In Switzerland alone, 300 billion in female money sits uninvested. Globally, the figure is 40 trillion. Meanwhile, a 30-year-old hedge fund manager from Tel Aviv who grew up in a 25-square-meter public housing unit now manages billions using quantum-physics-based algorithms that returned almost 90% in the worst year since the financial crisis. This panel brings together radically different investment philosophies — from democratizing ETF access for women to defense-tech VC to algorithmic crypto trading.

WHAT THIS PANEL COVERS

• Why elleXX hit the European crowd-investing record for female founders using tokenized shares on blockchain, after being turned down by hundreds of traditional VCs because only 1% of global VC flows to women
• How AlgoBless’s quantum-physics-based trading algorithms delivered nearly 90% returns in 2022 when the S&P 500 was down 20%, using 200 trades per day across 240–280 filtered companies
• Why defense technology and longevity are outperforming traditional VC sectors, with 2–3x returns in just one to two years and a first unicorn expected this year
• How Black River Ventures navigates late-stage investing with $20–30 million checks in pre-IPO fintech and IoT companies, and why secondaries are democratizing access to mature private companies
• Why financial literacy starting at age five is the single most important lever for closing the wealth gap, with Israel mandating finance education in every school next year

PANELISTS

• Yuri — Founder, VentureVNTR (Moderator)
• Patrizia Laeri — Co-Founder & CEO, elleXX
• Naor Baruch — Founder, AlgoBless
• Andrey Marus — Partner, VentureVNTR & Co-Organizer, Unicorn Events
• Alex — Black River Ventures

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: investment strategies, smart capital, female investors, fintech, elleXX, algo trading, hedge fund, AlgoBless, defense tech, longevity investing, late stage VC, pre-IPO, tokenized shares, blockchain investing, ETF, financial literacy, wealth gap, crypto trading, venture capital, unDavos, Davos 2026, WEF

Todd Ault had $200 million in the bank and couldn’t make payroll. During COVID, with bank branches physically closed, his company was debanked for the seventh time — including his wife’s Girl Scout Cookie account. The founder of Hyperscale Data (NYSE: GPUS) and the 34th largest public Bitcoin holder in the world delivers a raw keynote on how systemic debanking drove him to DeFi, politics, and building his own Layer 1 blockchain.

WHAT THIS PANEL COVERS

• How a publicly traded company with $200 million in the bank was debanked during COVID with no appeals process, no explanation, and 30 days to move 57 accounts
• Why 1.7 billion people worldwide are excluded from the banking system, and how DeFi wallets offer the only reliable path to financial self-custody
• How Todd’s journey from debanking to political engagement led him to work directly with US policymakers on crypto regulation and the Genius Act
• Why Switzerland is emerging as the global hub for tokenization, with progressive laws that didn’t exist a few years ago enabling new payment tokens and real-world asset structures
• Why anyone looking to tokenize should start with assets they already own rather than trying to raise new capital in a market that lacks liquidity for real-world assets

SPEAKER

• Milton “Todd” Ault III — Founder & Executive Chairman, Hyperscale Data (NYSE: GPUS); Founder, Ault Capital Group

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: debanking, DeFi, decentralized finance, Bitcoin, tokenization, real-world assets, RWA, Hyperscale Data, GPUS, cryptocurrency regulation, Genius Act, Switzerland crypto, blockchain, financial inclusion, KYC, self-custody, Todd Ault, New York Stock Exchange, unDavos, Davos 2026, WEF

700,000 people die from suicide every year. Over a billion suffer from mental health conditions. Yet psychiatry still diagnoses depression by asking patients if they feel sad — and current medications work for only 30% of people. Mariam Khayretdinova, CEO of Brainify AI, shares the story of Jay, a brilliant, successful woman who was assessed as “low suicide risk” and died two hours after being discharged. Her keynote makes the case for why AI, trained on massive brain datasets, may be psychiatry’s best hope.

WHAT THIS PANEL COVERS

• Why psychiatry is the only major medical field with zero biological measurement — diagnoses are built entirely on symptomatic questionnaires, leading to 70% misdiagnosis rates
• How Brainify AI’s foundational brain model, trained on data from 500,000 patients, can identify biological patterns invisible to human clinicians and stratify patients by treatment response
• Why “heterogeneity” — where identical symptoms hide vastly different biological causes — is the core challenge, and why depression likely comprises thousands of distinct disorders
• How behavioral data from social media and online activity could predict suicidal individuals and route alerts to emergency systems using data that already exists
• Why building AI for mental health requires 13-trillion-token scale datasets, and why the brain’s diversity across ethnicity, culture, and life experience makes this a fundamentally global challenge

SPEAKER

• Mariam Khayretdinova — Co-Founder & CEO, Brainify AI; Author, “Decoding Despair: How AI is Reshaping Psychiatry”

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: mental health, AI psychiatry, depression, suicide prevention, brain health, Brainify AI, precision psychiatry, biomarkers, EEG, drug development, mental health stigma, heterogeneity, personalized medicine, Decoding Despair, neuroscience, brain data, unDavos, Davos 2026, WEF

A LiDAR sensor that sees through mud and rain. A foundational brain model trained on half a million patients. A computer vision system that boosts farm profitability 35% using just a smartphone camera. And a nonprofit exploring how machines might one day talk to bacteria. Four founders showcase AI technologies at wildly different stages of maturity — from commercial deployment with BMW and Volkswagen to the philosophical frontier of machine consciousness.

WHAT THIS PANEL COVERS

• How Innoviz’s LiDAR technology enables Level 3 autonomous driving — eyes off the road — with robot taxis launching in the US and Germany by end of 2026 through partnerships with Volkswagen and BMW
• Why Brainify AI’s foundational brain model, trained on 500,000 patients, could finally decode the biological underpinnings of depression and anxiety — conditions currently diagnosed by questionnaire alone
• How C-Crop’s computer vision counts and measures fruit using only a smartphone camera, delivering 20% yield increase and 35% profitability gain in agriculture, the most data-saturated yet least digitalized industry
• Why the California Institute for Machine Consciousness is exploring bidirectional communication with biological substrates — from brain-computer interfaces to talking to the microbiome
• Why only 1 out of 120 AI investors does actual deep due diligence, and what that means for the quality of companies getting funded

PANELISTS

• Omer Keilaf — Co-Founder & CEO, Innoviz Technologies
• Mariam Khayretdinova — Co-Founder & CEO, Brainify AI
• Pavel Hilman — Co-Founder, C-Crop
• Joel Dietz — Acting Research Director, California Institute for Machine Consciousness
• Doron Amir — SandboxAQ

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: LiDAR, autonomous vehicles, self-driving cars, Innoviz, brain health AI, Brainify, precision psychiatry, agritech, computer vision, agriculture AI, machine consciousness, brain-computer interface, AI investment, due diligence, Level 3 autonomy, BMW, Volkswagen, unDavos, Davos 2026, WEF

If the majority of AI’s value comes from cutting jobs, only a select few will become billionaires while the rest of us become jobless. SandboxAQ’s Doron Amir argues we’re at a fork in the road: Large Language Models optimize efficiency, but Large Quantitative Models — trained on physics and mathematics rather than internet text — can create entirely new sciences, new industries, and new jobs. This keynote reframes the AI conversation from reduction to creation.

WHAT THIS PANEL COVERS

• Why LLMs hit a “semantic dead end” in high-value science — confidently giving wrong answers to physics questions until connected to quantitative models that get the math right
• How SandboxAQ’s Large Quantitative Models serve as a “rigorous computational engine” that has already identified novel drug candidates targeting obesity, ready for synthesis
• Why the AI industry skewed too heavily toward LLMs after ChatGPT, and why leaders like Yann LeCun, Fei-Fei Li, and Ilya Sutskever are now calling for new architectures
• How quantum sensing — boosted by AI to increase signal and reduce noise — is accelerating quantum technology applications today, without waiting for quantum computers
• Why the strategic framework should prioritize discovery over efficiency, resist short-term thinking, and augment humanity rather than replace it

SPEAKER

• Doron Amir — SandboxAQ (spun out of Google/Alphabet)

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: SandboxAQ, Large Quantitative Models, LQM vs LLM, AI and physics, quantum sensing, drug discovery AI, artificial general intelligence, AGI, AI architecture, Google Alphabet, zero-sum trap, AI job creation, abundance economics, responsible AI, quantum technology, unDavos, Davos 2026, WEF

There are now more crypto users — over 400 million — than the combined populations of the United States and Canada. Eight out of ten banks are experimenting with blockchain rails. Yet the Cardano Foundation just completed the first-ever on-chain financial audit with a cryptographic signature from Grant Thornton, and Filecoin is backing up government data from Bermuda. This panel goes beneath the price charts to where blockchain is quietly becoming infrastructure.

WHAT THIS PANEL COVERS

• Why the Cardano Foundation’s on-chain audit — verified by Grant Thornton using a virtual legal entity identifier — represents a new standard for corporate transparency and trust
• How Filecoin’s decentralized storage eliminates single points of failure, backing up data from the government of Bermuda, MIT open courseware, and the Internet Archive
• Why Hedera’s governing council of 39 Fortune 500 companies including Google, Boeing, and Deutsche Telekom bridges the gap between decentralization and enterprise-grade governance
• How Boston Trading launched the world’s first Halal, Kosher, and Sanata Dharma crypto funds — making inclusive finance real with radical transparency showing live holdings
• Why the real barrier to blockchain adoption is not technology but trust, relationships, and the human reluctance to take on the responsibility of self-sovereignty

PANELISTS

• Shiraz — Panel Moderator
• Clara Tsao — Founding Officer, Filecoin Foundation
• Sandro Knöpfel — Global Business Development Lead, Cardano Foundation
• Kamal Youssefi — President of the Board, The Hashgraph Association (Hedera)
• Jeremy Britton — Founder, Boston Trading Co.
• Anders — Nethermind (Ethereum Protocol)

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: blockchain adoption, Filecoin, decentralized storage, Cardano, on-chain audit, Hedera Hashgraph, enterprise blockchain, crypto mutual fund, inclusive finance, Web3 infrastructure, tokenization, DeFi, public goods, digital identity, self-sovereignty, blockchain governance, unDavos, Davos 2026, WEF

AI could boost the Swiss economy by 85 billion over the next decade — but the real signal is what’s happening at the infrastructure level. Crusoe is building a 1.2-gigawatt data center in Texas as part of Project Stargate, Jiro AI rejuvenated mice using physics-informed models trained on 100 million medical records, and Beebop is turning residential heat pumps into grid-balancing assets. This panel cuts through the hype to show where AI is already creating measurable value.

WHAT THIS PANEL COVERS

• How Crusoe’s vertically integrated AI infrastructure — from power plants to cloud software — is seeing customers shift from training to inference, a clear signal of product-market fit
• Why Jiro AI’s foundational health model identified 40 clusters of age-related diseases, each potentially yielding a blockbuster drug effective across an entire disease family
• How Beebop’s AI algorithms decide which neighbor’s heat pump to dim for five minutes versus which battery to discharge for thirty, all without disrupting comfort
• Why SandboxAQ’s quantum sensing uses AI to boost signal and reduce noise, accelerating quantum technology applications well ahead of quantum computing itself
• How Crusoe deployed smartphone-based AI in manufacturing that identifies spare parts by photo, saving hundreds of hours while eliminating a task every worker hated

PANELISTS

• Liz Perkins — Panel Moderator
• Cully Cavness — Co-Founder & President, Crusoe
• Max Hobin — Co-Founder, Jiro AI
• Sandra Trittin — Co-Founder, Beebop
• Doron Amir — SandboxAQ

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: AI infrastructure, AI scaling, Crusoe, Project Stargate, energy AI, smart grid, virtual power plant, drug discovery AI, longevity, quantum sensing, SandboxAQ, Beebop, renewable energy, data centers, AI manufacturing, inference scaling, precision medicine, unDavos, Davos 2026, WEF

With 40% of government workers set to retire within five years and China deploying dark factories that build hundreds of thousands of cars without humans, this closing session asks the room to name their industry's burning platforms — and stop pretending the fire is not already lit. From tariff shocks to the Klarna rehiring debacle, the urgency is personal, corporate, and geopolitical.

WHAT THIS PANEL COVERS

• Europe's competitive position is eroding in real time — Chinese EVs are materially cheaper and better, and policy barriers are a temporary shield, not a strategy
• 40% of government organization staff will retire within five years, creating an institutional knowledge crisis that AI must address before it is too late
• The audience names their burning platforms: competition, workforce retirement, AI fluency gaps, government policy shifts, and the growing disconnect between executive ambition and operational reality
• Trump's post-Davos tariff announcement was a burning platform most European leaders failed to take seriously — geopolitical disruption accelerates the need for organizational agility
• If this conference were in China, 5,000 attendees would fill the room and every industry would already be robotized — the gap between awareness and action in Europe remains the central challenge

PANELISTS

• Stephan Balzer — Keynote Speaker, Host & Moderator; Managing Director, red onion (Moderator)
• Audience participants

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: burning platform, sense of urgency, AI adoption, Europe competitiveness, China AI, dark factories, workforce retirement, government AI, tariffs, organizational change, enterprise transformation, Davos 2026, unDavos, REWIRE

MIT's Ramesh Raskar and Prof. Dr. Kathrin Kind map the enterprise of 2030-2035: organizations that shrink in headcount but expand in capability, where every employee creates their own AI models and the 'internet of AI agents' replaces today's siloed copilots. From automotive simulation at 21 million virtual miles to the first room-temperature quantum computing startup, this fireside chat moves fast from present deployments to frontier science.

WHAT THIS PANEL COVERS

• Enterprise AI will evolve through three phases — mainframe era (centralized copilots), PC era (employees building their own models), and internet era (networked AI agents communicating across organizations)
• Prof. Kathrin Kind predicts organizations will shrink as AI replaces bureaucratic middle layers, but warns that companies letting go of top talent for automation are making a critical mistake
• MIT's Project NANDA (Network AI Agents in Decentralized Architecture) is building the 'internet of AI agents' — shifting from AI as a tool to AI as an ecosystem you live in, not just use
• AI is progressing from assistant to engineer to scientist: the real breakthrough comes when AI can invent beyond human knowledge distribution, not just discover within it
• The future of jobs is not the current future of jobs — roles are already morphing (marketing becomes 'growth officer,' sales becomes 'empathy contact systems') and 9-to-5 will give way to organic, mission-driven work patterns

PANELISTS

• Stephan Balzer — Keynote Speaker, Host & Moderator; Managing Director, red onion (Moderator)
• Prof. Ramesh Raskar — Associate Professor, MIT Media Lab; Director, Camera Culture Group; Lead, Project NANDA
• Prof. Dr. Kathrin Kind — Professor of AI & Quantum Computing, Paris School of Management; Global CEO, QubitNexus.AI

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: AGI, enterprise AI, MIT Media Lab, Project NANDA, internet of AI agents, quantum computing, AI scientist, future of work, organizational design, solopreneur, decentralized AI, automotive AI, Davos 2026, unDavos, REWIRE

From NVIDIA's AI factories to the EU AI Act's command-center approach, this panel maps the infrastructure layer that makes enterprise AI possible — or impossible. An NVIDIA public sector lead, a Microsoft Asia architect, a Visium CEO, and the architect of Europe's AI regulation debate what it really takes to move from isolated pilots to scalable, interoperable AI systems.

WHAT THIS PANEL COVERS

• NVIDIA frames AI factories as the industrial revolution's new foundational asset — importing electricity and data, exporting intelligence — with sovereignty as a core design principle
• The biggest enterprise mistake is focusing on isolated point solutions instead of building shared, modular platforms that make AI and data reusable across the organization
• The EU AI Act was designed as a governance 'command center' but expanded into legal uncertainty — even its architect admits he does not fully understand all parts of the regulation
• Platform interoperability is the critical enabler: protocols like MCP and A2A agent standards are the 'electricity and water systems' connecting AI's isolated buildings into a functioning city
• Leadership must lead by example — being the first to use AI, ask for AI-driven insights, and invest in AI literacy — or the organization will treat AI as something imposed rather than embraced

PANELISTS

• Stephan Balzer — Keynote Speaker, Host & Moderator; Managing Director, red onion (Moderator)
• Eva-Maria Hempe — Public Sector Lead, NVIDIA
• Alen Arslanagic — CEO, Visium
• Kai Zenner — Head of Office for MEP Axel Voss; Digital Policy Adviser, European Parliament
• Ujjwal Kumar — Principal Architect, Office of CTO, Microsoft Asia

unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.

🌐 undavos.com

Tags: AI infrastructure, AI at scale, NVIDIA, EU AI Act, sovereign AI, AI factories, interoperability, AI platforms, enterprise architecture, AI governance, European Parliament, Microsoft Asia, Davos 2026, unDavos, REWIRE