, and delays critical interventions. Know more: multicorewareinc.com/ai-powe… #AI #Education #PersonalizedLearning #EdTech #AIinEducation #MulticoreWare

We are excited to share that Selventhiran Rengaraj, Solutions Architect, will be speaking at AutowareCon on September 10th at 1:45 PM JST. #AutowareCon #AutonomousDriving #ADAS #BEV #AI #Perception #Innovation #Autoware #MulticoreWare

For @MulticoreWare, it wasn’t just about an HR platform-it was about the right fit. With Zoho People’s flexibility & pricing, they customized appraisals around work anniversaries instead of one-size-fits-all reviews. 🙌 Read more: zurl.co/G9KHN #CustomerSuccessStory