BRN Discussion Ongoing

[Frangipani]

Cecilia Pisano from Nurjana Technologies has repeatedly liked BrainChip posts on LinkedIn, and hence her Sardinia-based company has been mentioned by several forum members as potentially playing with Akida:

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And here’s the proof that it was indeed worth keeping an eye on Nurjana Tech :

#edgeai #tinyml #neuromorphic #spintronics #photoniccomputing #aimlsys2025 #lowpowerai #futuretech #callforpapers #linkedinresearch #aiatedge | Arijit Mukherjee

Paper submissions now open for EDGE-X: Rethinking Edge Intelligence 📍 Co-located with AI-ML Systems Conference 2025 | Chancery Pavilion, Bangalore | October 8, 2025 🧠 Topics include: • On-device learning and inference • ML/DL optimization for memory, latency, and power • Hardware-software...

www.linkedin.com

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Home - NurjanaTech

NurjanaTech provides a wide range of engineering capabilities to support a global customer base whose operations and complex environments require a partner that possesses unique expertise and comprehensive solutions.

www.nurjanatech.com

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https://www.linkedin.com/in/cecilia-pisano-6924a9321/

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Three weeks ago, Cecilia Pisano shared on LinkedIn that Nurjana Technologies had been “applying Brainchip Akida to real use cases for more than 1 year”, when she commented on a post by Arijit Mukherjee from TCS .

At the time, her profile picture already signalled that she were #Opentowork. However, her posts about being “incredibly proud to be part of Nurjana Technologies” and her involvement in several recent company projects had suggested to me she might be looking for an additional part-time role rather than a new full-time role.

Give Me Some Space! -1 | Exotopic | Cecilia Pisano

I'm incredibly proud to be part of Nurjana Technologies as we take a giant leap forward in the space industry! 🚀 Yesterday, at the UK Houses of Parliament, the "𝗚𝗶𝘃𝗲 𝗠𝗲 𝗦𝗼𝗺𝗲 𝗦𝗽𝗮𝗰𝗲!" mission was announced — bringing together top international space companies to showcase cutting-edge tech for...

www.linkedin.com

#eda #stealth #uav #rapidprototyping | Cecilia Pisano

Forza Nurjana Technologies. Forza ESTECO , Luxembourg Institute of Science and Technology (LIST) , Rafinex , Gradel S.à r.l. . Let’s make the most of this fantastic opportunity 💪💪💪#EDA #stealth #uav #rapidprototyping

www.linkedin.com

Sign Up | LinkedIn

500 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.

www.linkedin.com

#edgeai #spacesituationalawareness #ssa #satellites #payloads #innovation #grateful | Cecilia Pisano

It is great to be part of the Staalion EDF project, where some of my ideas around leveraging innovative cameras and processors for edge AI are starting to take shape. It’s a privilege to work at Nurjana Technologies, a company that truly supports forward-thinking ideas and gives me the space to...

www.linkedin.com

Today, she posted on LinkedIn about “taking a well-deserved break to focus on personal projects” and that it felt like “the perfect time to work on a patent and prototype a new idea”, but said that at the same time she were “actively exploring new opportunities in technology strategy, research and development”.

She also uploaded her CV, in which she detailed what kind of work she had done during her time as R&D Lead Engineer at Nurjana Technologies before resigning recently, part of which was “developing advanced optical payloads for satellites and drones, including event-based cameras and neuromorphic processors.”

#techstrategy #researchanddevelopment #artificialintelligence #productdevelopment #digitaltwins #innovation #careergrowth #sardinia #uk #emea #engineeringleadership #techleadership… | Cecilia Pisano

End of a chapter. Taking a well-deserved break to focus on personal projects—this feels like the perfect time to work on a patent and prototype a new idea. At the same time, I’m actively exploring new opportunities in technology strategy, research, and development where I can blend my skills...

www.linkedin.com

It will be interesting to follow up on what she will end up doing in the coming months.

Founding her own startup is one option as well:

Launching a Startup Program | Stanford Graduate School of Business | Cecilia Pisano

#launching a startup program 'Analyze various techniques to develop a product prototype. Conduct effective interviews with potential customers to develop your customer personas. Create and describe a value proposition for a specific product. Develop a go-to-market (GTM) plan, and determine key...

www.linkedin.com

Will her wish to see an Akida 2.0 reference chip be granted?
To date, our CTO has not replied to her comment.
It seems Cecilia Pisano has something specific in mind she could very well use it for…

BrainChip and Raytheon Form Strategic Partnership on AFRL Neuromorphic Radar Project - Embedded | embedded.com

BrainChip and Raytheon Form Strategic Partnership on #AFRL #Neuromorphic #Radar Project

www.linkedin.com

 

[MegaportX]

Is today a day for news that may quiet the party Poopers.



MegaportX

 

[Pom down under]

What about 9 million that's friction and this year so we have been told by Sean .
Once we see that arrive things will change for brn.

I’m positive but probably wrong that Sean said at the AGM regarding when we expecting it and he said maybe this year probably next

 

[smoothsailing18]

I’m positive but probably wrong that Sean said at the AGM regarding when we expecting it and he said maybe this year probably next

My recollection is he most definitely said 9 million this year the next question was on royalties which he said would be next year.

I can't remember which podcast it was and at what time point Sean made the comment it would be much appreciated if someone could assist on this please ?.

 

[AARONASX]

 

[7für7]

Honestly, I think Sean’s “$9M revenue” comment at the last AGM was just communicated a bit awkwardly. My takeaway is that he was talking about it as a target, not guaranteed revenue already locked in.

And honestly, it wouldn’t even make sense to casually drop something that pricesensitive when they’re usually so picky about what qualifies for an official ASX announcement.

So I don’t get why people expect the price to suddenly explode when it shows up on paper it’s not “new news,” it’s simply the company working toward that goal. If you believe they’ll hit it, wouldn’t it make more sense to buy now rather than chase the spike later? Unless of course the shorts are just sitting there waiting to hammer it down again…

 

[Bravo]

Honestly, I think Sean’s “$9M revenue” comment at the last AGM was just communicated a bit awkwardly. My takeaway is that he was talking about it as a target, not guaranteed revenue already locked in.

And honestly, it wouldn’t even make sense to casually drop something that pricesensitive when they’re usually so picky about what qualifies for an official ASX announcement.

So I don’t get why people expect the price to suddenly explode when it shows up on paper it’s not “new news,” it’s simply the company working toward that goal. If you believe they’ll hit it, wouldn’t it make more sense to buy now rather than chase the spike later? Unless of course the shorts are just sitting there waiting to hammer it down again…

That's how I understand it too. The $9M revenue via bookings is definitely not guaranteed, rather it's a target tied to Sean's bonus.

Also, I'm pretty sure I read somewhere that the target is only tied to a percentage of Sean's bonus (50% I beleive), so if the $9M isn't achieved, Sean will still receive the remaining 50% of the bonus.

Sean was also asked about “royalties” this year and he stated that they were unlikely but possible.

Please fee free to correct if this is inaccurate.

 

[7für7]

At least we don’t have a nonsense pump this time… maybe it will skyrocket after all…

Can you believe it? I’m happy for the dipp

 

[smoothsailing18]

FF

Brainchip x Prophesee

Enhancing Ocean Safety with Efficient AI-Powered Detection Arquimea has deployed Akida with a Prophesee camera on a drone to detect distressed swimmers and surfers in the ocean helping lifeguards scale their services for large beach areas, opting for an event-based computing solution for its...

brainchip.com

 

[7für7]

FF

Brainchip x Prophesee

Enhancing Ocean Safety with Efficient AI-Powered Detection Arquimea has deployed Akida with a Prophesee camera on a drone to detect distressed swimmers and surfers in the ocean helping lifeguards scale their services for large beach areas, opting for an event-based computing solution for its...

brainchip.com

 

[smoothsailing18]

I wonder if this Propesse and brainchip partnership will lead us to Sony through Propesse already existing partnership with them .
Qualcomm also in the mix.

I want to hold a phone with brainchip inside ,that's my dream that I want to become a reality.

Finger's .

 

[SERA2g]

That's how I understand it too. The $9M revenue via bookings is definitely not guaranteed, rather it's a target tied to Sean's bonus.

Also, I'm pretty sure I read somewhere that the target is only tied to a percentage of Sean's bonus (50% I beleive), so if the $9M isn't achieved, Sean will still receive the remaining 50% of the bonus.

Sean was also asked about “royalties” this year and he stated that they were unlikely but possible.

Please fee free to correct if this is inaccurate.

It was 100% a target and anyone who misunderstood that has their ears painted on.

It was specifically confirmed by Sean and Antonion that Sean's performance bonuses would be tied to a bookings target, which was later revealed as being $9m.

It's been a while since I've looked at the rem reports etc but pretty sure Sean's rem package is a salary of circa $400k + up to 100% of his salary as a bonus pending meeting performance hurdles (in this case $9m bookings). Don't quote me on the 100%, it could be 50%, it could be 75%.

I think the bonus is in shares rather than cash, but that also not sure on that point.

Basically i'm not sure of anything. LOL

 

[Mazewolf]

Each use case below leverages the Akida chip in tandem with either an emerging technology or a widely adopted existing system, while remaining speculative and unannounced by BrainChip.

1. Adaptive Smart Textiles for Athlete Biomechanics​

Tech Basis: Wearable smart fabrics + IMU sensors + Akida Pico
Why It Works: Textile-integrated IMUs capture motion events; Akida classifies movement anomalies on-device with near-zero latency.

Innovation:

• Real-time biomechanics monitoring during performance
• SNNs adapt to individual motion signatures over time
• Power-efficient enough to run on body heat/kinetic energy harvesting

Commercial Potential:

• High-value market in elite sports, injury prevention, and physiotherapy
• White-label integration into Nike, Adidas, Under Armour gear
• Potential licensing model with athletic teams & institutions

2. Privacy-Preserving Voice Biometrics in ATMs or Public Kiosks​

Tech Basis: Voice recognition + federated learning + Akida Pico
Why It Works: Low-power voiceprint analysis embedded in terminals (e.g., ATMs, ticketing kiosks)

Innovation:

• On-device biometric authentication without transmitting voice data
• Akida enables federated learning: learns user accents without uploading samples
• Resistant to spoofing via real-time pattern analysis of vocal spiking patterns

Commercial Potential:

• Regulatory-compliant (GDPR/HIPAA) biometric security solution
• Marketable to banks, governments, airports
• Vast deployment potential in low-bandwidth regions

3. Brain–Computer Interface Prosthetic Controller​

Tech Basis: Non-invasive EEG headsets + Akida Pico + AR/VR systems
Why It Works: Spiking data from EEG translated into control signals in real time

Innovation:

• Akida enables localized learning of brainwave-to-motion patterns
• Eliminates cloud latency for prosthetic or exosuit control
• Integrates with AR HUDs (Hololens, Apple Vision Pro) to give real-time feedback

Commercial Potential:

• Disability tech, military rehab, elder care
• Potential B2B partnerships with neural interface firms (e.g., NextMind, Cognixion)
• Patented BCI controller layer could be monetized

4. Autonomous Microdrones for Indoor Logistics​

Tech Basis: Optical flow sensors + time-of-flight cameras + Akida Pico
Why It Works: Event-based vision allows Akida to detect motion, object proximity, and learn dynamic obstacles inside warehouses

Innovation:

• Microdrone fleet coordination through edge-based real-time navigation
• Akida performs on-device object recognition and path optimization
• Scales better than centralized models due to bandwidth-free coordination

Commercial Potential:

• Indoor logistics and inventory management (Amazon, Alibaba)
• SaaS platform for microdrone AI optimization
• New market: drone task-outsourcing in tight/confined environments

5. On-Device Anti-Spoofing for Large-Scale Facial Recognition​

Tech Basis: Facial recognition cameras (standard CMOS) + Akida Pico + AI edge gateways
Why It Works: SNNs are highly efficient in recognizing temporal inconsistencies (e.g., blinking, micro-expressions) that reveal deepfakes or spoof attacks

Innovation:

• Real-time liveness detection without cloud connection
• Learns individual user variability (e.g., eye movement cadence)
• Can be integrated in access control systems or consumer phones

Commercial Potential:

• Government-grade ID verification (airports, border control)
• Secure enterprise logins (Zero Trust architecture)
• Plug-and-play anti-deepfake security module for existing surveillance systems

Summary Matrix​

Use Case	Tech Combo	Domain	Revenue Potential	Competitive Edge
Smart Textiles	IMU + Akida	Sports Med	High	On-device learning
Voice Biometrics	Voice + Federated + Akida	Fintech / Govt	High	Privacy-preserving
BCI Prosthetics	EEG + Akida + AR	Medtech	Medium-High	Real-time neuro AI
Microdrone AI	Vision + Akida	Logistics	High	Bandwidth-free autonomy
Liveness Detection	Vision + Akida	Security	High	Edge deepfake resistance

 

[Mazewolf]

Here are five high-revenue, Fortune 500-aligned examples where the Akida neuromorphic chip can provide or secure an innovative competitive advantage through integration into core product offerings or internal infrastructure. Each case includes the company's strategic needs, how Akida helps, and the competitive edge it introduces:

1. Apple Inc. – Next-Gen Smart Hearing & Spatial Audio Devices​

Use Case: On-device adaptive hearing personalization in AirPods or future wearable audio devices
Akida’s Role: Ultra-low power neural processing for real-time noise filtering, hearing profile adaptation, and spatial sound tracking using spiking audio data
Strategic Need: Apple seeks tighter integration of personalized, health-linked audio and real-time spatial computing (e.g. Vision Pro ecosystem)
Competitive Edge:

• Differentiates AirPods with on-device auditory intelligence
• Enhances privacy (no audio sent to cloud)
• Adds value to Apple's broader Health & Accessibility offerings
  Revenue Potential: >$20B segment (Wearables/Home/Accessories)

2. Amazon – Intelligent Edge for Echo & Warehouse Robotics​

Use Case: Decentralized AI for Echo devices and Kiva robotics, enabling faster and more private local decisions
Akida’s Role: Integrate into Echo speakers and warehouse robots to reduce cloud inference latency and power draw
Strategic Need: Amazon wants to improve energy efficiency and reduce server-side compute costs for Alexa and fulfillment operations
Competitive Edge:

• Faster local response = better UX
• Lower cost of compute per user interaction
• Scalable privacy-respecting smart home ecosystem
  Revenue Potential:

• $40B from Alexa/Smart Devices

• ~$200B+ logistics operations savings at scale

3. Tesla – Ultra-Efficient Perception for Autonomous Driving Edge Cases​

Use Case: Low-power, always-on perception for vision-based driver monitoring systems (DMS) or secondary sensors
Akida’s Role: Run SNN models on driver behavior, in-cabin motion, and fatigue without taxing the main FSD chip
Strategic Need: Tesla’s Dojo and FSD stack are high-powered; offloading low-level, safety-critical perception to an Akida co-processor improves energy and redundancy
Competitive Edge:

• Compliance with EU/US driver monitoring regs
• Reduced thermal/power burden in vehicles
• Can use temporal learning to personalize driver responses
  Revenue Potential: FSD & Hardware upgrades = $12B+ annually

4. Johnson & Johnson – Neuromorphic Edge in Smart Medical Devices​

Use Case: Smart surgical instruments, diagnostics, or wearables for post-op monitoring that adapt to patient-specific signals
Akida’s Role: Embedded SNN chip for ultra-low power real-time bio-signal classification (e.g., tremor, ECG, EMG)
Strategic Need: J&J is investing in digital surgery (e.g., OTTAVA) and patient-connected devices
Competitive Edge:

• Enables battery-efficient, real-time closed-loop systems
• Devices learn from patient baselines and adjust responses (e.g., haptic feedback)
• Minimizes cloud dependency = faster FDA path
  Revenue Potential: Surgical & Interventional segment >$25B

5. Walmart – Edge AI for Loss Prevention and Shelf Management​

Use Case: Store-edge Akida-enabled cameras for shoplifting detection, shelf stock prediction, and employee activity classification
Akida’s Role: Low-cost edge deployment of computer vision at scale; Akida’s SNN excels at temporal events (e.g., repeated suspicious behavior)
Strategic Need: Walmart needs low-cost, privacy-compliant smart retail systems across thousands of stores
Competitive Edge:

• Real-time shrinkage detection without adding cloud expense
• Improve restocking response with adaptive shelf analysis
• Supports high-scale IoT rollout at marginal cost
  Revenue Potential: Loss prevention impact >$3B annually; Inventory efficiency could save >$5B

Summary Table​

Company	Use Case	Akida Function	Revenue Domain	Competitive Advantage
Apple	Personalized hearing + spatial audio	Adaptive SNNs for audio	$20B+ wearables	Health+privacy differentiation
Amazon	Smart devices + robots	Edge inference, energy saving	$200B infra	Latency + cost reduction
Tesla	Driver monitoring + sensor fusion	In-cabin perception, low power	$12B+ FSD	Redundancy + compliance
J&J	Smart medical systems	Bio-signal adaptation	$25B medtech	FDA-aligned, personalized AI
Walmart	Theft & stock control	On-device CV at scale	$8B+ operations	Retail AI at low TCO

 

[7für7]

That's how I understand it too. The $9M revenue via bookings is definitely not guaranteed, rather it's a target tied to Sean's bonus.

Also, I'm pretty sure I read somewhere that the target is only tied to a percentage of Sean's bonus (50% I beleive), so if the $9M isn't achieved, Sean will still receive the remaining 50% of the bonus.

Sean was also asked about “royalties” this year and he stated that they were unlikely but possible.

Please fee free to correct if this is inaccurate.

That’s why I pointed it out…somehow it made no sense to me…unfortunately when it comes to money, rational thinking often goes out the window. The brain starts spinning a story that feels plausible in the moment, and once several people share the same view, that idea becomes entrenched and no one questions it anymore.

 

[Tezza]

Brn can you please release quarterly today. That gives me a few days to get over the dissapointment before the weekend OR a few days to plan my weekend.

 

[7für7]

Brn can you please release quarterly today. That gives me a few days to get over the dissapointment before the weekend OR a few days to plan my weekend.

To make your disappointment more perfect, they will drop a notification for unquoted securities at the same time! BOOM TAKE THAT

 

[Tezza]

To make your disappointment more perfect, they will drop a notification for unquoted securities at the same time! BOOM TAKE THAT

Yay

 

[7für7]

Yeah come on!…just smash it down… 18…17… I don’t care!! Wohooooo

 

[Rskiff]

Market expectations seem to be low. We live in hope, not the ideal investment policy.