DNA AI - Advanced Computer Technologies

Carbon Nanotube Processor

Revolutionary carbon nanotube processors delivering ultra-low power, ultra-high performance logic — enabling new frontiers in AI, HPC, and defence applications.

Executive Snapshot

  • Sector/Category: Semiconductor Innovation • Clean Technology

  • Stage: In Development

  • Location: Australia (R&D + Initial Pilot Facilities)

  • Investment Ask: AUD $XX million (available on request)

  • Use of Funds: Prototype development, pilot production, manufacturing partner scale-up

 

Impact Highlight: Achieve orders-of-magnitude improvements in energy efficiency; enable on-device AI and compute workflows with significant reductions in power draw, CO₂ emissions per compute unit, and enhanced national capacity in strategic tech.

The Opportunity

Global demand for high-performance computing and AI is surging, placing enormous strain on energy infrastructure and spotlighting the environmental cost of traditional CMOS technologies. The DNA AI Carbon Nanotube Processor Division seeks to leapfrog current technology constraints by using carbon nanotube logic layers for devices that are orders of magnitude more energy efficient, faster, and able to function under conditions (temperature, radiation) that disqualify conventional semiconductors.

With compute‐intensive workloads shifting closer to the edge (IoT, autonomous systems, defence, data centres), there is a strategic opening for Australia to develop sovereign capability in post-silicon processor technologies. Early-mover advantage, strong IP base, and alignment with national tech development strategies amplify the commercial and strategic potential.

Business Model & Growth Potential

  • Business Model: Hybrid licensing + product sales; partnerships with foundries, IP licensing, custom chips for demanding applications.

  • Scalability: From prototype to pilot fabs, scaling into full-chip production; modular capacity build-outs.

  • Target Markets: AI/ML accelerators, data centre OEMs, defence clients, edge computing devices; potential exports to Asia Pacific and allied nations.

Impact & Alignment

  • Environmental Impact: Reduction in energy consumption per compute task; lower cooling loads in data centres; reduced lifecycle emissions.

  • Social Impact: Creation of high-skill R&D and manufacturing jobs; growth of domestic semiconductor ecosystem; national resilience in critical tech supply chains.

  • Alignment: Supports Australian Sustainable Finance Taxonomy (emerging technologies, clean manufacturing); contributes to UN SDGs (9: Industry, Innovation and Infrastructure; 13: Climate Action); advances Australia’s tech sovereignty goals.

Team & Partnerships

  • Founders / Key People: Aleksandar Vasiljevic OAM, Founder & Executive Chairman, with over 60 years of experience in global glass manufacturing, nanomaterials, and sustainable innovations; recognised for leadership in coated glass and AI-integrated technologies.

  • Strategic Partners: GlassKote Technologies (coatings expertise), CYRION Technologies (AI and digital infrastructure), SDH Corporate Holdings (project development),  and DNA AI (advanced nanomaterials).

  • Advisors / Networks: Tech investors; IP experts; sustainability / ESG consultants; global semiconductor councils.

Investment Details

  • Stage of Investment: R&D / Pilot-Scale Fab Phase

  • Capital Sought: Confidential / Available on Request

  • Funding Structure: Equity financing; potential grants / co-investment; licensing revenue streams under exploration.

  • Use of Funds: Prototype development, pilot fab establishment, hiring of core technical team, IP protection, customer pilot engagement.

Key Metrics

  • Technology Readiness Level (TRL): ~6-7 (early prototype to pilot)

  • Projected Financial Returns: Premium margins via energy / performance efficiency; licensing + product sales model

  • Expected Energy / CO₂ Reduction: Significant per compute task (baseline vs DNA AI device)

  • Jobs Created & Community Benefits: R&D / manufacturing roles; contribution to local tech workforce

  • Customers / Pilots Secured: Early-stage engagements with AI hardware OEMs; labs / government R&D partners

Risks & Mitigation

  • chnology / Execution Risk: Scaling nanotube logic is challenging; mitigated via partnerships with existing foundries and incremental prototyping.

  • Market / Policy Risk: Competing tech and policy changes; mitigated with IP protection, diversified market strategy, engagement with national policy frameworks.

  • Capital & Scaling Risk: High upfront costs; mitigated via staged funding, grant leverage, and licensing revenue paths.

Call to Action

Contact Note:  For more information, contact the Sustainable Markets team.

Investment Ask: Confidential / Available on Request

Management Advisors Pty Ltd