Sharonai Holdings, Inc. · NASDAQ:SHAZ
Sharonai — Investor Presentation (April 2026)
29 slides from Sharonai's investor presentation, Apr 1, 2026
Slide 1: Company Presentation March 2026
COMPANY PRESENTATION MARCH 2026
Slide 2: Disclaimers
Disclaimers This presentation (this “Presentation”)is provided solely for information purposes only and does not constitute an offer to sell, a solicitation ofan offer, to buy, oF a recommendationto purchase any equity or debt. ‘The information contained herein does not purportto be all:inclusive, T
Slide 3: 2025 - Building The Platform; 2026 - Acceleration
2025 - Building The Platform 2026 - Acceleration
Slide 4: 2025 - Building The Platform: Key Events CY2025
2025 — Building The Platform Eel suanon Key Events CY2025 Key Events CY2025 SS * US$100M raised via Convertible Note * Texas Critical Data Centers ( iC) joint venture, + Secured up to SOMWs of data center capacity (ite eee Phase 1 & 2 engineering at TCDC joint venture * Cisco Strategic Enterprise go
Slide 5: 2026 - Acceleration: Key Events Q1 CY2026
2026 - Acceleration Ee suanon Key Events Q1CY2026 Key Events Q1CY2026 = + Listed on Nasdaq Capital Market February 2026, + Secured up to US$500m debt facility from raising US$125M in a concurrent underwritten USD.AI Ww public offering + Key customer win - US-based Al native inference + Key customer
Slide 6: About Sharon AI
About Sharon Al
Slide 7: Who is Sharon AI?
Who is Sharon Al? Eg sHaron — -Al- Sharon Al is an Australian Neocloud operator, purpose-built to power the next generation of Artificial Intelligence (“Al”) and High-Performance Computing (“HPC”) A pure-play Neocloud platform Sharon Al's infrastructure is architected from the ground up to meet the
Slide 8: The Problem We're Solving
The Problem We’re Solving The Problem Al adoption is accelerating faster than the infrastructure required to support it = Demand for Al training and inference has outpaced the global supply of high-performance GPUs, and power-dense data centres which have increasingly long lead-times = Enterprises,
Slide 9: Industry Drivers - Scale
Industry Drivers - Scale We believe the scale of the opportunity, and the investment... is still not yet fully appreciated, nor understood... XX xAI Colossus 1 Memphis, TN “eS a Meta Hyperion Holly Ridge, LA (2028) \Opendl Stargate /Abilene, TX (2026) ‘Source: “The largest Al data center campuses wi
Slide 10: Our Approach is to Partner With Global Leaders
Our Approach is to Partner With Global Leaders EB suaron Sharon Al has partnered with global leaders in Al and digital infrastructure to ensure successful best practice and on time delivery of Sharon Al’s solutions \vast NK World wide @meseport tftalt cisco MME MANAGEMENT PRESENTATION ~ MARCH 2026 N
Slide 11: Data Sovereignty & Regulations to Drive Regional Champions
Data Sovereignty & Regulations to Drive Regional Champions Edstaron Tightening data sovereignty and privacy rules in Australia and the US are generating a structural advantage for trusted, in-country Al infrastructure providers like Sharon Al Consecutive US administrations have considered curbing gl
Slide 12: Barriers to Entry a Key Driver of Success for Early Entrants
Barriers to Entry a Key Driver of Success for Early Entrants Ed suaron — ~al- Graphics Processing Unit (GPU) scarcity, grid constrained high-density power, tightening data regulation, and capital requirements establish barriers to entry for the global Neocloud market GPUAllocation "= Securing timely
Slide 13: Forward Data Center Capacity, Illustrative Revenue and Unit Economics Analysis
Forward Data Center Capacity, Illustrative Revenue and Unit Economics Analysis
Slide 14: Sharon AI's Medium-Term Outlook
Sharon Al’s Medium-Term Outlook Sharon Al has secured data center capacity to deliver Al Factories with up to 7OMWs of compute Ed suaron = male Additional Data Center Capacity +20MWs ready for deployment in 2026 and early 2027 with B300/GB300 clusters our data center partners, plus a roadmap to +20M
Slide 15: Illustrative Customer Contract Lifecycle
Illustrative Customer Contract Lifecycle Ed snaron -— male Sharon Al operates ‘take-or-pay’ revenue model whereby customers pay monthly revenue for reserved capacity which ensures 100% utilization once fully deployed, mi Contract signing GPU + network Infrastructure purchase & installation Initial c
Slide 16: Revenue Model
Revenue Model Ed sHaron — wale Sharon Al operates a hybrid revenue model that has evolved deliberately from on-demand usage to a term-based take-or-pay offtake as the business has scaled On-demand (PAYG) -based, on-demand pricing for GPU compute, storage and interconnect = Customers pay based on GPU
Slide 17: Illustrative GPU Annual Revenue Analysis
Illustrative GPU Annual Revenue Analysis Ei suaron — wale Illustrative GPU Annual Revenue equals stated number of GB300 GPUs x stated GB300 GPU Rates per Hour x 8,760 hours (per year) x 100% assumed term contract utilization (in USD). GPU Rate per Hour (USD) Approx. $3.00 $3.50 $4.00 $4.50 $5.00 MWs
Slide 18: Illustrative Unit Economics for 4,608 x GB300 GPU (4K) cluster
Illustrative Unit Economics for 4,608 x GB300 GPU (4K) cluster Assumptions include: * 4,608 x NVIDIA GB300 GPUs generating $4.00/hr/GPU = Capex fully funded, payback 3 years, expected useful life of 6 years = Gross Profit = Revenue minus Direct Costs (Power and Data Center costs) Operation Annual Ca
Slide 19: Evolution of Market Share in the US
Evolution of Market Share in the US The US GPU market has shifted from hyperscale-dominated supply to a bifurcated system where Neoclouds now absorb demand at scale. The similar growth trajectories across Neoclouds at different points in time evidence rapid demand is ongoing Estimated market share (
Slide 20: 2025 Financial Summary
4 2025 Financial Summary
Slide 21: Statutory Results
Statutory Results Balance Sheet (USD ‘000s) Es = 31-Dec-24 ASSETS ARON oA Income Statement (USD ‘000s) FY25 FY24 Revenue 1,567 438 Cost of Revenue (1,466) (720) Gross Profit 101 (282) Share-based compensation 1,762 254 Selling, general & administrative 12,117 2,369 Other expenses / (income), net 8 4
Slide 22: Non-GAAP Analysis at December 2025
Non-GAAP Analysis at 31 December 2025 Ed sharon Balance Sheet (USD ‘000s) Pre-IPO Notes Receivable, Payment of Cash and cash equivalents 71,073 127,529 198,602 Yorkville toan, TCDC sale, NASDAQ IPO Conv. note proceeds receivable 15,171 34,829 50,000 Pre-IPO Notes Receivable, TCDC sale Trade and othe
Slide 23: Summary
Summary
Slide 24: Why Sharon AI?
mmm MANAGEMENT Why Sharon Al? Structural tailwinds are forecast to drive hyper-growth of the Neocloud sector PRESENTATION - MARCH 2026 Sharon Alhasa leadership position in APAC. This combined with world class partner strategy, underpin rapid growth Eel suaron NASDAQ-listed, with supportive capital p
Slide 25: Appendices
6 Appendices
Slide 26: Executive Team
Executive Team Ed sHaron — male We are a highly experienced team of entrepreneurs, engineers and industry professionals. Our executive team has held senior roles at leading technology and financial institutions including Microsoft, IBM, Equinix, Goldman Sachs, Vault Cloud, Rackspace, Macquarie Bank,
Slide 27: Board of Directors
ARON male Board of Directors Eas: Highly experienced board combining global technology, infrastructure, capital markets and governance expertise to guide Sharon Al through scale, regulation and long-term value creation. holding historical roles at Microsoft, Paypal, Nokia, Western Union, Sitverpoint
Slide 28: Sharon AI's Proprietary Software Orchestration
Sharon Al’s Proprietary Software Orchestration EB suapon Sharon Al has developed enterprise-grade GPU delivery, abstracted into a self-service cloud loput controls feeding orchestration Physical infrastructure & delivery stack “Customer requests Contracte/reservation Sovereignty rules PUsype, deploy
Slide 29: Target Customers and Illustrative Use Cases
Target Customers and Illustrative Use Cases EB shanon Sharon Al solutions are targeted at a broad range of customers which require sovereign, high-performance Al infrastructure for training, inference and mission-critical workloads at scale Corporations integrating Al into workflows and require scal
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