BRN Discussion Ongoing

[manny100]

Apologies if posted already

https://www.businesswire.com/news/home/20260102430038/en/MetaGuard-AI-Debuts-Defense-Grade-Cybersecurity-Platform-at-CES-2026-with-Industry-First-Full-Source-Code-Access-and-BrainChip-Neuromorphic-Support?utm_campaign=shareaholic&utm_medium=linkedin&utm_source=socialnetwork

MetaGuard AI Debuts Defense-Grade Cybersecurity Platform at CES 2026 with Industry-First Full Source Code Access and BrainChip Neuromorphic Support | Aaron Goldberg

Pleased to be demonstrating the power of our IoT Network Intrusion Detection software on Brainchip’s Akida Edge Box at CES next week!

www.linkedin.com

View attachment 94013

MetaGuard being commercially available now and Defence grade is further validation of our product and definitely will have a positive effect on our portfolio safety net value.
The CES26 demos are happening inside our own allocated space, which positions us as a 'big'player in neuromorphic cybersecurity.
Its also a signal that our commercial reach is growing.
Fortunately the cybersecurity market is growing rapidly and our defense wide connections will only add further credibility to our products.
The big advantage this new system has that most AI security are Blackbox systems (as are traditional AI Provenance systems) - that is a huge advantage for us. Once we get Provence software on the shelf Provenance will make it a must have.

 

[Space Cadet]

Little confusing. Nearly 2 years to go, yet we are ready to demo with frontgrade now?

We knew about Rapidity Space but ESA still evaluating GR801 until Nov 2027?

Hopefully more like evaluating what use cases it can be used for!

https://esaphilab.se/vaias-project/

SC

 

[Jacob Kiraz]

Can someone with knowledge of this sector, Is NVU and BRN in the same field and competing against each other

 

[manny100]

Little confusing. Nearly 2 years to go, yet we are ready to demo with frontgrade now?

We knew about Rapidity Space but ESA still evaluating GR801 until Nov 2027?

Hopefully more like evaluating what use cases it can be used for!

https://esaphilab.se/vaias-project/

SC-

It is confusing. GRAIN is the name of the project and everything falls under that. The GR801 chip was its first chip and was/is fully commercial.
The VAIAS project falls under the GRAIN project (everything does).
The original GR801 chip was commercial in the sense it was available for sale to research labs, universities, early adopters etc but it was not yet fully commercial in the sense that it was not qualified for actual space travel - hence the VAIAS project to get the qualification.
Pretty much standard practice in the industry. If chip makers waited for full commercial space qualification pretty much nothing would ever leave the ground.
Its confusing for sure.
Its amazing how long these project take. Even Autos when they are 'very' neuromorphic and the roads full of them people would not believe the concept was first introduces maybe 7, 8 or 9 years ago.
I guess that is why the BRN rush is currently on wearables and defense with wearables likely the quickest.

Frontgrade Gaisler Licenses BrainChip Akida IP to Power AI in Space

Frontgrade Gaisler partners with BrainChip to integrate Akida IP, enabling advanced AI chip deployment for reliable, low-power processing in space missions.

brainchip.com

Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications | Gaisler

The Swedish National Space Agency (SNSA) has awarded us a contract to commercialize the first neuromorphic System on Chip (SoC) device for space applications.

www.gaisler.com

The Frontgrade licence was granted in Dec'24 and the VAIAS project funded by Sweden announced in Dec'25.

 

[Fullmoonfever]

It is confusing. GRAIN is the name of the project and everything falls under that. The GR801 chip was its first chip and was/is fully commercial.
The VAIAS project falls under the GRAIN project (everything does).
The original GR801 chip was commercial in the sense it was available for sale to research labs, universities, early adopters etc but it was not yet fully commercial in the sense that it was not qualified for actual space travel - hence the VAIAS project to get the qualification.
Pretty much standard practice in the industry. If chip makers waited for full commercial space qualification pretty much nothing would ever leave the ground.
Its confusing for sure.
Its amazing how long these project take. Even Autos when they are 'very' neuromorphic and the roads full of them people would not believe the concept was first introduces maybe 7, 8 or 9 years ago.
I guess that is why the BRN rush is currently on wearables and defense with wearables likely the quickest.

Frontgrade Gaisler Licenses BrainChip Akida IP to Power AI in Space

Frontgrade Gaisler partners with BrainChip to integrate Akida IP, enabling advanced AI chip deployment for reliable, low-power processing in space missions.

brainchip.com

Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications | Gaisler

The Swedish National Space Agency (SNSA) has awarded us a contract to commercialize the first neuromorphic System on Chip (SoC) device for space applications.

www.gaisler.com

The Frontgrade licence was granted in Dec'24 and the VAIAS project funded by Sweden announced in Dec'25.

This is the project outline if not posted previously.

https://www.vinnova.se/en/p/vaias---validation-of-an-ai-accelerator-for-space/

VAIAS - Validation of an AI Accelerator for Space​

Reference number	2025-02991
Coordinator	Frontgrade Gaisler AB
Funding from Vinnova	SEK 2 400 000
Project duration	November 2025 - November 2027
Status	Ongoing
Venture	6G - Infrastructure
Call	ESA Phi-Lab Sweden: Edge AI in space

Purpose and goal​

The project addresses a growing market for energy-efficient, fault-tolerant onboard AI computing capable of replacing ground-based processing/power-hungry accelerators ill-suited for space environments. GR801 combines Brainchip Akida IP with Frontgrade Gaisler NOELV fault-tolerant CPU, to deliver reliable inference at the edge in space. The project objectives are two key commercialization enablers: radiation validation of GR801 and AI S/W ecosystem and neuromorphic demonstrator by Rapidity Space

Expected effects and result​

The project will deliver a GR801 component validated for space environments and also extensions to the AI SW eco-system. The intended impact is to increase autonomy in European space systems, energy-efficient space missions, support for emerging AI-at-the-edge applications, and potential spillover into adjacent domains such as climate monitoring and robotics. This will contribute to AI hardware and software innovations and accelerating the transition of AI edge computing from lab to orbit.

Planned approach and implementation​

Frontgrade Gaisler will start with a preparatory study in WP1 on use cases and customer intelligence. The results will act as a basis for work packages WP4 and WP5 where the project will focus on the ecosystem around AI software and neuromorphic sensing/computing. WP1 will be carried out by Frontgrade Gaisler and the results will be transferred to Rapidity Space which carries out WP4 and WP5. In parallel, validation of the GR801 will be performed by Frontgrade Gaisler in WP2 and WP3.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.

 

[Diogenese]

It is confusing. GRAIN is the name of the project and everything falls under that. The GR801 chip was its first chip and was/is fully commercial.
The VAIAS project falls under the GRAIN project (everything does).
The original GR801 chip was commercial in the sense it was available for sale to research labs, universities, early adopters etc but it was not yet fully commercial in the sense that it was not qualified for actual space travel - hence the VAIAS project to get the qualification.
Pretty much standard practice in the industry. If chip makers waited for full commercial space qualification pretty much nothing would ever leave the ground.
Its confusing for sure.
Its amazing how long these project take. Even Autos when they are 'very' neuromorphic and the roads full of them people would not believe the concept was first introduces maybe 7, 8 or 9 years ago.
I guess that is why the BRN rush is currently on wearables and defense with wearables likely the quickest.

Frontgrade Gaisler Licenses BrainChip Akida IP to Power AI in Space

Frontgrade Gaisler partners with BrainChip to integrate Akida IP, enabling advanced AI chip deployment for reliable, low-power processing in space missions.

brainchip.com

Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications | Gaisler

The Swedish National Space Agency (SNSA) has awarded us a contract to commercialize the first neuromorphic System on Chip (SoC) device for space applications.

www.gaisler.com

The Frontgrade licence was granted in Dec'24 and the VAIAS project funded by Sweden announced in Dec'25.

Hi Manny,

My money is on the cyberNeuro RT Akida Edge Box to be first cab off the rank.(I was going to say CNRT is waymo likely to be the first cab, but I thought better of it). CNRT is an existing hardware product the Edge Box) and the models would be derived from pre-existing QV data.

I'm assuming that Onsor will need FDA-type approval before it can be sold as a medical device.

 

[Diogenese]

This is the project outline if not posted previously.

https://www.vinnova.se/en/p/vaias---validation-of-an-ai-accelerator-for-space/

VAIAS - Validation of an AI Accelerator for Space​

Reference number	2025-02991
Coordinator	Frontgrade Gaisler AB
Funding from Vinnova	SEK 2 400 000
Project duration	November 2025 - November 2027
Status	Ongoing
Venture	6G - Infrastructure
Call	ESA Phi-Lab Sweden: Edge AI in space

Purpose and goal​

The project addresses a growing market for energy-efficient, fault-tolerant onboard AI computing capable of replacing ground-based processing/power-hungry accelerators ill-suited for space environments. GR801 combines Brainchip Akida IP with Frontgrade Gaisler NOELV fault-tolerant CPU, to deliver reliable inference at the edge in space. The project objectives are two key commercialization enablers: radiation validation of GR801 and AI S/W ecosystem and neuromorphic demonstrator by Rapidity Space

Expected effects and result​

The project will deliver a GR801 component validated for space environments and also extensions to the AI SW eco-system. The intended impact is to increase autonomy in European space systems, energy-efficient space missions, support for emerging AI-at-the-edge applications, and potential spillover into adjacent domains such as climate monitoring and robotics. This will contribute to AI hardware and software innovations and accelerating the transition of AI edge computing from lab to orbit.

Planned approach and implementation​

Frontgrade Gaisler will start with a preparatory study in WP1 on use cases and customer intelligence. The results will act as a basis for work packages WP4 and WP5 where the project will focus on the ecosystem around AI software and neuromorphic sensing/computing. WP1 will be carried out by Frontgrade Gaisler and the results will be transferred to Rapidity Space which carries out WP4 and WP5. In parallel, validation of the GR801 will be performed by Frontgrade Gaisler in WP2 and WP3.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.

When you think about it, there will be a phalanx of tests for space applications - rad hard, fault tolerance, switching life cycle, energy usage, accuracy, temperature cycling (oven/freezer), vibration, ...

 

[Guzzi62]

Hi Manny,

My money is on the cyberNeuro RT Akida Edge Boc to be first cab off the rank.(I was going to say CNRT is waymo likely to be the first cab, but I thought better of it). CNRT is an existing hardware product the Edge Box) and the models would be derived from pre-existing QV data.

I'm assuming that Onsor will need FDA-type approval before it can be sold as a medical device.

One trial was completed on the last day in 2025 according to NIH below, 47 participants.

Devises are way easier to approve than medicines. The NEXA glasses will likely be in Class III medical devises, which is the high risk one, they have class I, II & III. I being low risk.
ChatGPT says it might fall under category II or even novel class if no one have done it before.

ChatGPT says it's unknown what the Oman government is doing with the application, as no records can be found, except the below investigational trial. They will likely have to analyze the data and submit them to the FDA.

ClinicalTrials.gov

clinicaltrials.gov

 

[manny100]

"Nvidia just admitted the general-purpose GPU era is ending"​

Title of interesting article above. FF has posted a few details of similar conclusions. FF posted the article contents but it was reported and deleted.
I asked 'chat' to provide a brief summary of the article as to the effect on AKIDA
"

Summary: Why AKIDA Is a Winner in the New Inference Era​

As AI inference splits into two distinct workloads — prefill (compute‑bound) and decode (memory‑bound) — the industry is moving away from one‑size‑fits‑all GPUs toward highly specialized architectures. This shift favors processors that minimize memory movement, deliver ultra‑low latency, and run efficiently on small, distilled models.

Neuromorphic edge chips like BrainChip’s AKIDA are built around exactly these strengths. They excel at decode‑style workloads, maintain local state with minimal energy, and run compact models at the edge with extremely low power consumption. As the market increasingly demands real‑time agents, on‑device intelligence, and efficient small‑model inference, AKIDA aligns perfectly with where the growth is happening.

Bottom line:AKIDA is positioned as a winner in the new inference era because the industry’s architectural shift directly matches the problems neuromorphic processors were designed to solve — low‑latency, low‑power, stateful, small‑model, edge‑first AI.""

 

[Diogenese]

"Nvidia just admitted the general-purpose GPU era is ending"​

Title of interesting article above. FF has posted a few details of similar conclusions. FF posted the article contents but it was reported and deleted.
I asked 'chat' to provide a brief summary of the article as to the effect on AKIDA
"

Summary: Why AKIDA Is a Winner in the New Inference Era​

As AI inference splits into two distinct workloads — prefill (compute‑bound) and decode (memory‑bound) — the industry is moving away from one‑size‑fits‑all GPUs toward highly specialized architectures. This shift favors processors that minimize memory movement, deliver ultra‑low latency, and run efficiently on small, distilled models.

Neuromorphic edge chips like BrainChip’s AKIDA are built around exactly these strengths. They excel at decode‑style workloads, maintain local state with minimal energy, and run compact models at the edge with extremely low power consumption. As the market increasingly demands real‑time agents, on‑device intelligence, and efficient small‑model inference, AKIDA aligns perfectly with where the growth is happening.

Bottom line:AKIDA is positioned as a winner in the new inference era because the industry’s architectural shift directly matches the problems neuromorphic processors were designed to solve — low‑latency, low‑power, stateful, small‑model, edge‑first AI.""

I've always said chatty is a genius!

PS: Burn before @Bravo sees this.

 

[manny100]

I've always said chatty is a genius!

PS: Burn before @Bravo sees this.

FF posted the below supporting a move from GPUs.
VentureBeat
https://venturebeat.com
https://venturebeat.com/infrastruct...nvidias-usd20b-groq-bet-explains-its-next-act
Nvidia just admitted the general-purpose GPU era is ending

1 day ago — We are entering the age of the Disaggregated Inference Architecture, where the silicon itself is being split into two different types to ...

LinkedIn · Moses Acosta
10+ reactions · 16 hours ago
https://www.linkedin.com/posts/mose...ral-purpose-activity-7413207454085296128-2Zzp
Nvidia just admitted the general-purpose GPU era is ending | Moses ...
https://www.linkedin.com/posts/mose...ral-purpose-activity-7413207454085296128-2Zzp

Nvidia just confirmed it folks! "The one-size-fits-all GPU era is ending". AI inference is now too specialized for a single architecture.

RamaOnHealthcare
https://ramaonhealthcare.com
https://ramaonhealthcare.com/nvidia-just-admitted-the-general-purpose-gpu-era-is-ending/
Nvidia just admitted the general-purpose GPU era is ending

16 hours ago — Nvidia's $20 billion strategic licensing deal with Groqrepresents one of the first clear moves in a four-front fight over the future AI stack.

LinkedIn · Matt Marshall
10+ reactions · 12 hours ago
https://www.linkedin.com/posts/mars...ral-purpose-activity-7413275983459577856-TAfp
Nvidia just admitted the general-purpose GPU era is ending | Matt ...
https://www.linkedin.com/posts/mars...ral-purpose-activity-7413275983459577856-TAfp

The general-purpose GPU era is officially over. Nvidia just admitted it. I spent the holiday break unpacking Jensen Huang's $20B move to ...

 

[Boab]

#technology #shift #neuromorphic #computing #meshing #ethics #safety #security #cyborg #governance | Craig Pearce

We are currently experiencing a significant shift in technology, as previously distinct fields such as biology, computation, and the built world are beginning to integrate. In the recent book, "Inside Cyber," Chuck Brooks says that new technologies like neuromorphic computing will not only speed...

www.linkedin.com

 

[TECH]

Some (termites) or as we say in the West, White Anter's who love to undermine positive sentiment, well think about this, when I personally share my opinion it has always been very balanced, some seem to forget that I've critised our company and certain employees over the journey, at one point I mentioned how I thought around 17 million AUD was blown during the sales team and studio era, BUT the point of this post is to remind ALL shareholders that we currently have a put option that requires 20 million AUD shares to be issued and closed out by the end of June 2026.

That does effect the share price rise, that's why I and others think 2026 through 2027 will see revenue justify sustained growth.

All personal attacks make me laugh, it's just a sign of weakness or maybe more to the point, desperation shining through in some shareholders personalities.

Do your own homework or invest in a bank.

Sincerely....Tech.

 

[Getupthere]

Some (termites) or as we say in the West, White Anter's who love to undermine positive sentiment, well think about this, when I personally share my opinion it has always been very balanced, some seem to forget that I've critised our company and certain employees over the journey, at one point I mentioned how I thought around 17 million AUD was blown during the sales team and studio era, BUT the point of this post is to remind ALL shareholders that we currently have a put option that requires 20 million AUD shares to be issued and closed out by the end of June 2026.

That does effect the share price rise, that's why I and others think 2026 through 2027 will see revenue justify sustained growth.

All personal attacks make me laugh, it's just a sign of weakness or maybe more to the point, desperation shining through in some shareholders personalities.

Do your own homework or invest in a bank.

Sincerely....Tech.

Hey Tech,

It’s undeniable that Sean’s five-year plan is over. You simply can’t complete the entire 2025 without an IP deal and claim success.

Akida 2 has been out for far too long to not have secured company sign-ups by now.

I believe his sales approach or lack thereof, coupled with his professional appearance, isn’t enough to achieve the desired results.

 

[Food4 thought]

Hi Bravo,

I'm not sure about any synergies between BRN and Weebit.

The podcast with Coby Hanoch at 19 minutes differentiates between the use of ReRAM for memory, which is a thing now, and ongoing development of its future use for neuromorphic compute-in-memory (analog)

https://www.theaustralian.com.au/bu...g/news-story/7be732f46c8a8ca3cb9e7d5bb93e31b6

The fact that they can claim a licence with Texas instruments would seem to validate their technology for memory applications under 14 nm, which SRAM apparently cannot achieve.

Basically, the fundamental reproducibility problem with analog is yet to be overcome to enable its use in NNs. Memory is fine - just single bits storing information, but when calculations involving thousands of bits which may vary by, eg, 1%, the result can be unreliable. To some extent, NNs can tolerate some variability because they operate on probability, not mathematical precision, but it becomes problematic when the variability exceeds the allowable tolerance,

It would be good if brain chip get a deal with Texas ins so they can use both weebit and BRN in conjunction with each other then that would be good news.
Time will tell I guess

 

[Guzzi62]

Hey Tech,

It’s undeniable that Sean’s five-year plan is over. You simply can’t complete the entire 2025 without an IP deal and claim success.

Akida 2 has been out for far too long to not have secured company sign-ups by now.

I believe his sales approach or lack thereof, coupled with his professional appearance, isn’t enough to achieve the desired results.

His 5 years plan isn't over, total deniable by anyone done just a little bit of DD.

Space cadet statement! Ohh, talking about space, ringing any bells?

He still has about a year left to fulfill it and as far as I can see, he has done an excellent job at making the company into a serious one and not some hobbyist outfit. The BOD must be happy enough with the progress or!!!!!

Typical crapper poster, whinging every day because they didn't get rich in 2024/25. I almost doubled my position here end of last year, so they can start making the deals now, the big ones, LOL.

 

[SERA2g]

Apologies if posted already

https://www.businesswire.com/news/home/20260102430038/en/MetaGuard-AI-Debuts-Defense-Grade-Cybersecurity-Platform-at-CES-2026-with-Industry-First-Full-Source-Code-Access-and-BrainChip-Neuromorphic-Support?utm_campaign=shareaholic&utm_medium=linkedin&utm_source=socialnetwork

MetaGuard AI Debuts Defense-Grade Cybersecurity Platform at CES 2026 with Industry-First Full Source Code Access and BrainChip Neuromorphic Support | Aaron Goldberg

Pleased to be demonstrating the power of our IoT Network Intrusion Detection software on Brainchip’s Akida Edge Box at CES next week!

www.linkedin.com

View attachment 94013

This is actually pretty promising news.

Quantum Ventura is now advertising and demoing it's cyber security platform through a subsidiary entity, MetaGuard AI.

For those that aren't an accountant (I am), this is a common restructure that I see and assist clients with, specially tech and licensing businesses or start ups that are close to commercialisation / ready to go to market.

Quantum Ventura would be the R&D entity, it owns the IP for the cyber security platform that has been developed and funded via the SBIR.

MetaGuard AI has been set up to be the market and client facing, brand advertising and contract entering licensee which will employ sales, marketing and other employees. Quantum Ventura will have licensed it's platform to MetaGuard to distribute and on-license to paying customers.

In short, the key reason for doing this is asset protection. If things go pear shape with customers or employees, the risk is limited to the assets held by MetaGuard AI. The key asset being the IP of the cyber security platform is held by Quantum Ventura and therefore not at risk.

This means QV is ready and extremely close to being ready to sell its products. They wouldn't have restructured if they weren't.

Still no IP licence between QV and Brainchip, I'm assuming this is subject to a customer order being placed with QV, so if they have success following CES, it will probably lead to an IP licence for us.

Cheers

 

[Doz]

Are we misjudging the significance of this find , as reported here and on other sites ?

Note : Brainchip and Andes have now been removed from sight on jmem tek’s webpage .


PQC

What we didn’t know and help’s explain for the quick removal from the partnership page ,

Alcor Micro to Showcase Latest Arm-based CPU Platform "Mobius100 (CSS V3)" at OCP Global Summit 2025

/PRNewswire/ -- Alcor Micro (8054.TWO), a subsidiary of Egis Technology Inc. (6462.TWO), will participate in the Open Compute Project (OCP) Global Summit 2025...

www.prnewswire.com

All in my opinion ……

 

[TECH]

This is actually pretty promising news.

Quantum Ventura is now advertising and demoing it's cyber security platform through a subsidiary entity, MetaGuard AI.

For those that aren't an accountant (I am), this is a common restructure that I see and assist clients with, specially tech and licensing businesses or start ups that are close to commercialisation / ready to go to market.

Quantum Ventura would be the R&D entity, it owns the IP for the cyber security platform that has been developed and funded via the SBIR.

MetaGuard AI has been set up to be the market and client facing, brand advertising and contract entering licensee which will employ sales, marketing and other employees. Quantum Ventura will have licensed it's platform to MetaGuard to distribute and on-license to paying customers.

In short, the key reason for doing this is asset protection. If things go pear shape with customers or employees, the risk is limited to the assets held by MetaGuard AI. The key asset being the IP of the cyber security platform is held by Quantum Ventura and therefore not at risk.

This means QV is ready and extremely close to being ready to sell its products. They wouldn't have restructured if they weren't.

Still no IP licence between QV and Brainchip, I'm assuming this is subject to a customer order being placed with QV, so if they have success following CES, it will probably lead to an IP licence for us.

Cheers

HNY N,
Nice to see you're still in the game, that was a great post...things are always bubbling away at Brainchip HQ, almost time to serve up the fruit we've all been patiently waiting on.

Regards Chris

 

[manny100]

Some (termites) or as we say in the West, White Anter's who love to undermine positive sentiment, well think about this, when I personally share my opinion it has always been very balanced, some seem to forget that I've critised our company and certain employees over the journey, at one point I mentioned how I thought around 17 million AUD was blown during the sales team and studio era, BUT the point of this post is to remind ALL shareholders that we currently have a put option that requires 20 million AUD shares to be issued and closed out by the end of June 2026.

That does effect the share price rise, that's why I and others think 2026 through 2027 will see revenue justify sustained growth.

All personal attacks make me laugh, it's just a sign of weakness or maybe more to the point, desperation shining through in some shareholders personalities.

Do your own homework or invest in a bank.

Sincerely....Tech.

Hi Tech, shorters have no boundaries when it comes to protecting their agenda and as we know are

Hey Tech,

It’s undeniable that Sean’s five-year plan is over. You simply can’t complete the entire 2025 without an IP deal and claim success.

Akida 2 has been out for far too long to not have secured company sign-ups by now.

I believe his sales approach or lack thereof, coupled with his professional appearance, isn’t enough to achieve the desired results.

You may want to have another look at the adoption to revenue cycle.
It appears the BOD are very happy with Sean granting him another > 7 5 mill RSUs in May 2025.
Also BRN gave staff Merit pay rises in July's which was commented on in the Quarterly as a contributing reason to increased costs.
Given that the BOD see what is going on they are likely in a better position to judge.
What do you see as your options with your holding? It appears you have backed yourself into a corner.