BRN Discussion Ongoing

[itsol4605]

Here’s a visual comparison of the key neuromorphic computing players in terms of market share and technological maturity:

---

Neuromorphic Computing Key Players: Market & Tech Comparison​

Company	Estimated Market Share	Technological Maturity	Key Strengths	Focus Areas
Intel	~15–20%	Very High	Loihi chips, largest neuromorphic systems	Research & edge AI, robotics, autonomous vehicles
BrainChip	~10–12%	High	Akida processor, edge AI solutions	Consumer electronics, robotics, IoT
SynSense	~5% (niche)	Medium–High	Ultra-low-power SNN chips	Edge AI, robotics, drones, smart cameras
IBM	~15%	High (research focus)	TrueNorth chip, cognitive computing	Pattern recognition, AI research
Qualcomm	~5% (mobile edge)	Medium	Integration in Snapdragon SoCs	Mobile devices, IoT, edge AI

---

Observations​

1. Intel leads both in market share and technology, thanks to its Loihi 2 and large-scale neuromorphic systems.
2. BrainChip is the most commercially advanced in consumer and industrial edge AI applications.
3. SynSense occupies a niche but is highly specialized in energy-efficient SNNs.
4. IBM remains research-focused, contributing innovations but with slower commercial deployment.
5. Qualcomm applies neuromorphic concepts within existing mobile/IoT ecosystems, expanding reach without being a pure neuromorphic chip vendor.

---

If you want, I can also create a graphical chart showing market share vs. technological maturity, which makes the differences even easier to visualize. Do you want me to do that?

 

[Pom down under]

Which company is a leader in neuromorphic computing that offers a market-ready chip or market-ready IP?

ChatGPT:
In short: BrainChip (Akida) and SynSense are currently the leaders, because they actually offer commercially available neuromorphic products.

• BrainChip – leader in licensable IP: Provides the neuromorphic Akida design as commercially licensable IP (and modules). They already have real licensing deals, e.g. with Frontgrade Gaisler for space applications. If you’re looking for “neuromorphic + market-ready + licensable IP,” BrainChip is the clear choice.
• SynSense – leader in market-ready chips: Sells production chips (Speck, Xylo) and dev kits for vision/audio. Speck is already in mass production, and the Xylo family is on the market with product pages and kits. If you need ready-to-use chips instead of IP, SynSense is at the forefront.

For context:

• Intel (Loihi 2 / Hala Point) and IBM (TrueNorth) are important research platforms, but not available as market-ready, general commercial products or IP.

Bottom line:
If you want licensable IP ⇒ go with BrainChip.
If you want off-the-shelf chips ⇒ go with SynSense.

Do you want me to also compare their ecosystems and developer support (SDKs, toolchains, partner network)? That could help you decide depending on whether you’re aiming for prototyping, product integration, or licensing.

Im guessing you’ve finished shorting for now

 

[7für7]

I think this one’s huge. The VR/AR market is still expanding, and one of the reasons it’s struggling is the lack of effective eye tracking. If Akida can solve that, it could be a real game changer for the whole segment, IMO.

Eye Tracking

Next Generation Eye-Tracking with Efficient, Low-Power Edge AI Deliver always-on vision intelligence that enhances safety, interactivity, and user experience. Learn More About Eye-Tracking Technology Why Eye-Tracking Matters More Than Ever In

brainchip.com

 

[Rach2512]

Heading to #Interspeech2025 in Rotterdam , Netherlands to present our #TENNs SSM-based audio denoising algorithm, "#aTENNuate"! | Ritik Shrivastava

Heading to #Interspeech2025 in Rotterdam , Netherlands to present our #TENNs SSM-based audio denoising algorithm, "#aTENNuate"! Excited to share the work that Rudy Pei, FNU Sidharth, and I did at BrainChip and how applying TENNs SSM to the edge can unlock new possibilities for ultra-efficient...

www.linkedin.com

 

[Slade]

Heading to #Interspeech2025 in Rotterdam , Netherlands to present our #TENNs SSM-based audio denoising algorithm, "#aTENNuate"! | Ritik Shrivastava

Heading to #Interspeech2025 in Rotterdam , Netherlands to present our #TENNs SSM-based audio denoising algorithm, "#aTENNuate"! Excited to share the work that Rudy Pei, FNU Sidharth, and I did at BrainChip and how applying TENNs SSM to the edge can unlock new possibilities for ultra-efficient...

www.linkedin.com

View attachment 89732
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View attachment 89735 View attachment 89736 View attachment 89737

Nice one Rach. A little more info and Whitepaper available here:

ISCA Archive - Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio

 

[TECH]

Hi All,
With regards the podcast a few days ago, it was a constructive interview of sorts, I thought Trevor spoke well, I detect a South African accent, maybe a Dr. JT link?

Anyway, Sean stated clearly what our current direction is, i.e. focus on the roadmap, things ramping up within the next 4 months, new unnamed partners/ customers ? and a real emphasis on acknowledging the loyal Australian shareholder base for their continued support and patience etc...I believe a real effort at the Boardroom level to improve relationships and attitudes with us has been addressed, thanks to Peter, Pia and Geoff, in my opinion, you may disagree and that's fine with me.
My runway has 10.5 months yet to play out, I am very comfortable the company's ducks will be quacking in harmony, within that timeframe.

AKD....Tech.

 

[7für7]

Heading to #Interspeech2025 in Rotterdam , Netherlands to present our #TENNs SSM-based audio denoising algorithm, "#aTENNuate"! | Ritik Shrivastava

Heading to #Interspeech2025 in Rotterdam , Netherlands to present our #TENNs SSM-based audio denoising algorithm, "#aTENNuate"! Excited to share the work that Rudy Pei, FNU Sidharth, and I did at BrainChip and how applying TENNs SSM to the edge can unlock new possibilities for ultra-efficient...

www.linkedin.com

View attachment 89732
View attachment 89733 View attachment 89734
View attachment 89735 View attachment 89736 View attachment 89737

 

[Bravo]

I think this one’s huge. The VR/AR market is still expanding, and one of the reasons it’s struggling is the lack of effective eye tracking. If Akida can solve that, it could be a real game changer for the whole segment, IMO.

Eye Tracking

Next Generation Eye-Tracking with Efficient, Low-Power Edge AI Deliver always-on vision intelligence that enhances safety, interactivity, and user experience. Learn More About Eye-Tracking Technology Why Eye-Tracking Matters More Than Ever In

brainchip.com

​

​

​

​

​

​

NVISO as a Bridge Between Tobii and BrainChip​

• NVISO ↔ BrainChip
  NVISO has been actively partnered with BrainChip since 2022, integrating its behavioral AI with Akida for ultra-low-power edge processing in automotive and robotics applications. They’ve demonstrated high-throughput, low-footprint models running on Akida and even showcased joint demos at CES 2024.
• NVISO ↔ Tobii
  Back in 2021, Tobii partnered with NVISO for automotive driver monitoring systems (DMS) and occupant monitoring systems (OMS). Tobii provided eye-tracking sensors, while NVISO layered on emotion and gesture recognition, enabling richer in-cabin experiences.
• What’s Missing
  There’s no public document, patent, or press release that explicitly connects all three (NVISO, Tobii, BrainChip) together. Searches across NVISO’s patents, whitepapers, and media show bilateral ties, but not a three-way collaboration.

---

Likelihood of NVISO Introducing Tobii to BrainChip​

Given NVISO’s dual role—partnering with Tobii for sensing and with BrainChip for compute—it’s highly plausible that NVISO either directly introduced or indirectly positioned each company’s offerings as complementary. In practice:

• Tobii brings high-fidelity gaze/eye-tracking hardware.
• NVISO contributes behavioral AI and emotion/gesture recognition models.
• BrainChip provides Akida’s ultra-low-power neuromorphic inference.

In automotive supply chains, this kind of three-way ecosystem is common: a sensor vendor + an AI ISV + a compute IP provider. Even if it isn’t documented, NVISO is perfectly situated as the “bridge.”

---

Bottom Line: There’s no official record of Tobii and BrainChip partnering directly, but NVISO’s simultaneous work with both makes it quite likely they’re aware of each other, and NVISO may have facilitated technical introductions or ecosystem alignment.

---

Would you like me to sketch out a few potential automotive scenarios where Tobii + NVISO + BrainChip could realistically converge (e.g., next-gen in-cabin monitoring, driver alertness + passenger emotion fusion, ultra-low-power always-on sensing)? That might help frame how such an indirect connection could evolve into formal collaboration.

You said:​

Can you please keep digging, in: NVISO technical decks/webinar slides (they ran a “Neuromorphic Computing Update” webinar around mid-2022) for architecture diagrams that show sensor vendors + compute IP on one page. nviso.ai NVISO’s IMS demo materials (they’ve shown IMS on NVIDIA and Akida) for partner ecosystem callouts.

ChatGPT said:​

Thought for 24s
Here’s what I could dig up from the exact places you flagged:

What I found (NVISO decks/webinar + IMS demo)​

• NVISO “Neuromorphic Computing Update” webinar (mid-2022) — NVISO’s event page explicitly says the session covers “latest results on the BrainChip Akida in real-world conditions,” “data-driven AI apps at the extreme edge,” and a roadmap. I couldn’t access the replay from that page (likely gated), but the description alone confirms Akida was a featured compute target in their technical update. BeEmotion
• NVISO IMS demo on Vimeo — The video is titled “Automotive Interior Monitoring System (IMS) AI Solution with Neuromorphic Computing with BrainChip Akida” and states the IMS solution runs on an NVIDIA NPU and BrainChip Akida. That’s a clear “partner ecosystem” call-out showing NVISO positioning their software across both conventional NPUs and neuromorphic compute. Vimeo
• Interoperability milestone & EVK/SDK on Akida — NVISO’s and BrainChip’s pages detail Akida deployments (sub-10 ms latencies, ~<1 MB models; >1000 FPS figures) and an evaluation kit/SDK workflow, which shows real productization steps rather than a one-off demo. Not an architecture diagram, but strong evidence of active, practical integration. BrainChipYole Group
• CES 2024 joint demo — Multiple outlets (BusinessWire, Edge AI Vision) recap NVISO’s behavioral AI running on Akida (eye/gaze, head/body pose, emotion reasoning) — again reinforcing the dual-stack story (their AI apps + Akida at the edge). Business WireEdge AI and Vision Alliance

Did I find a one-page diagram showing sensor vendors + compute IP together?​

• No explicit diagram in the public materials I could access (the webinar replay may be gated). The Vimeo IMS page and Akida interoperability posts are the best public evidence showing NVIDIA + Akida in the same NVISO solution context. VimeoBrainChip

What this implies for your “NVISO as connector” hypothesis​

• NVISO publicly shows their IMS running on both NVIDIA and Akida, which strongly supports the idea that NVISO operates as the bridge between sensors (e.g., Tobii eye-tracking) and compute (NVIDIA NPUs + Akida neuromorphic).
• While I did not find a slide that name-checks Tobii + BrainChip together, NVISO’s role and the timing still make it very plausible they’ve positioned both to customers in the same solution stack. Vimeo

If you want, I can keep hunting for conference slide decks (e.g., ITS, AutoSens, CES tech talks) where NVISO often includes partner logos on a single architecture slide.

You said​

How likely is it that BrainChip's tech will tie in with these eye tracking partnership's with Tobii, Sony and Qualcomm?

ChatGPT said:​

Here’s a polished and refined response based on the latest data:

---

Eye-Tracking Partnerships & BrainChip: How Likely Is Alignment?​

1. Tobii Partnerships with Sony & Qualcomm​

• Tobii + Qualcomm: Tobii’s eye-tracking technology is a native feature in Qualcomm’s Snapdragon XR reference platforms—enabling applications like foveated rendering for VR/AR headsets.
  BrainChip+11tobii.com+11eenewseurope.com+11
• Tobii + Sony: Tobii supplies PSVR 2’s eye-tracking solution, becoming part of Sony’s immersive headset lineup.
  BrainChip+3XR Today+3tobii.com+3

2. BrainChip’s Eye-Tracking Tech​

• BrainChip has released a specialized white paper and model series focused on ultra-low-power eye-tracking using event-driven neural networks (TENNs), tailored for continuous, real-time edge deployment—achieving top-tier accuracy with minimal computation.
  BrainChip+8BrainChip+8BrainChip+8

3. How Likely Is Integration?​

• High technical complementarity: Tobii provides hardware + broad eye metrics; BrainChip offers highly efficient, on-device inference and temporal spiking networks. Pairing these could unlock power-sipping, always-on use cases—especially in mobile XR, wearables, and smartphones.
• Strategic overlap is plausible: Both Sony and Qualcomm value low-latency, energy-efficient eye sensing. BrainChip’s TENNs eye-tracking fits that mandate well—suggesting potential for collaboration.
• No public co-mentions yet: I found no official announcement or mutual reference between BrainChip and Tobii/Sony/Qualcomm, which means if a formal partnership exists, it's not widely publicized.
  BrainChip

---

Summary Table​

Collaboration Pair	Likelihood of Alignment	Rationale
Tobii + Qualcomm/Sony with BrainChip	Moderate to High	Complementary objectives and clear technological fit
Public co-announcement	Low	No current press or documentation available

---

Bottom Line​

While there's no confirmed commercial tie-up among BrainChip and the Tobii–Sony/Qualcomm partners yet, the technical synergies and strategic alignment make it very plausible—and even attractively logical—for BrainChip’s edge eye-tracking models to be integrated into future Tobii-enabled platforms.

 

[7für7]

​

View attachment 89760​

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View attachment 89761​

​

​

​

​

NVISO as a Bridge Between Tobii and BrainChip​

• NVISO ↔ BrainChip
  NVISO has been actively partnered with BrainChip since 2022, integrating its behavioral AI with Akida for ultra-low-power edge processing in automotive and robotics applications. They’ve demonstrated high-throughput, low-footprint models running on Akida and even showcased joint demos at CES 2024.
• NVISO ↔ Tobii
  Back in 2021, Tobii partnered with NVISO for automotive driver monitoring systems (DMS) and occupant monitoring systems (OMS). Tobii provided eye-tracking sensors, while NVISO layered on emotion and gesture recognition, enabling richer in-cabin experiences.
• What’s Missing
  There’s no public document, patent, or press release that explicitly connects all three (NVISO, Tobii, BrainChip) together. Searches across NVISO’s patents, whitepapers, and media show bilateral ties, but not a three-way collaboration.

---

Likelihood of NVISO Introducing Tobii to BrainChip​

Given NVISO’s dual role—partnering with Tobii for sensing and with BrainChip for compute—it’s highly plausible that NVISO either directly introduced or indirectly positioned each company’s offerings as complementary. In practice:

• Tobii brings high-fidelity gaze/eye-tracking hardware.
• NVISO contributes behavioral AI and emotion/gesture recognition models.
• BrainChip provides Akida’s ultra-low-power neuromorphic inference.

In automotive supply chains, this kind of three-way ecosystem is common: a sensor vendor + an AI ISV + a compute IP provider. Even if it isn’t documented, NVISO is perfectly situated as the “bridge.”

---

Bottom Line: There’s no official record of Tobii and BrainChip partnering directly, but NVISO’s simultaneous work with both makes it quite likely they’re aware of each other, and NVISO may have facilitated technical introductions or ecosystem alignment.

---

Would you like me to sketch out a few potential automotive scenarios where Tobii + NVISO + BrainChip could realistically converge (e.g., next-gen in-cabin monitoring, driver alertness + passenger emotion fusion, ultra-low-power always-on sensing)? That might help frame how such an indirect connection could evolve into formal collaboration.

You said:​

Can you please keep digging, in: NVISO technical decks/webinar slides (they ran a “Neuromorphic Computing Update” webinar around mid-2022) for architecture diagrams that show sensor vendors + compute IP on one page. nviso.ai NVISO’s IMS demo materials (they’ve shown IMS on NVIDIA and Akida) for partner ecosystem callouts.

ChatGPT said:​

Thought for 24s
Here’s what I could dig up from the exact places you flagged:

What I found (NVISO decks/webinar + IMS demo)​

• NVISO “Neuromorphic Computing Update” webinar (mid-2022) — NVISO’s event page explicitly says the session covers “latest results on the BrainChip Akida in real-world conditions,” “data-driven AI apps at the extreme edge,” and a roadmap. I couldn’t access the replay from that page (likely gated), but the description alone confirms Akida was a featured compute target in their technical update. BeEmotion
• NVISO IMS demo on Vimeo — The video is titled “Automotive Interior Monitoring System (IMS) AI Solution with Neuromorphic Computing with BrainChip Akida” and states the IMS solution runs on an NVIDIA NPU and BrainChip Akida. That’s a clear “partner ecosystem” call-out showing NVISO positioning their software across both conventional NPUs and neuromorphic compute. Vimeo
• Interoperability milestone & EVK/SDK on Akida — NVISO’s and BrainChip’s pages detail Akida deployments (sub-10 ms latencies, ~<1 MB models; >1000 FPS figures) and an evaluation kit/SDK workflow, which shows real productization steps rather than a one-off demo. Not an architecture diagram, but strong evidence of active, practical integration. BrainChipYole Group
• CES 2024 joint demo — Multiple outlets (BusinessWire, Edge AI Vision) recap NVISO’s behavioral AI running on Akida (eye/gaze, head/body pose, emotion reasoning) — again reinforcing the dual-stack story (their AI apps + Akida at the edge). Business WireEdge AI and Vision Alliance

Did I find a one-page diagram showing sensor vendors + compute IP together?​

• No explicit diagram in the public materials I could access (the webinar replay may be gated). The Vimeo IMS page and Akida interoperability posts are the best public evidence showing NVIDIA + Akida in the same NVISO solution context. VimeoBrainChip

What this implies for your “NVISO as connector” hypothesis​

• NVISO publicly shows their IMS running on both NVIDIA and Akida, which strongly supports the idea that NVISO operates as the bridge between sensors (e.g., Tobii eye-tracking) and compute (NVIDIA NPUs + Akida neuromorphic).
• While I did not find a slide that name-checks Tobii + BrainChip together, NVISO’s role and the timing still make it very plausible they’ve positioned both to customers in the same solution stack. Vimeo

If you want, I can keep hunting for conference slide decks (e.g., ITS, AutoSens, CES tech talks) where NVISO often includes partner logos on a single architecture slide.

You said​

How likely is it that BrainChip's tech will tie in with these eye tracking partnership's with Tobii, Sony and Qualcomm?

ChatGPT said:​

Here’s a polished and refined response based on the latest data:

---

Eye-Tracking Partnerships & BrainChip: How Likely Is Alignment?​

1. Tobii Partnerships with Sony & Qualcomm​

• Tobii + Qualcomm: Tobii’s eye-tracking technology is a native feature in Qualcomm’s Snapdragon XR reference platforms—enabling applications like foveated rendering for VR/AR headsets.
  BrainChip+11tobii.com+11eenewseurope.com+11
• Tobii + Sony: Tobii supplies PSVR 2’s eye-tracking solution, becoming part of Sony’s immersive headset lineup.
  BrainChip+3XR Today+3tobii.com+3

2. BrainChip’s Eye-Tracking Tech​

• BrainChip has released a specialized white paper and model series focused on ultra-low-power eye-tracking using event-driven neural networks (TENNs), tailored for continuous, real-time edge deployment—achieving top-tier accuracy with minimal computation.
  BrainChip+8BrainChip+8BrainChip+8

3. How Likely Is Integration?​

• High technical complementarity: Tobii provides hardware + broad eye metrics; BrainChip offers highly efficient, on-device inference and temporal spiking networks. Pairing these could unlock power-sipping, always-on use cases—especially in mobile XR, wearables, and smartphones.
• Strategic overlap is plausible: Both Sony and Qualcomm value low-latency, energy-efficient eye sensing. BrainChip’s TENNs eye-tracking fits that mandate well—suggesting potential for collaboration.
• No public co-mentions yet: I found no official announcement or mutual reference between BrainChip and Tobii/Sony/Qualcomm, which means if a formal partnership exists, it's not widely publicized.
  BrainChip

---

Summary Table​

Collaboration Pair	Likelihood of Alignment	Rationale
Tobii + Qualcomm/Sony with BrainChip	Moderate to High	Complementary objectives and clear technological fit
Public co-announcement	Low	No current press or documentation available

---

Bottom Line​

While there's no confirmed commercial tie-up among BrainChip and the Tobii–Sony/Qualcomm partners yet, the technical synergies and strategic alignment make it very plausible—and even attractively logical—for BrainChip’s edge eye-tracking models to be integrated into future Tobii-enabled platforms.

 

[Pom down under]

Hi All,


I believe a real effort at the Boardroom level to improve relationships and attitudes with us has been addressed, thanks to Peter, Pia and Geoff, in my opinion, you may disagree and that's fine with me.


AKD....Tech.

 

[keyeat]

I believe a real effort at the Boardroom level to improve relationships and attitudes with us has been addressed, thanks to Peter, Pia and Geoff, in my opinion, you may disagree and that's fine with me.

Hi @TECH , why do you believe this? can you please share what you have seen? as i haven't seen anything from Peter, Pia or Geoff , maybe I'm missing something ...

 

[smoothsailing18]

I think this one’s huge. The VR/AR market is still expanding, and one of the reasons it’s struggling is the lack of effective eye tracking. If Akida can solve that, it could be a real game changer for the whole segment, IMO.

​

View attachment 89760​

​

View attachment 89761​

​

​

​

​

NVISO as a Bridge Between Tobii and BrainChip​

• NVISO ↔ BrainChip
  NVISO has been actively partnered with BrainChip since 2022, integrating its behavioral AI with Akida for ultra-low-power edge processing in automotive and robotics applications. They’ve demonstrated high-throughput, low-footprint models running on Akida and even showcased joint demos at CES 2024.
• NVISO ↔ Tobii
  Back in 2021, Tobii partnered with NVISO for automotive driver monitoring systems (DMS) and occupant monitoring systems (OMS). Tobii provided eye-tracking sensors, while NVISO layered on emotion and gesture recognition, enabling richer in-cabin experiences.
• What’s Missing
  There’s no public document, patent, or press release that explicitly connects all three (NVISO, Tobii, BrainChip) together. Searches across NVISO’s patents, whitepapers, and media show bilateral ties, but not a three-way collaboration.

---

Likelihood of NVISO Introducing Tobii to BrainChip​

Given NVISO’s dual role—partnering with Tobii for sensing and with BrainChip for compute—it’s highly plausible that NVISO either directly introduced or indirectly positioned each company’s offerings as complementary. In practice:

• Tobii brings high-fidelity gaze/eye-tracking hardware.
• NVISO contributes behavioral AI and emotion/gesture recognition models.
• BrainChip provides Akida’s ultra-low-power neuromorphic inference.

In automotive supply chains, this kind of three-way ecosystem is common: a sensor vendor + an AI ISV + a compute IP provider. Even if it isn’t documented, NVISO is perfectly situated as the “bridge.”

---

Bottom Line: There’s no official record of Tobii and BrainChip partnering directly, but NVISO’s simultaneous work with both makes it quite likely they’re aware of each other, and NVISO may have facilitated technical introductions or ecosystem alignment.

---

Would you like me to sketch out a few potential automotive scenarios where Tobii + NVISO + BrainChip could realistically converge (e.g., next-gen in-cabin monitoring, driver alertness + passenger emotion fusion, ultra-low-power always-on sensing)? That might help frame how such an indirect connection could evolve into formal collaboration.

You said:​

Can you please keep digging, in: NVISO technical decks/webinar slides (they ran a “Neuromorphic Computing Update” webinar around mid-2022) for architecture diagrams that show sensor vendors + compute IP on one page. nviso.ai NVISO’s IMS demo materials (they’ve shown IMS on NVIDIA and Akida) for partner ecosystem callouts.

ChatGPT said:​

Thought for 24s
Here’s what I could dig up from the exact places you flagged:

What I found (NVISO decks/webinar + IMS demo)​

• NVISO “Neuromorphic Computing Update” webinar (mid-2022) — NVISO’s event page explicitly says the session covers “latest results on the BrainChip Akida in real-world conditions,” “data-driven AI apps at the extreme edge,” and a roadmap. I couldn’t access the replay from that page (likely gated), but the description alone confirms Akida was a featured compute target in their technical update. BeEmotion
• NVISO IMS demo on Vimeo — The video is titled “Automotive Interior Monitoring System (IMS) AI Solution with Neuromorphic Computing with BrainChip Akida” and states the IMS solution runs on an NVIDIA NPU and BrainChip Akida. That’s a clear “partner ecosystem” call-out showing NVISO positioning their software across both conventional NPUs and neuromorphic compute. Vimeo
• Interoperability milestone & EVK/SDK on Akida — NVISO’s and BrainChip’s pages detail Akida deployments (sub-10 ms latencies, ~<1 MB models; >1000 FPS figures) and an evaluation kit/SDK workflow, which shows real productization steps rather than a one-off demo. Not an architecture diagram, but strong evidence of active, practical integration. BrainChipYole Group
• CES 2024 joint demo — Multiple outlets (BusinessWire, Edge AI Vision) recap NVISO’s behavioral AI running on Akida (eye/gaze, head/body pose, emotion reasoning) — again reinforcing the dual-stack story (their AI apps + Akida at the edge). Business WireEdge AI and Vision Alliance

Did I find a one-page diagram showing sensor vendors + compute IP together?​

• No explicit diagram in the public materials I could access (the webinar replay may be gated). The Vimeo IMS page and Akida interoperability posts are the best public evidence showing NVIDIA + Akida in the same NVISO solution context. VimeoBrainChip

What this implies for your “NVISO as connector” hypothesis​

• NVISO publicly shows their IMS running on both NVIDIA and Akida, which strongly supports the idea that NVISO operates as the bridge between sensors (e.g., Tobii eye-tracking) and compute (NVIDIA NPUs + Akida neuromorphic).
• While I did not find a slide that name-checks Tobii + BrainChip together, NVISO’s role and the timing still make it very plausible they’ve positioned both to customers in the same solution stack. Vimeo

If you want, I can keep hunting for conference slide decks (e.g., ITS, AutoSens, CES tech talks) where NVISO often includes partner logos on a single architecture slide.

You said​

How likely is it that BrainChip's tech will tie in with these eye tracking partnership's with Tobii, Sony and Qualcomm?

ChatGPT said:​

Here’s a polished and refined response based on the latest data:

---

Eye-Tracking Partnerships & BrainChip: How Likely Is Alignment?​

1. Tobii Partnerships with Sony & Qualcomm​

• Tobii + Qualcomm: Tobii’s eye-tracking technology is a native feature in Qualcomm’s Snapdragon XR reference platforms—enabling applications like foveated rendering for VR/AR headsets.
  BrainChip+11tobii.com+11eenewseurope.com+11
• Tobii + Sony: Tobii supplies PSVR 2’s eye-tracking solution, becoming part of Sony’s immersive headset lineup.
  BrainChip+3XR Today+3tobii.com+3

2. BrainChip’s Eye-Tracking Tech​

• BrainChip has released a specialized white paper and model series focused on ultra-low-power eye-tracking using event-driven neural networks (TENNs), tailored for continuous, real-time edge deployment—achieving top-tier accuracy with minimal computation.
  BrainChip+8BrainChip+8BrainChip+8

3. How Likely Is Integration?​

• High technical complementarity: Tobii provides hardware + broad eye metrics; BrainChip offers highly efficient, on-device inference and temporal spiking networks. Pairing these could unlock power-sipping, always-on use cases—especially in mobile XR, wearables, and smartphones.
• Strategic overlap is plausible: Both Sony and Qualcomm value low-latency, energy-efficient eye sensing. BrainChip’s TENNs eye-tracking fits that mandate well—suggesting potential for collaboration.
• No public co-mentions yet: I found no official announcement or mutual reference between BrainChip and Tobii/Sony/Qualcomm, which means if a formal partnership exists, it's not widely publicized.
  BrainChip

---

Summary Table​

Collaboration Pair	Likelihood of Alignment	Rationale
Tobii + Qualcomm/Sony with BrainChip	Moderate to High	Complementary objectives and clear technological fit
Public co-announcement	Low	No current press or documentation available

---

Bottom Line​

While there's no confirmed commercial tie-up among BrainChip and the Tobii–Sony/Qualcomm partners yet, the technical synergies and strategic alignment make it very plausible—and even attractively logical—for BrainChip’s edge eye-tracking models to be integrated into future Tobii-enabled platforms.

Somewhere BRN will fit into these AR/ VR glasses and it is happening behind closed doors as we speak.
We will see the results in the next 12 months or less IMO.

 

[7für7]

Somewhere BRN will fit into these AR/ VR glasses and it is happening behind closed doors as we speak.
We will see the results in the next 12 months or less IMO.

Thanks for replying to my post! I agree with you!

 

[MegaportX]

The Chopper girls nowhere to be scene today. I wonder why




MegaportX

 

[SERA2g]

Hi @CHIPS,

I think you’re confusing Gabriela Mystkowska, who is a Polish PhD student at the University of Pisa’s Department of Information Engineering as well as a Visiting Researcher at ESA (which also happens to be the organisation that is co-funding her PhD), with Sylvia Traxler, who is a Senior Principal Software Engineer at Raytheon Technologies.

https://www.linkedin.com/in/gabriela-mystkowska/

Sylvia Traxler - Raytheon Technologies | LinkedIn

Experience: Raytheon Technologies · Education: The University of Texas at Austin · Location: Greater Tampa Bay Area · 448 connections on LinkedIn. View Sylvia Traxler’s profile on LinkedIn, a professional community of 1 billion members.

www.linkedin.com

Sylvia Traxler was one of three RTX employees visiting the BrainChip private suite at the Venetian Tower during CES 2025. We know that to be a fact, since she and her colleagues Bryce Nakamori and Geoff Martin were featured in a group photo together with Steve Thorne and JP Wright, which was later posted by BrainChip on LinkedIn. However, that “Day 2: Productive Day at #CES2025” post publicly revealing RTX as a BRN partner vanished into thin air shortly after.

Some of us had long figured out that RTX were likely the subcontractor in question with regards to the AFRL SBIR contract that BRN had been awarded in December 2024, but apparently the negotiations were either not completely cut and dried or there were other reasons why this partnership was not yet supposed to go public. Anyway, IMO a very unprofessional slip-up to completely delete a publicly visible LinkedIn post without a comment. They could have just edited it instead.

Here are several 9 January 2025 posts by @Tothemoon24, @miaeffect, @Quiltman and @SERA2g, which prove that the LinkedIn post in question did exist for a short time - unfortunately, no one that day appears to have posted the actual picture showing the RTX trio…

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Hi @Frangipani

It started with a post by @Townyj
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-446438

Towny linked the LinkedIn photo in his post. You can see the link to the post and it leads to a page that is now dead:

https://www.linkedin.com/posts/brai...Q/?utm_source=share&utm_medium=member_desktop

Social media kid definitely fumbled the ball.

 

[TECH]

Hi @TECH , why do you believe this? can you please share what you have seen? as i haven't seen anything from Peter, Pia or Geoff , maybe I'm missing something ...

Good afternoon keyeat (if you're on the east coast),

My statement was purely my opinion not a fact as such, the way Sean mentioned the shareholder base twice (from memory) during that
podcast and Trevor's approach I just get the feeling after the re-domicile debacle, some may even say a total waste of the company's time
and money in evaluating such a radicle idea, considering how we are currently placed in the big scheme of things, once again, that's my own
personal view of that situation.

Knowing Peter, (not that I'm speaking on his behalf) he has a very strong relationship with many Australian shareholders, and despite being
retired, he still receives rather a lot of daily shareholder contact, a number from concerned, loyal Australian shareholders, who are really seeking
reassurance from our founding father, but I'm certainly not privy to private discussions.

So, to answer your question, I feel that all the Australian NED's would stand-up and defend the 40,000 odd loyal shareholders to the end.
Integrity resides within Brainchip as I have mentioned prior, that's my personal view of course.

Have a great afternoon.........regards...........Tech

 

[HopalongPetrovski]

Good afternoon keyeat (if you're on the east coast),

My statement was purely my opinion not a fact as such, the way Sean mentioned the shareholder base twice (from memory) during that
podcast and Trevor's approach I just get the feeling after the re-domicile debacle, some may even say a total waste of the company's time
and money in evaluating such a radicle idea, considering how we are currently placed in the big scheme of things, once again, that's my own
personal view of that situation.

Knowing Peter, (not that I'm speaking on his behalf) he has a very strong relationship with many Australian shareholders, and despite being
retired, he still receives rather a lot of daily shareholder contact, a number from concerned, loyal Australian shareholders, who are really seeking
reassurance from our founding father, but I'm certainly not privy to private discussions.

So, to answer your question, I feel that all the Australian NED's would stand-up and defend the 40,000 odd loyal shareholders to the end.
Integrity resides within Brainchip as I have mentioned prior, that's my personal view of course.

Have a great afternoon.........regards...........Tech

Good to see you posting again @TECH.
Hope you are recovering well from the previous nastiness of the home invasion.
Is PVDM enjoying his well deserved retirement?
Not based on anything but my own personal hunch, I recon the investigation of the redomicile scenario was based on the possibility of a cornerstone investor or company taking a significant stake in BrainChip, which may have been conditional on a US listing.
Pure speculation from me, but as we become more and more widely known and respected, such a scenario may unfold.

 

[7für7]

Since we’re all just speculating here anyway because of the lack of announcements…and even dragging ChatGPT into it…I figured I’d go ahead and ask a question myself.

“Okay, let’s spin a plausible scenario based on what we already know about BrainChip, Akida, and its partners and licensees. When you follow the chain step by step, you start to see how Akida could spread across entire value chains.

It begins with partners like Renesas, Edge Impulse, Prophesee, and Valeo. Renesas can embed Akida directly into their MCUs and SoCs, which are already shipped in millions of devices for automotive, IoT, and industrial control. Edge Impulse makes Akida available as a standard option for developers training and deploying models worldwide—think of it like an app store effect for AI. Prophesee integrates Akida into their event-based cameras, opening doors for drones, security, and AR/VR. And Tier-1 suppliers like Valeo can push Akida into automotive use cases such as driver monitoring, sensor fusion, and predictive maintenance.

Now look at their customers. A Renesas client, for example Toyota, VW, or Tesla, could adopt Akida-enabled chips in ECUs—meaning millions of cars per year. An Edge Impulse customer building wearables could launch a smartwatch with ultra-efficient on-device speech or health monitoring. A Prophesee client like Sony, Bosch, or a drone manufacturer could embed Akida into their camera modules—spreading the technology into consumer and industrial markets.

Once it starts, it triggers a chain reaction. If Toyota integrates Akida-based chips, suppliers like Bosch or Continental will be under pressure to follow with compatible systems. If a smartwatch maker delivers Akida-powered features, giants like Apple and Samsung may need to respond. And if drones with Akida+Prophesee become standard in logistics (Amazon, DHL), defense, or agriculture, adoption cascades across entire industries.

That’s how, within a few years, you could find Akida everywhere:

• in the car (driver monitoring, radar/lidar sensor fusion, predictive maintenance)

• in the home (smart home devices, IoT sensors, security cameras)

• on the body (wearables, health sensors, even medical implants)

• in the sky (drones, satellites, AR/VR headsets with eye-tracking)

• in industry (robotics, quality control, predictive maintenance).

The key point: BrainChip doesn’t have to sell into every single market directly. Through partners and licensees, Akida can scale into millions—and potentially billions—of devices. That’s the leverage built into this business model, and why the real impact might be far larger than many investors currently imagine.”

 

[Pom down under]

Since we’re all just speculating here anyway because of the lack of announcements…and even dragging ChatGPT into it…I figured I’d go ahead and ask a question myself.

“Okay, let’s spin a plausible scenario based on what we already know about BrainChip, Akida, and its partners and licensees. When you follow the chain step by step, you start to see how Akida could spread across entire value chains.

It begins with partners like Renesas, Edge Impulse, Prophesee, and Valeo. Renesas can embed Akida directly into their MCUs and SoCs, which are already shipped in millions of devices for automotive, IoT, and industrial control. Edge Impulse makes Akida available as a standard option for developers training and deploying models worldwide—think of it like an app store effect for AI. Prophesee integrates Akida into their event-based cameras, opening doors for drones, security, and AR/VR. And Tier-1 suppliers like Valeo can push Akida into automotive use cases such as driver monitoring, sensor fusion, and predictive maintenance.

Now look at their customers. A Renesas client, for example Toyota, VW, or Tesla, could adopt Akida-enabled chips in ECUs—meaning millions of cars per year. An Edge Impulse customer building wearables could launch a smartwatch with ultra-efficient on-device speech or health monitoring. A Prophesee client like Sony, Bosch, or a drone manufacturer could embed Akida into their camera modules—spreading the technology into consumer and industrial markets.

Once it starts, it triggers a chain reaction. If Toyota integrates Akida-based chips, suppliers like Bosch or Continental will be under pressure to follow with compatible systems. If a smartwatch maker delivers Akida-powered features, giants like Apple and Samsung may need to respond. And if drones with Akida+Prophesee become standard in logistics (Amazon, DHL), defense, or agriculture, adoption cascades across entire industries.

That’s how, within a few years, you could find Akida everywhere:

• in the car (driver monitoring, radar/lidar sensor fusion, predictive maintenance)

• in the home (smart home devices, IoT sensors, security cameras)

• on the body (wearables, health sensors, even medical implants)

• in the sky (drones, satellites, AR/VR headsets with eye-tracking)

• in industry (robotics, quality control, predictive maintenance).

The key point: BrainChip doesn’t have to sell into every single market directly. Through partners and licensees, Akida can scale into millions—and potentially billions—of devices. That’s the leverage built into this business model, and why the real impact might be far larger than many investors currently imagine.”

 

[7für7]

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Of course I will… without dreams, nothing would exist now… you use a lot of things in your daily routine because of a dreamer!