Calisa Acquisition Corp · NASDAQ:ALIS
Calisa Acquisition — SPAC Merger (July 2026)
25 slides from Calisa Acquisition's SPAC merger presentation, Jul 31, 2026
Slide 1: Building Smart Compute Grid for AI Inference Globally
@ GoodVision A! Building Smart Compute Grid for Al Inference Globally
Slide 2: Disclaimer
Disclaimer @ cooavision i sccenttin ine Presntatanarbeenprepteincone:tonsthtne apeseusinets combine Bashers Cems Jehween aise SequssenCap (eles ansGecaison dine (Ocosisor' Th resentatin doer net pupertacetainalttheincmatenttat, rnb equrestocruettne tnoeedScaneesCorbistonan hat beeen eth nay reine de
Slide 3: GoodVision AI The Complete AI Inference Solution
GoodVision Al The Complete Al Inference Solution “7-layer Al Cake’ Built Around Token Flows — and GoodVision Al is differentiated to own the compute that supplies the flow, plus the distribution and optimization. # > => => => AT DATA TOKEN TOKEN CENTERS DISTRIBUTION OPTIMIZATION e1 e2 e3 & Cloud Ser
Slide 4: Investment Highlights
Investment Highlights @1 @2 3 04 @5 Inference-First Go-to-Market Faster, Lower-Cost Capacity Deployment Capex-Light Business Model Significant Market Validation Leadership - Proven Track Record GoodVision 4) Inference-native platform delivering quality Al results at structurally lower cost across cl
Slide 5: The Team Behind GoodVision AI
The Team Behind GoodVision Al GoodVision 4) David Wang / CEO Yushan Zheng / “ 4 CHAIRMAN 25+ years building and scaling cloud and compute systems globally. He has brought , Co large-scale infrastructures into production Yushan started his career as a chip designer in across markets — from launch to
Slide 6: GoodVision AI at a Glance
GoodVision 4) GoodVision Al at a Glance >96Ocrus Infrastructure 200+ 40+ PerContainer Prosooo mw = 20Q@m? <1.2 & Technology MWreserve —Strategicsites = >5 1 2opus Footprint / MW PUE efficiency Container B300 -1.5MW. FY26E FY28E romance 1@.5M $38.9M > $418.6M_ =2s0%cacr For 6 Months Ended March 31, 2
Slide 7: Competitive Advantage: Full Inference Chain in One Platform
Competitive Advantage Full Inference Chain in One Platform v ‘wn compute capacity Optimize Workionds Edge Compute Intotigent Scheduling System Valuation Losic v v v ay v v FREWORKS Al @ coodvision i OPENROUTER
Slide 8: Validated by Customers and Partners
Validated by Customers and Partners Q soodvision a\ Measured impact from enterprise Al workloads Reduced by Reduced by CUSTOMER CATEGORIES Gaming || | A Education Retail Biopharmaceutical Research PARTNERS ACROSS THE AI STACK HARDWARE intel | Gnvoia. | Google CLOUD & MODELS AWS —— | AGvogecious | GO
Slide 9: Enterprise Deployments on GoodVision AI Platform
Enterprise Deployments on GoodVision Al Platform r:) GAMING Creating an in-game Al agent system ~S1M annualized platform spend CHALLENGE An in-game Al agent concept with no infrastructure to run it — and ateam focused on gameplay, not infrastructure. SOLUTION Production Al agent system on GoodVision
Slide 10: AI Wave with Inference as its Growth Engine
Al Wave with Inference as its Growth Engine Q coodvision si $1.25T (qq Global Al inference market, 2032E = 7x from ~$179B in 2025 - ~32% CAGR “The golden age of Alis not training, it's inference. Every application and every edge device requires inference, which will be the biggest Al compute market
Slide 11: AI Is Harder to Use Than It Looks
GoodVision 4) Al Is Harder to Use Than It Looks THE PROBLE HOW GOODVISION AI WINS MODEL FRAGMENTATION + Dozensof models available + Users don't know which one to choose Right model & res: auto-se + Nounified orchestration layer ‘SYSTEM COMPLEXITY + Dependencies across cloud, hardware, and models + H
Slide 12: Smart Routing Engine: The Right Model, Every Time
GoodVision 4) Smart Routing Engine The Right Model, Every Time Real-time decision layer, NVIDIA-accelerated. Routes each request to Public Cloud (frontier models) or Al Factory (locally deployed models) based on workload requirements. Private, low-latency execution INPUT e1 Private LLMs and Al-agent
Slide 13: Cloud Services & AI Native Infrastructure
Cloud Services & Al Native Infrastructure Model-agnostic by design — whichever model wins, we monetize the token flow itself. GoodVision A\ Enterprise Cloud Across Every Major Platform Al Native Infrastructure, Powering Al Agents with Intelligent Token Routing End-to-end cloud consulting, migration,
Slide 14: AI Factory Built for AI, Available Faster
GoodVision A\ Al Factory Built for Al, Available Faster Al Factories are purpose-built compute centers designed for fast deployment and high-performance inference. 5 & DEPLOYMENT. COMPUTE ARCHITECTURE COOLING SYSTEM ~ 3D aaystorive >9EBO cove, container > 512 crus container <1.2 ec Operational in ap
Slide 15: Convert Crypto Mining to AI Compute
Convert Crypto Mining to Al Compute Q cooavision a) Repurposing energized crypto-mining sites into Al inference capacity — live in weeks, not years. WHY IT WORKS 30-40% Day 1 CAPACITY REPURPOSED GRID ENERGIZED ~30 days TIME TO LIVE
Slide 16: Repeatable Model and Expansion Plan
@ cooavision REPEATABLE MODEL 3 Converted from crypto/traditional factory @, Scale-up through modular deployment 4, Supply chain moat enabled in Asia Transform from sites with poster and ri already in place Modular, containerized deployment that repicates fast " ponee bul XPAND PRIN + WHERE W HIGH D
Slide 17: Our AI Factory Model: Light Asset, Rapid Scale
Our Al Factory Model: Light asset, Rapid Scale Q cooavision a) Minority capital, full operating control, 30-50% of SPV returns — plus token profit on the same compute. Al Factory SPV Model Synergistic Effect i Factory Retrofit ~10% Buildout 30-50% 100% . —— , 3) tok investment & Full control economi
Slide 18: The Opportunity
HE OPPORTUNITY SECULAR DRIVER Enterprises moving Al from pilot — production Inference (token) volume is increasing — the tide that lifts every lever below TARGET VERTICALS Gaming - video - cross-border e-commerce - education - health - biotech GEOGRAPHIES U.S., Japan, Korea, EU, and broader Asia tio
Slide 19: Financial Summary & Projection
Financial Summary & Projection Q coodvision i FY2024A FY20250, THFY26A Revenue 36 77 106 38.9 176.6 418.6 Cloud & Token Service - - - 38.5 107.5 169.5 AlApplication Service - - - - 81 28.4 Al Factory Computing Service - - - 24 64.0 224.0 % Growth - 112.7% - 401.9% 364.986 197.1% % of repeat customer
Slide 20: Revenue Buildout
Revenue Buildout ANNUAL RECURRING REVENUE (ARR) $60M Al Factory Computing Service Al Application Service (Smert Routing) Cloud & Token Service $224.0M }$25.1M $64.0M '$5.1M $169.5M $2.4M $107.5M FY2026 FY2027 FY2028 GoodVision 4) SMART ROUTING High-margin section, differentiator from other compute p
Slide 21: Valuation vs. Comparable Platforms
GoodVision 4) Valuation vs. Comparable Platforms Entering at a fraction of the comparable set — a ~5x price-to-sales multiple in line with peers, ata fraction of their absolute scale. Valuation si08 $168 $138 ‘sieont ‘sig0t siotte Revenue Forecast $B» ais soot $3700 sis8tten $284tto Price to Sales 1
Slide 22: Transaction Summary
Transaction Summary Transaction Structure + Calisa’s wholly-owned subsidiary will merge with and into GoodVision Al, with Good Vision Alsurviving the merger and becoming a wholly-owned subsidiary of Calisa. + Existing GoodVision Al shareholders will receive an aggregate of 18 million Calisa ordinary
Slide 23: Appendix
@ GoodVision 4! Appendix
Slide 24: Management and Board of Directors
Management and Board of Directors Shelly Wu / cro + Oil& Gas M&A, Digital Asset Fund Management, Investment & Incubation + MScin Applied Mathematics, Imperial College London Max Li/ DIRECTOR + 200+ patents; Ph.D. inEE, Yale & lowa State + Adjunct Full Professor, Columbia University: ex- Qualcomm res
Slide 25: Building the Global Compute Grid for AI Inference
a} GoodvVision A! Lusso You Building the Global Compute Grid for Al Inference