Gorilla Technology Group Inc. · NASDAQ:GRRR

Gorilla Technology — Global SPAC Partners Co — SPAC Merger (March 2022)

45 slides from Gorilla Technology's SPAC merger presentation, Mar 14, 2022

  1. Slide 1: This presentation (the "Presentation") is for informational purposes only to assist interested parties in

    This presentation (the "Presentation") is for informational purposes only to assist interested parties in making an evaluation with respect to a proposed business combination (the “Potential Business Combination”) between Global SPAC Partners Co. (“Global”) and Gorilla Technology Group Inc. (the "Co

  2. Slide 2: Use of Data and Trademarks

    Use of Data - The data contained herein is derived from various internal and external sources . No representation is made as to the reasonableness of the assumptions made within or the accuracy or completeness of any projections or modelling or any other information contained herein . Any data on pa

  3. Slide 3: Forward-Looking Statements and Non-GAAP Measures

    (xx) the Combined Entity’s ability to manage a complex set of marketing relationships and realize projected revenues from subscriptions, advertisements ; (xxi) product sales and/or services ; (xxii) the Combined Entity’s ability to execute its business plans and strategy ; and (xxiii) other risks an

  4. Slide 4: Disclaimers

    Disclaimers (9 the Combined Ents abiltyto manage a comple st ef matketing atonshs arc ree projected revenues from aubscrgtons. adrersarerts fi protuct sacs andor serves (oc) the Combined Enitys ably to camcuteits business Dans a0 stratagy. nd fen) che ca ad uncer ees scribd Mee o6 wel os hose Rs 6 u

  5. Slide 5: Transaction Assumptions

    Assumptions : Gorilla Shareholders Source of Funds: (i) PIPE financing of subunits (1 common + 1/4 warrant) of minimum $50.5m at closing, plus (ii) Full Trust assuming no redemptions by Global's existing public shareholders (including non - redemption commitments). Use of Funds: Estimated Fees & Exp

  6. Slide 6: Transaction Overview

    Transaction Overview — Sourves & Uses Pro Forma Valuation Tratony (irrtions oxo share price) Sure of Funds Torta Rotors Ean 7 PIPE Financing (Subunits $1010) Estimated Cash in Trust (post losing) Usesof Funds TOTS ROTO CO Estimated Fees & Expenses Net Cashto Balanoe See Pro Forma Revenue Multiples T

  7. Slide 7: Key Competitive Advantages, Transaction and Valuation

    B us i ne ss Key Competitive Advantages • A w a r d W i nn i n g t e ch n o l o g y l e a d er . • ~ 2 0 y e a r s o f t ec h d eve l o p m en t . • Strategic partnerships with Intel, D e ll E M C & S o f t b a n k . • World Class reference customers & solutions. Transaction • SPAC cash in Trust of

  8. Slide 8: The Edge Opportunity

    The Edge Opportunity Mobile Edge Computing market CAGR of 28.9% during 2021 - 2027 (6) Asia - Pacific expected to register the highest CAGR over the forecast period owing to the rising number of IoT integrated devices and the advent of 5G in the region. (2) $61.14 b i lli o n by 202 8 (3) C A G R o

  9. Slide 9: Global 5G Infrastructure Market

    The Global 5G Infrastructure Market size was valued at USD 1179.2 million in 2021 and is expected to reach USD 131.40 billion by 2030, with a growing CAGR of 68.83% from 2021 - 2030. (Source – Businesswire) 5G THE NEW CONNECTED “DIGITAL AGE” HAS ARRIVED AND HAS MADE THE PROCESS OF DIGITAL UNLOCKING”

  10. Slide 10: Competitive Landscape

    Se n s e Time Cr o wd St r i k e IBM Cisco C3.ai Palantir Cloudfare ULTNOUS Axis Viseum Keyence Huawei Atlassian E d g e A I A pp l i a n c e s E d g e A I I n f e r en c e Models 5 G - E dg e A I S m a rt Solutions A I L i f e C y c l e E c o s y s t em 5 G N e t w o rk E dg e A I Cloud P la t f o

  11. Slide 11: Revenue Stream – Edge AI Platform

    R eve n u e S t r ea m – E dge A I P l a t f o r m AI SaaS Data Service A na l yt i c W i dg e ts AI M ode l s 40 + I VA s A I A pp li an ce O E M AI Appliance G o r ill a B r an d A I Appliance AI Training/ Deep Learning on the Edge N u m b e r o f V i d e o S t r e a m s / L ens V o l u m e o f A

  12. Slide 12: Board of Directors

    G r e g g W a l k e r Independent Director J a y C h a n d a n Executive Chairman & Director Bringing decades of experience Y o i ch i r o H i r a n o Independent Director R t . H o n . R u t h K e ll y Independent Director T o m o yu ki Nii Independent Director D r . S p i n c e r K oh Director

  13. Slide 13: Management Team

    S t a r d i Y e n S V P - F i n a n ce D r . S p i n c e r K oh F o un d e r & C h i e f E x e cu ti v e O ff i cer Bringing decades of experience F e li x S o n g Chief Solutions Officer M i k e W a n g Head of Sales – SE Asia D r . R a j N a t a r a j a n Chief Innovation Officer A l a n L u o Chi

  14. Slide 14: The A-Team - Management

    Bringing decades of experience The A-Team - Management Dr. Raj Natarajan Stardiven Alen Luo

  15. Slide 15: Cloud vs Edge Computing

    Cloud • C e n t r a l p r o c e ss i ng o f s u m m a r y d a t a • B i g d a t a a n a l y s i s , c o m p l e x l e a r n i ng m o d e l • C e n t r a l c o n t r o l E d g e • R e a l t i m e d a t a p r o c e ss i n g • R e a l t i m e c o n t r o l ( M 2 M ) • L o c a l d a t a f i l t e r i ng

  16. Slide 16: Moving AI Processing to the Edge

    Moving AI processing to the edge is highly e c o n o m i c a l & c o s t e ff ec t i v e . O n l y processed, highly valuable data is sent to the cloud . So, whilst sending and storing huge amounts of data is still expensive, smaller devices at the edge have become computationally powerful, taking a

  17. Slide 17: Edge & AI – A Perfect Marriage

    4 Major Reasons Edge & Al —A perfect marriage L ATENCY y One of th of Edge Al is y the much which data is ahly valuable ent to processed & stored, especially for tl So, whilst sending and storing that require real-time huge amounts of I expensive smaller devices at the edge have become mputationally

  18. Slide 18: Gorilla AI Models, Appliances and Applications

    Cap t u r e I n fer A l er t A nal y s e I n t e l C PU • I n t e l V P U • N V I D I A GPU G o r ill a A I M o d e l s • Optimized Inference • I V A C o r e s • Endpoint Protection A I M od e l s V i s i o n A I I n f e r en ces C yb e r A I I n f e r e n c e s A I A pp li a n c e s V i s i o n A I

  19. Slide 19: How Does It Work? Edge Computing

    How does it work? E d g e C o m p u t i ng G o r i ll a A I A p p l i a n c e I O T D e v i c e s G o r i ll a A I T oo l k it N e t w o r k E d g e S e r v e r / C l o u d C o m p u t i ng AI D a t a G o r i ll a D a t a s e t S e r v i c e G o r i ll a T r a i n i n g S e r v i c e G o r i ll a M

  20. Slide 20: Platform Independent AI Software

    Platform Independent AI Software for Massive AI - SOC and Extended Market I n t e l ® X e o n ® P r o c e s s o r I n t e l ® Ti g e r L a k e S e r i e s I n t e l ® C o r e Œ - i P r o c e ss o r I n t e l ® K ee m B a y A c c e l e r a t o r I n t e l ® A t o m ® P r o c e ss o r n V i d i a G P

  21. Slide 21: Investors, Partners, Awards

    Investors Partners Awards B e s t E d g e C o m pu t i ng P r o d u c t I n t e r o p T o kyo , J a p a n, 2 0 19 I n t e l Pa r t n e r o f t h e Y e a r A w a r d B e s t I nn o v a t i v e D e s i gn 2020 F a c e R e c o g n i t i o n T e s t F R V T – T o p 20 N a t i o n a l P o li c e I n f o

  22. Slide 22: Kaohsiung Transportation Bureau

    Kaohsiung Transportation Bureau 10,000% Increase in Traffic Enforcement G o r ill a i m p l e m e n t e d a p r oj e c t d ep l o y i ng A I s o l ut i o n s i n o r d e r t o c o ll e c t d a t a , r a i s e safety awareness and help law enforcement p r o t e c t t h e i r c i t i z e ns Failure of

  23. Slide 23: Kaohsiung Transportation Bureau Case Study

    Kaohsiung Transportation Bureau Case Study Challenge Solution anced video to identify ateh traffic infractic + Reduce police dey cae mE Xsan Transportation Bureau of Kaohsiung City Government Result 0 ravaye jx Ae J00"

  24. Slide 24: Projection Notes and Assumptions

    N o t e : A m o un t s a r e i n U S D o ll a r s . • • • • • The projected revenues, and margins, are Gorilla management’s management forecasts, based on its historical experience, current market conditions, and expectations regarding the demand & growth of the Edge AI market. • See the disclosures

  25. Slide 25: Cost Management whilst Maintaining Growth

    Cost Management whilst Maintaining Growth R ev e nu e Gr o w th G eog r a p h i c a l B r e a k d o w n o f S a l e s Note: Revenue breakdown reported In USD Source – Management Estimates 3 . 0 % 6 . 7 % 10 .8 % 14 .2 % 16 .1 % 17 .5 % 17 .0 % 19 .0 % 21 .0 % 22 .2 % 23 .1 % 22 .8 % 65 .9 % 51 .8 %

  26. Slide 26: Cash Positive by 2023

    Cash Positive by 2023 Note: GP, EBITDA, Cashflow reported In USD Source – Management Estimates $0 $50,000,000 $100,000,000 $150,000,000 $200,000,000 $250,000,000 2 0 2 1 2 0 2 2 2 0 2 3 2 0 2 4 2 0 2 5 2 0 2 6 G r o s s P r o f i t EBITDA O p C a s h F l o w - 1 0 % 0% 1 0 % 2 0 % 3 0 % 4 0 % 5 0 %

  27. Slide 27: Cash Positive by 2023

    Cash Positive by 2023 GP, EBITDA, Cash Flow 60% 250,000,000 és , i g 2 g 2 2021 2023 2024 2025 2026 2021 2022S 2023«S 02h 20252026 10% Gross Profit MEBITDA mOp Cash Flow EBITDA Margin MGPMargin Op Cash Flow Margin Note GP EBITDA caeowrepaned USO ‘Source Management!

  28. Slide 28: Business Models & Sales Structures

    Business Models & Sales Structures SaaS • Unique product positioning, with significant d i ffe r e n t i ato rs t o c o m p e t i t i o n • Proven track record with proven growth stories • G e n e r at i ng h i g h gr os s m a r g i n s , p a t h t o profitability • Highly visible SaaS models with p

  29. Slide 29: 2022 Revenue Multiples (EV/Revenue)

    0 . 0 X 10 . 0 X 20 . 0 X 30 . 0 X 40 . 0 X 50 . 0 X 60 . 0 X SenseTime Gorilla: 10.9x S a a s : 2 2 . 6 x ( 14 . 7 x t o 27.0x) Automation Tech: 10.6x ( 6 . 6 x t o 11.2x) SenseTime: 34.3x 2022 Revenue Multiples (EV/Revenue) – average & lower to upper quartile A I & E d g e : 9 . 6 x ( 6 . 5 x t o

  30. Slide 30: Regional Go-to-Market Approach

    Connecting businesses to people, people to services, industries to consumers & business partners USA Hiring key sales staff . E n a b l e p a r t n e r s h i ps a c r o s s vast ecosystems that are redefining industries and creating new business models . T A I W A N & A P A C • To provide growth opp

  31. Slide 31: Creating Significant Value-Add for Customers

    Creating significant value - add for Customers E s t a b li s h s t r a t e g i c p o s iti o n & I n c r e a s e W i n Rate G a i n k e y m a r q u e e c li en t s i n U S & E u r o pe C r e a t i n g a n i n t e g r a t ed g l ob a l f oo t p r i n t & M a n ag e d S e r v i ces platform C r e a t

  32. Slide 32: Use of Proceeds

    (1) Contingency – potential fees for services of provider(s) of advisory and capital markets services Note: Use of proceeds reported In USD, $ millions S o u r c e – Ma n a g em e n t E s t i m a tes Based on management’s forecasted expenditures (including Transaction costs) remaining in 2022 and up

  33. Slide 33: Our Mission

    Build Evaluate, invest and grow "To play THE leading role in Edge AI, by offering transformational solutions, leveraging innovation, skills and distinctive technologies to generate value for all stakeholders” Sustainability Embedded in all of Gorilla’s activities Innovation Turning ideas into strate

  34. Slide 34: Our Mission...

    Our Mission... Sustainability Build Embedded in all of Gorilla’s Evaluate, invest and activities grow "To play THE leading role in Edge Al, by offering transformational solutions, leveraging innovation, skills and distinctive technologies to generate value for all stakeholders” Innovation People Tur

  35. Slide 35: Appendix

    Appendix

  36. Slide 36: Transaction Priced at a Discount to Selected Peer Multiples

    Strong anticipated growth prices the transaction at a discount to Selected Peer Multiples Source – Data Source: S&P Capital IQ and Management desktop research & analysis E V / 2 0 2 2 E R e ve n u e s E V / 2 0 2 6 E R e v en u e s w i t h o u t S e n s e Ti m e E V / 2 0 2 6 E R e v en u e s w i t

  37. Slide 37: Strong Fundamental Credentials, Years in Security & AI

    Strong fundamental credentials, 20 years in Security & AI 20 0 1 20 1 0 20 1 6 20 1 7 20 1 8 20 1 9 20 2 0 F o u n d e d : 20 0 1 H Q a nd R & D C e n t r e i n T a i w a n L a u n c h e d S e r v e r B a s e A I • Facial R e c o g n i t i o n i n Media • LPR/Vehicle r e c o g n i t i o n i n Securi

  38. Slide 38: Taoyuan Airport Taiwan, Smart City Approach

    Taoyuan Airport Taiwan, Smart City Approach 50% Reduction in response time T he p r oj e c t s u n d e r t a k e n b y G o r ill a f o r T a o yua n A i r p o r t s h ow t h a t e d g e A I a nd v i d e o a n a l y t i c s h a ve t h e p o we r t o m a n a g e high - volume, high - density environme

  39. Slide 39: Taiwan Criminal Investigation Bureau

    Taiwan Criminal Investigation Bureau Days to Minutes Reduction in response time T he u p g r a d e d v e h i c l e s e a r c h p l a t f o r m effectively connected the databases from e a c h c i t y a nd t h e i r t r a n s p o r t a t i o n hu b s . W her e a s p r e v i o u s s e a r c he s w o u

  40. Slide 40: Taipei Medical University Hospital

    Taipei Medical University Hospital The hospital is located in central Taipei and houses 800 hospital beds and over 2000 employees . With the recent restrictions for Covid - 19 placed on medical facilities, administrators were looking for an expedient way to usher in patients and staff to the buildin

  41. Slide 41: Enhancement of Ground Vehicle Management

    Enhancement of Ground Vehicle Management 15 seconds Vehicle Verification Violations dropped by 371 times per month a f t e r s y s t e m we nt o n l i ne . A ut o m a t i c v e h i c l e v e r i f i c a t i o n c a n b e d o n e within 15 seconds at the checkpoint area Taoyuan is the 10 th busiest a

  42. Slide 42: G B K S t a d i u m , I n d

    G B K S t a d i u m , I n d o n e s i a P o s t - P a n d e m i c M a n a g e m e nt M a j o r S m a rt L i g h t i n g C o m p a n y , U K En v i r o n m e n t a l M o n it o r i ng Taoyuan International Airport, Taiwan A i r p o r t Sa f e t y & S e c u r i t y T a i w a n R a il w a y s A d m i n

  43. Slide 43: D a n o n e - L ead i n g F oo

    D a n o n e - L ead i n g F oo d C o m pany , I nd o ne s i a P o s t - p a n d e m i c W o r k p l a c e Sa f e t y Management E xx o n M o b i l - D i g i t a l G a r a g e , T h a il a n d S e c u r i t y a nd A cc e s s C o n t r o l Sy s t e m A I S - T h a il a n d ' s L a r g e s t M o b il e

  44. Slide 44: T a i w a n C e n t e rs f o

    T a i w a n C e n t e rs f o r D i s e a s e C o n tro l M a s k W e a r i ng S t a t i s t i c s C e n tr al W e a t h e r B u r e a u , T a i w a n C l o u d A n a l y s i s & W e a t h e r P r e d i c t i o n A g e n cy o f C o rr e ct i o n s , T a i w a n I n m a t e M a n a g e m e nt Criminal

  45. Slide 45: Additional Case Studies - Safe State & Government

    Additional case studies - Safe State & Goverment Agency of Corrections, Taiwan. Inmate Management Taiwan Criminal Investigation Bureau, Taiwa Royal Thai Police, Thailand si sot Tracking

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