AI & Technology Virtual Investor Conference
Logotype for 01 Quantum Inc

01 Quantum (ONE) AI & Technology Virtual Investor Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for 01 Quantum Inc

AI & Technology Virtual Investor Conference summary

23 Apr, 2026

Industry context and quantum threat landscape

  • Quantum computing is expected to create unprecedented cybersecurity risks, with Q-Day predicted as early as 2029 based on IBM and Google forecasts.

  • Major corporations and governments are already preparing for quantum threats, with the U.S. issuing NSM-10 to address vulnerabilities.

  • Hackers can exploit 'harvest now, decrypt later' attacks, making current encrypted data vulnerable once quantum computers are available.

  • The urgency to migrate to quantum-safe solutions is driven by the long lead times required for complex systems, especially in finance and government.

  • Closed-world advancements in quantum computing could accelerate Q-Day unexpectedly, increasing the need for immediate action.

Product portfolio and commercial progress

  • Developed quantum-safe solutions for remote access (with Hitachi), digital assets (qVAULT for qLABS), and email security (IronCAP X for Outlook).

  • Hitachi partnership in Japan is exclusive, with revenue generated through engineering fees and ongoing royalties.

  • qVAULT enables quantum-safe storage for digital assets, with users paying fees in $qONE tokens; 22.5 million tokens received as part of the deal.

  • Quantum-safe email security targets a large market, with potential recurring revenue if even a fraction of business users adopt the solution.

  • All three products are either generating or poised to generate revenue, positioning the company ahead of pre-revenue competitors.

AI and quantum safety innovation

  • Developed math-preserving encryption to protect both AI models and user data, enabling secure AI operations without exposing sensitive information.

  • Encrypted AI models prevent reverse engineering, addressing privacy concerns in sectors like defense and finance.

  • Roadmap includes milestones for fully homomorphic encrypted models, private AI, and a marketplace for encrypted AI models by Q2 next year.

  • The AI marketplace will allow vendors to list encrypted models, with the company collecting transaction fees.

  • Sales and marketing for AI security solutions are underway, with expectations for significant revenue growth from 2026 onward.

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