Luke Judge

Luke Judge is a seasoned digital marketing expert with a strong track record in growth marketing through digital channels. 

As the CEO of Hundo, he leads an innovative platform that empowers young people to prepare for the future of work through immersive on-demand content and an on-chain skills wallet. His leadership at Hundo reflects his commitment to leveraging technology for social good and education.

In addition to his role at Hundo, Luke serves as a Non-Executive Director at Tangoo, where he focuses on international growth strategies. 

His advisory roles with Bidnamic, Addesu, and Tactical Agency highlight his expertise in digital marketing and strategic growth. Luke's work with these companies involves guiding them in expanding into new markets, including the US and Latin America.

Luke's career is marked by his ability to drive international expansion and deliver exceptional growth results for businesses. His previous experience as CEO of Incubeta UK & US saw him expand the company’s global footprint significantly. This international exposure has equipped him with a deep understanding of diverse markets and cultures.

As a respected figure in the industry, Luke frequently speaks at conferences and serves as a judge for digital marketing awards. His personal brand embodies innovation, ethical practices, and a dedication to fostering positive change within the industry.

Digital Marketing Advisor

hundo is an immersive on-demand content platform where young people can discover the future of learning and work. Bringing an on-chain skills wallet to help users prove their learning credentials, and employers find their future talent.

Backed by Outlier Ventures, Moscar, Ascension, and Microsoft for Startups.

William De'Ath

Board-level leader with 30 years of experience driving commercial growth, strategic partnerships, and digital transformation across Fortune 500 enterprises, FINMA-regulated advisory, and Web3 ventures. Proven track record of securing institutional blockchain adoption and delivering measurable ROI. Recognised for bridging traditional industries and emerging digital asset ecosystems to create scalable, compliant, and profitable innovation.

I have led global business growth, partnerships, and innovation across enterprises and startups alike,  from ExxonMobil, Chevron, and SGS to blockchain pioneers such as Hedera’s Hashgraph Association, Noumena Digital, and Consensus Capital, a FINMA-regulated advisory group in Geneva. My career brings together the discipline of corporate strategy with the dynamism of entrepreneurial execution.

At AlphaTON Capital, I lead sourcing of revenue‑generating companies across the TON/Telegram ecosystem, building proprietary deal flow, qualifying targets in DeFi, gaming, and mini‑app infrastructure, and initiating thesis‑driven outreach to founders and operators; I coordinate initial diligence (market, product, unit economics) and shape acquisition pipelines aligned to portfolio growth. Let's not forget investment deal flow into our group too.

At Consensus Capital, I support ultra-high-net-worth individuals, family offices, funds, and corporations by designing institutional-grade digital asset strategies, anchored in Swiss regulatory assurance. 

At Hedera’s Hashgraph Association, I drove enterprise/government DLT adoption, leading the Taurus SA integration for HBAR custody/staking with State Street, Deutsche Bank, Crédit Agricole, and Swissquote, and built an institutional GTM pipeline that added hundreds of high-value introductions.

Co‑Founder & CEO, GBC.AI: pivoted AI/ML technology to counter crypto scams, raised funds and launched a consumer product adopted by thousands in 3 months. At AI Dock, I secured the first enterprise clients. I secured $28M in ARR at PETRONAS through Fortune 500 contracts.

I specialise in transforming strategy into measurable results:

- Building partnerships that unlock new markets and revenue streams.

- Scaling emerging technology solutions in ESG, supply chain, payments, loyalty, and digital identity across listed enterprises.

- Translating complex technologies (DLT, AI, IoT) into board-level business outcomes.

Driving transformative solutions. Connect to explore strategic opportunities.

"Everything should be made as simple as possible, but not simpler."

Co Founder | Wallet Guardian AI powered Anti-scam (Chrome Web Store)

GBC.AI "Wallet Guardian" protects Cryptocurrency and Digital Assets investors' wallets, providing "Do Your Own Research" with one click to detect malicious smart contracts before interacting.

Guardians of the Blockchain create Artificial Intelligence Security Superpower tools to enhance and protect Blockchains users.


Blockchains are young, experiencing infinite growing pains such as but not limited to delays, bottlenecks, attacks, hacks, spamming, security concerns, and dropouts. When a Blockchain has one of these growing pains or problems, more often than not, the entire network may need to be stopped to fix the issue. The services and protocols utilising the Blockchain also stop functioning, such as DAOs, DeFi, MetaVerses, NFTs, Tokens, TradFi, Supply Chains, Governments services, and essential privacy reliant Healthcare Systems.

GBC.AI construct proprietary AI-powered security products and services to detect protocol issues and ensure vulnerabilities are pre-actively dealt with before they become problems, keeping blockchains efficient and users safe while allowing for exponential growth.

William Ath

Play it again, Sam

Your data is currently sitting on a GPU (the computer brain that powers AI), being processed by an LLM (ChatGPT, etc.).

But is that GPU secure?

Most people don't think about this. You send your prompt to ChatGPT, Claude, or your company's AI model. It hits a GPU somewhere in a data centre. Gets processed. Sends back a response.

Job done, right?

Except whilst that GPU is working on your data, it's completely exposed in GPU memory.

The cloud provider can see it. Their engineers can access it. Anyone who compromises that system can read it.

Uploading confidential documents for analysis? Customer data for insights? Proprietary code for debugging?

All sitting there in plain text on someone else's GPU.

This is why confidential computing GPUs matter.

They create a secure enclave (a locker) around your data, encrypting it even whilst the GPU is actively processing it. Nobody outside that enclave can see what's happening inside. Not the cloud provider. Not their staff. Nobody.

If you're running AI workloads on sensitive data, this isn't optional anymore. 

Data is at risk so de-risk it with our Confidential Computing NVDIA GPUs.

Are you thinking about GPU security when you use AI?

William De Ath

AlphaTON Capital (NASDAQ: ATON) | Chief Partnership Officer | Board-Level Commercial & Partnerships Leader.

STUDENTS ARE OUR FUTURE EXCEPT

The EPFL Student Blockchain Association (BSA) students.

Why? They are not just the future, they are the future NOW!

- Two years ago, I attended the first BSA conference and was super impressed as it made some professional events look rubbish. 

- One year ago, I attended the second BSA conference, and my organisation at the time sponsored it with my tech team. Wow, they raised the game.

- This year, my organisation AlphaTON Capital (NASDAQ: ATON) is supporting them raise the bar higher, not only my organisation, but also check out those sponsors. 

I will be holding a "fireside chat" with Carmen Hett, Head of Treasury for the UN Refugee Agency, on the subject of Treasury "On Chain" UNHCR Transformation: Adoption of blockchain technology, tokenisation, and the use of stablecoins.

Did you know the UNHCR, the UN Refugee Agency introduced its first stablecoin‑based payments in December 2022 to provide aid assistance to internally displaced people in Ukraine? 

For developers, there is a Hackathon. 

This is the generalist TON track, so you can build anything you want as long as it makes sense on TON and can realistically win users in today's ecosystem. (Telegram has one billion monthly active users)

We will judge entries on three things: idea, execution, and product-market fit. With a prize pool totalling over $10k 

We even have a special WonTon Soup Prize 🍜 :

Not every great idea is perfectly executed, and that's okay. The Wonton Soup Prize is awarded to the entry that shows the most outstanding creative vision or innovative thinking, even if the execution didn't quite land. Whether you're a new coder, a first-time builder, or someone who swung big and missed, this one's for you.

You may not have won... but you won TON. 🥣

Do you want to know more? 

Conference sign up: https://luma.com/nepg7a02

Hacka-TON sign up: https://luma.com/u5vssgpt

Click here: Blockchain Student Association - EPFL.

Oh, and if you don't know EPFL in Switzerland, search because the future of innovative technology is this Nebula!

Polo! 

Not Ralph Lauren.

Ponies... Polo Ponies 

Really happy to be supporting Digital Assets & Web3 London again this year as an Ambassador.

Last year, I flew in from Switzerland and was at the venue within 30 minutes of leaving Heathrow. It's this incredible hidden gem that feels worlds away from the usual stuffy conference halls and, honestly, such a breath of fresh air. (Literally)

What actually stuck with me, though, was how easy it was to have real conversations. Between the "in-the-round" sessions and the 1:1s, the whole format just felt natural rather than forced. It's one of those rare events where you actually get to connect with the right people.

Plus, the food was amazing (the Michelin-star rumours are definitely true), and catching the sunset over the polo field was a pretty unforgettable backdrop for networking.

Can't wait to be back there this summer with Robby Yung, Alexandra Lloyd LL.M, Simon Barnby and many others.

 

Korby Hayre and her team are the FORCE behind this event on the 18th of June, and she will be dropping details in the comments.

CAN YOU KEEP A SECRET?


Maybe it shouldn't be kept a secret.

We worked hard on this one.

Well done, team.

Proud to be partnered with Midnight Foundation led, by Fahmi S. and an excellent team.

On International Women's Day 2026, a big shout-out to Brittany Kaiser, who inspired us to build Vera Report. I am proud to be working with her, too.

If you want to know more, drop a DM

Vera Report was shaped by AlphaTON CEO Brittany Kaiser’s experiences as a whistleblower, and she hopes it’ll move the needle on fraud.

Open article: Smell Fraud? This Telegram App Was Built to Reward Whistleblowers by decrypt.co

Smell Fraud? This Telegram App Was Built to Reward Whistleblowers

𝗠𝗼𝘀𝘁 "𝗽𝗿𝗶𝘃𝗮𝗰𝘆-𝗳𝗶𝗿𝘀𝘁" 𝗔𝗜 𝗰𝗹𝗮𝗶𝗺𝘀 𝗳𝗮𝗹𝗹 𝗮𝗽𝗮𝗿𝘁 𝗮𝘁 𝗟𝗮𝘆𝗲𝗿 𝟮.

After 30 years of building partnerships across enterprise and recently deploying GPU infrastructure across Europe and North America, here's the 4-layer framework I use to evaluate whether AI compute is genuinely sovereign, or just marketing.

𝗧𝗵𝗲 𝗦𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻𝘁𝘆 𝗦𝘁𝗮𝗰𝗸:

𝗟𝗮𝘆𝗲𝗿 𝟭: 𝗖𝗼𝗺𝗽𝘂𝘁𝗲

→ Who owns the GPUs? Where are they physically located?
→ Is the data centre in a jurisdiction with strong privacy laws?

𝗟𝗮𝘆𝗲𝗿 𝟮: 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹

→ Does the hardware support confidential computing at the chip level?
→ Can the operator access your prompts? If yes, it's not sovereign.

𝗟𝗮𝘆𝗲𝗿 𝟯: 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻

→ Is there end-to-end encryption from prompt to response?
→ Does the interface enforce privacy by design?

𝗟𝗮𝘆𝗲𝗿 𝟰: 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲

→ Who decides how the infrastructure evolves?
→ Is there decentralised oversight, or a single corporate board?

NVIDIA's Blackwell B200+B300 architecture now enables hardware-level confidential computing,  encrypting all data in GPU memory and NVLink pathways. This makes Layer 2 achievable at scale for the first time.


The EU understands this. With 15 AI factories coming online by 2026 and the AI Act now requiring transparency on high-risk systems, Europe is building sovereignty into infrastructure, not just policy.

Save this framework. Use it the next time someone tells you their AI is "privacy-first."

Which layer do you think enterprises overlook most?

Most AI and Blockchain companies lose the deal before the first meeting ends.

Not because the tech isn't good.

Because they pitch at Stage 1 and expect Stage 5 behaviour.

I've watched this pattern destroy deals that should have closed. A founder walks in with genuinely impressive technology. Weeks later....sometimes days..... It's dead.

The tech didn't fail. Trust did.

So I built something called The Adoption Bridge, a 5-stage model for how institutions actually adopt emerging technology:

- Stage 1: Curiosity "Tell me more"
- Stage 2: Compliance Mapping "Can legal and risk approve this?"
- Stage 3: Pilot "Let's test it small and contained"
- Stage 4: Integration "How does this connect to what we already have?"
- Stage 5: Ecosystem Participation "We want to build on this"

When I integrated AI and ML to audit import/export government data at SGS in 2020, a publicly listed, world-leading organisation, I didn't lead with the technology.

I led with this:

"We can help you do what you already do. Faster, better, cheaper. 24/7/365, never sick, doesn't take knowledge to the next highest pay-check and all with technology that never stops learning, never forgets, and is already regulatory-compliant."

That opened the door.

Then I spent months in Stages 2 and 3, demos, testing, and regulatory alignment, before the organisation was ready to integrate fully.

Here's the uncomfortable truth most founders won't admit:

They're impatient.

They see Stage 1 interest and think the deal is nearly closed.

It isn't.

Enterprise and institutional buyers need to know you understand their constraints, their internal processes, and their risk appetite. That takes time. That takes patience.

The founders who win? They don't rush Stages 2 and 3.
They build trust there.

Save this framework and use it the next time a deal stalls or a pitch isn't landing.

Which stage does your organisation typically get stuck at?

The Adoption Bridge

Outsourcing AI used to mean handing over your data and hoping for the best.

Confidential compute quietly changes that equation.

If a third-party provider can provably demonstrate that your data was not visible to their engineers or their infrastructure, the conversation shifts from trust to verification. That's not a small thing. That's the difference between a legal risk and a commercial decision.

Suddenly, the economics look different.

More specialised AI providers can compete for regulated workloads they were previously excluded from. 

Enterprises can outsource without exposing their crown jewels.

The interesting question is who prices this correctly first. Providers who understand the value of provable privacy could charge a premium that reshapes the entire outsourcing market.

Does verified privacy become the new baseline, or does it remain a premium feature that only regulated industries care about?

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Luke Judge

William Ath

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The Battle

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}William Ath's LinkedIn Performance

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