Fortifai Limited · ASX:FTI
Fortifai — Noosa Investor Conference 2026
17 slides from Fortifai's conference presentation, Oct 14, 2026
Slide 1: The AI Data Plane: The Control Point for AI
rsonal use only The AI Data Plane: The Control Point for AI Investor Presentation – Noosa Investor Conference October 2026 | FortifAI Limited (ASX: FTI) www.nol8.io
Slide 2: Behind every AI task is a world of enterprise data
rsonal use only Behind every AI task is a world of enterprise data. Train Data that trains it Infer Information it draws on Act Content it creates FortifAI Limited (ASX: FTI) www.nol8.io 2
Slide 3: Market Opportunity
Market Opportunity Agentic AI is a US$4 trillion market. Our TAM, the data layer, is US$120bn. Artificial Intelligence Market Size, US$ billion rsonal use only US$4T 3,680 US$4.4T Value of Agentic AI by 2030 (McKinsey) 3,077 2,156 2,575 96% CAGR Agentic Token Growth, 2026 to 2030 (Goldman Sachs) 1,8
Slide 4: The Market Has Named the Bottleneck to Enterprise AI Adoption: Data
The Market View The Market has Named the Bottleneck to Enterprise AI Adoption: DATA rsonal use only “Surround non-deterministic models with deterministic controls, “ observability, privilege limits, logging, and the ability to always contain or shut them down.” The data layer represents both the Dav
Slide 5: Data Layer Growth
Data Layer Growth The data requiring processing is compounding. 90% of it is unstructured. Global Datasphere (Zeta bytes per year) rsonal use only 19,267 ZB Processing unstructured data is the most compute intensive. 58x in Ten Years 90% 90% Unstructured 10% Structured 2,537 ZB 334 ZB "About 90% of
Slide 6: What is Unstructured Data?
What is Unstructured Data? What is Unstructured Data? rsonal use only Structured Unstructured Customer ID Name Account Balance Status C-10421 J. Smith •••• 4417 $12,400 Active C-10422 A. Nguyen •••• 9021 $3,150 Active C-10423 R. Patel •••• 2276 $48,900 Review C-10424 L. Chen •••• 6610 $7,035 Active
Slide 7: The Enterprise Data Iceberg
The Enterprise Data Iceberg Enterprise AI currently only uses the tip of the iceberg. rsonal use only ≈10% Utilised NOL8 makes the other 90% usable. Data use minimised due to regulatory concerns. Unstructured data must remain submerged because enterprises can’t control what agents do with it. NOL8 c
Slide 8: The Bottleneck
The Bottleneck Enterprise AI Adoption Won’t Exist Without True Governance of Data. rsonal use only September 2026 Enterprises need agents but they won’t let agents near sensitive data until they can demonstrate complete control and an ability An AI agent gets into a Medicare portal to audit it after
Slide 9: How We Solve It
How We Solve It Data must be controlled before AI can use it. The customer defines what may pass via policy (rule) enforcement. rsonal use only Inspect · Enforce · Log AI Applications and Agents One giant enterprise data corpus AI Data Control Plane Illustrative workflow. Rule coverage and supported
Slide 10: The Enterprise Requirement - Why We Win
The Enterprise Requirement - Why We Win Why We Win: 100% accuracy, every byte, at any scale. Data The Check AI What’s Returned Accuracy As Rules Grow rsonal use only Today A classifier scores it, for A guardrail scores the rules → Probabilistic, on CPUs and example "0.74 confidence". answer: probabi
Slide 11: Independent Verification - Economics
Independent Verification - Economics NOL8 Independently verified: up to 118x more data processed per dollar. Infrastructure cost, US$ per GB/s of throughput per hour (log scale) rsonal use only US$1000 118x RE2 US$240 More data per infrastructure dollar than Google RE2 at 5,000 rules; 4.1x at 128, w
Slide 12: How the Market Prices Governance · Why We Win
How the Market Prices Governance · Why We Win Superior Features and Total Cost Ownership for the customer. US$ per GB: What Enterprises Pay For Current Solutions - against NOL8s indicative price (pricing is yet undetermined). Superior Features and Cost for the Customer rsonal use only Amazon Macie U
Slide 13: Channel to Market
Channel to Market Megaport and Equinix: Our Introduction to Thousands of Customers Full Availability on Equinix Megaport and Equinix networks on Version 2.0 Release. rsonal use only Megaport ASX: MP1 Equinix Nasdaq: EQIX Joined June 2026 Joined September 2026 ~A$4.5bn 3,200+ 1,100+ ~US$101bn 10,500+
Slide 14: Roadmap
Roadmap Delivering Ahead of our Roadmap to Revenue. rsonal use only Delivered Delivered October release Target Target Feb Mid October End Mar Q 2026 2026 2026 CY2026 2027 $ Demonstration engine Version 1.0 Version 2.0 First customer contracts First revenue Benchmarking engine ready for Targeted Targ
Slide 15: Team
Team A team that has built and scaled before. Leadership Advisory board rsonal use only Kelly Herrell Alon Rashelbach Jamie Pope Jason Brushe David Walker Former CTO, Westpac Chief Executive Officer Co-founder and CTO Chief Solutions Officer Technical Advisor Former executive director, DBS Bank. Cha
Slide 16: Corporate Snapshot
Corporate Snapshot FortifAI Limited (ASX: FTI) rsonal use only A$0.58 ~398m 12-month share price, A$ $1.40 Share Price Shares on issue ~A$231m ~615m $1.05 Market capitalisation Fully diluted shares $0.70 ~A$357m A$20.4m Fully diluted market cap Cash, 30 Jun 2026 $0.35 Nil ~A$211m Nov 25 Dec 25 Jan 2
Slide 17: Disclaimer
Disclaimer Authorised for release by the Board of Directors of FortifAI Limited. Statements contained in this document, including but not limited to those regarding the possible or assumed future costs, performance, dividends, returns, revenue, exchange rates, potential growth of the Company , indus