REIMAGINE MAINFRAME DATA MANAGEMENT IN THE CLOUD ✓ Unlock mission-critical data. ✓ Modernize core infrastructure. ✓ Protect from cyber threats.

● Pioneer in Cloud Data Management for Mainframe ● Backed by Intel Capital, StageOne, North First Ventures, Glenrock Israel ● AWS Advanced Technology Partner, Microsoft Azure IP Co-sell partner and IBM Business Partner ● Patented technology ● Multi-disciplinary team with both mainframe expertise and cloud skills MODEL9 - YOUR MAINFRAME MODERNIZATION PARTNER 2

3 THE WORLD STILL RUNS ON MAINFRAMES 92 of the world’s top 100 banks 23 of the 25 top airlines 10 of the world’s top 10 insurers 90% of all credit card transactions 71 percent of Fortune 500 companies Hold 80 percent of the world’s business data Host more daily transactions than Google

● Costly - customers are charged by CPU cycles, requiring HW and management SW elements ● Slow and disconnected from modern compute environments - proprietary communication protocols, limited computation resources ● Complex - Requires special skills and complex ETL software ● Siloed - data in proprietary formats and inaccessible to cloud applications such as AI/ML and analytics 4 CHALLENGES PERTAINING TO LEGACY DATA MANAGEMENT

MAINFRAME COMPANIES NEED TO MODERNIZE “By 2025, 35% of data center mainframe storage capacity for backup and archive will be deployed on the cloud to reduce costs and improve agility, which is an increase from less than 5% in 2020.” Analyst Jeff Vogel, “Cloud Storage Management Is Transforming Mainframe Data” - September 2020 By 2025, 40% of I&O leaders will implement at least one of the hybrid cloud storage architectures, up from 15% in 2021. Analysts Julia Palmer, Raj Bala - Market Guide for Hybrid Cloud Storage, May 2021 5

Mainframe Modernization Approaches 6 Modernization on the Mainframe Data-led Mainframe Modernization - Hybrid Cloud Modernize = Migrate Applications to Cloud

DATA-LED VS APPLICATION-LED MODERNIZATION 7 Modernization approach Cloud Data Management Lift & shift Re-engineer or refactor Manual redevelopment Implementation cost < $1M ± $5M $15-25M $35-50M Implementation period 3-6 Months 3-5 Years 3-7 Years 3-5 Years Application type: Medium to complex | Lines of code: 5-7 Million | Data capacity: 2PB | * Source: TCS

The Model9 Data-Led Modernization 8 ■ The mainframe continues to be the foundation of enterprise business ■ The cloud enables scale and flexibility which impact the competitive edge ■ Implementing a hybrid approach is the best of both worlds: keeping the mainframe as the core transactional system, and leveraging the cloud for cost effective, scalable data management where mainframe data can be consumed by cloud applications A data-led modernization approach without touching mainframe applications

THE MODEL9 HYBRID-CLOUD ARCHITECTURE 9

MODEL9 SURVEY FINDINGS - #1 - % STILL ON THE MAINFRAME 10

#2 - REASONS FOR ADOPTING A HYBRID CLOUD MODEL 11

#3 - TOP 2022 IT OBJECTIVES 12

#4 - MAINFRAME MODERNIZATION APPROACHES 13

14 Confidential 14 Model9 Cloud Data Management for Mainframe

COMMON USE CASES 15 Provide cloud-native mainframe data protection and data management Make your mainframe data actionable by connecting it with cloud AI/ML & analytics Protect your mainframe data from cyber threats

16 Cloud Data Management For Mainframe The platform consists of a set of functions common to all our products, which each product “inherits” from it. In addition, each product has its own set of functions, specific to that product

MODEL9 MANAGER OVERVIEW CLOUD NATIVE MAINFRAME DATA PROTECTION AND DATA MANAGEMENT ● Backup, archiving, space management, and disaster recovery directly from the mainframe to the cloud ● Replace costly proprietary VTLs and management software with a single affordable cloud based data management software 17

MODEL9 MANAGER ARCHITECTURE 18

MODEL9 MANAGER VS TRADITIONAL MAINFRAME DATA MANAGEMENT 19

Storage Cloud object storage vs expensive disk storage and cumbersome tape storage Software consolidation Eliminate the need for multiple licenses (backup management, tape management, tape security, reporting software…) MSU-based software license charges Reduce peak MSU and total monthly MSU consumption by offloading over 60% of data management processing to zIIPs DRAMATIC COST SAVINGS ROI analysis for a large financial institute 20

MAJOR PERFORMANCE IMPROVEMENT 21 Model9 moves 4X more data using 40% less CPU

FASTER BACKUP COMPLETION TIMES 22

23 MODEL9 SHIELD OVERVIEW The Problem: ■ Contrary to popular belief, mainframes ARE susceptible to cyber attacks, such as ransomware ■ In addition, a low security posture exposes the enterprise not only to cyber attacks, but also to a potential non-compliance status which might result in heavy fines The Solution: ■ Immutable and air-gapped copies in the cloud ■ End-to-end compression and encryption ■ Surgical recovery ■ Periodical recoverability tests ■ Cyber forensics ■ Maintain compliance with data retention regulations

MODEL9 SHIELD ARCHITECTURE 24

25 MODEL9 GRAVITY OVERVIEW The Problem: ■ Mainframe data is inaccessible to large-scale AI/ML and analytics ■ This impedes data-driven decision making and slows cloud adoption The Solution: ■ Deliver mainframe data of any format to any cloud, and transform it to any open format, so cloud-based applications are able to consume it - in particular AI/ML and analytics ■ First transfer, then transform in the cloud: that’s much faster and significantly less expensive than on the mainframe.

MODEL9 GRAVITY ARCHITECTURE 26

27 MODEL9 GRAVITY IS CHANGING THE PARADIGM: ELT VS ETL Mainframe data is first sent to the cloud and only then transformed

28 DATA-LED MAINFRAME MODERNIZATION IN A NUTSHELL Lower cost Shorter time-to-value Reduced risk Improved data-driven decision making Cyber resiliency Data protection

SUCCESS STORIES 29

A LOT HAS HAPPENED SINCE WE’VE LAST MET… 30 ● Tripled year-over-year revenue ● 10x amount of capacity managed by Model9 ● Grew number of 7-figure deals ● Acquired Fortune 50 customers / one of the top 10 US banks ● Doubled the team, and recruited sales and strategy leaders in the US (Mike Canavan, VP Sales at Cohesity / Hitachi; Eddy Ciliendo, Director of WW Sales, IBM Z) ● Created a new offering structure - the Cloud Data Management for Mainframe suite of products ● Launched a new Growth Advisory Board ● Nominated Gartner Cool Vendor / hype cycle for Hybrid Cloud

MODEL9 MANAGER - AFCU CASE STUDY 31

MODEL9 GRAVITY - DATA INTEGRATION CASE STUDY 32 ● US Transportation company ○ Switched from Tape Architecture to Management of Backup, Archive, Recovery, and Analytics on the AWS Cloud ○ Leveraged their valuable mainframe data, easily transforming their DB2 data for cloud-based, business-intelligence processing by Snowflake

CUSTOMER SUCCESS STORY - NEDBANK 33 ● Global 1000 international bank based out of South Africa ● Cloud-first strategy, chose Microsoft Azure ● Want to include the Mainframe in their cloud transformation and BI initiative based on Azure PowerBI ● Microsoft Azure brought this opportunity to Model9 ● Model9 replaced IBM software and Oracle storage hardware 750 TB

NEDBANK - FORMER SYSTEM DIAGRAM 34

NEDBANK - REDUNDANT COMPONENTS 35

NEDBANK - CURRENT ARCHITECTURE 36

NEDBANK - CUSTOMER BENEFITS 37 ● Performance improvement ● Cost reduction ○ No on-premise Backup Infrastructure (Physical tape and/or Virtual tape and Backup Storage repository) required ○ Backup Software licencing cost saving ○ Tape Management Software licencing cost saving ● No Software and Hardware Installation and Customization required ● No dedicated Disaster Recovery LPAR in DR site required ● Shortened backup windows ● Future Mainframe Hardware procurement ● Cloud economics

38 TOP PARTNERS

THANK YOU! Follow us on LinkedIn www.linkedin.com/company/model-9 39 To learn more www.model9.io tamar.milstein@model9.io amy@k2-gc.com