WEEBIT NANO LTD — Investor Presentation 2019

Jul 21, 2019

July 2019

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WEEBIT NANO AT A GLANCE

Listed on the ASX in August 2016 and headquartered in Melbourne Operations in Israel and R&D partnership with CEA-Leti in France Developing next-gen memory solution based on Silicon Oxide (SiOx) ReRAM Successfully completed development ReRAM working production protype Engaged with potential customer, developing a module based on their spec Patents Registered in the USA, filed in France

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SHARE INFORMATION

CAPITAL STRUCTURE

SHAREHOLDING BREAKDOWN

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01 ASX Code: WBT
02 Share price: $0.52 [1]
03 Shares on issue: 63.6m [1]
04 Options: 8.9m [1&2]
05 Market cap: A$35.6m [1]
06 Cash: A$2.95M [3]
1. As of 18 July 2019
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1. Including performance shares 3. As of 31 March 2019

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5.88% 21.12% 73%
TOP 20 [] OTHER [#]
BOARD &
Excluding Board &
MANAGEMENT [^]
Management
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^ On a fully diluted view, this number is 10.09%

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• On a fully diluted view, this number is 24.32% # On a fully diluted view, this number is 65.59%

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WEEBIT LEADERSHIP TEAM

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CEO
CHAIRMAN EXECUTIVE DIRECTOR CTO CFO
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40 years of experience in the semiconductor industry, including 2 exits at Verisity Design and Jasper Design Automation

CEO of PacketLight, turned it around from the verge of bankruptcy

Leading WW sales teams for almost 25 years

Served as Executive Vice

President and General Manager at the Intel Architecture Group (IAG) and Chief Product Officer of Intel Corporation

IEEE Fellow and winner of the prize for innovation in industrial development from the Israeli President

Received his PhD researching non-volatile memories, under the supervision of Prof Dov Frohman, the inventor of the first nonvolatile memory technology

Led the creation of Tower Semiconductor and was its CEO for almost 10 years, including taking it public on NASDAQ

Over 20 years of experience in the NVM domain in companies like Intel, Sandisk, Micron and Marvell, including development of the most advanced 45nm NOR Flash technology to date

Was part of Automotive division at Intel

Over 20 years of experience as a Certified Public Accountant. Served as a senior manager at PWC Israel

Audited large public

companies traded on the TASE and US Stock Exchanges and served as the CFO of several start-up companies

Serves on the board of Mellanox as well as several other semiconductor startups

Co-founder of Saifun Semiconductor, a NVM company which was subsequently sold to Spansion

Active Board member of multiple companies in TASE and NASDAQ

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ATIQ RAZA APPOINTED TO THE BOARD

Over 40 years experience in the semiconductor industry

• Chairman and CEO of NextGen Inc for 7.5 years where he revolutionized the design of x86 processors

• Became President and COO of Advanced Micro Devices (AMD) after NextGen was acquired by AMD

• Led AMD’s transition from running behind Intel Processors to being a direct competitor gaining significant market share in PCs and Cloud

Held multiple roles as investor, Chairman and CEO of several semiconductor companies

• Chairman and CEO of Raza Microelectronics (Now RMI Corporation) for 5.5 years

• Chairman and CEO of Calient Technologies for 6 years, a global leader in pure photonic Optical Circuit Switching technology and systems

Served on the boards of Mellanox, Magma Design Automation, Matrix and Solantro Semiconductor Corporation Master’s Degree in Materials Science and Engineering at Stanford University

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WHY MEMORY?

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Surveillance
5G
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Internet Of Things

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Data Centers
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Facial Recognition
Drones
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Robotics Autonomous Vehicles

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Gaming
Smartphones
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THE MEMORY MARKET

Volatile Non-Volatile  Practically every digital device contains embedded non-volatile memory (NVM) eFlash Weebit’s  NVM market expected to go over SRAM ReRAM current US$60B in 2019 (source: statista) Embedded memory:  Current NVM solution for embedded MRAM focus Internal on chip has many drawbacks, the market is looking for new solutions  Emerging memory technologies, External memory Chip: and specifically ReRAM, are starting Flash to enter the market Integrated on board DRAM ReRAM  Weebit’s ReRAM resolves key drawbacks while improving key others

• Weebit’s ReRAM resolves key drawbacks while improving key technical parameters

CPU = Central Processing Unit SRAM = Static Random Access Memory DRAM = Dynamic Random Access Memory

eFlash – Embedded flash ReRAM = Resistive RAM MRAM = Magnetic RAM

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Source: Yole Development, October 2018

Confidential

WEEBIT’S RERAM SOLUTION

Weebit’s Silicon Oxide (SiOx) ReRAM technology addresses the shortcomings of the existing Flash technology. It is now preparing for transfer to a production facility and being adapted to a first potential customer. Its key competitive advantage compared to embedded Flash and to other new technologies is that it is based on standard materials and can be easily adapted to any fab.

	Embedded Flash	Embedded Flash	Weebit’s ReRAM	Weebit’s ReRAM
Speed	Does not provide the speed improvement required for tomorrow’s needs	X	~1000X faster programming and read operations	
Energy Efficiency	High energy consumption	X	~1000X more energy efficient by low voltage and fast write	
Manufacturability	Challenging manufacturing process, not compatible with standard logic process (difficult to embed) Can’t scale below 40-28nm	X	Simple process, utilises standard SiOx material and machinery, compatible with standard logic process, can scale to smallest geometries	
Density	Provides increased capacity for the near future		Scalability allows higher future density	
Reliability	High error rate and limited endurance	X	10-100X higher endurance	

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EXPECTATIONS MET

APR 2019

Production level endurance and retention

Every committed technology milestone met!

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JUN 2018 40nm 1Mbit Array

FEB 2018 40nm 4Kbit Array

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NOV 2017 40nm working cells OCT 2017

300nm 4Kbit Array SEPT 2016 Development kicked off at Leti

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PRODUCTISATION AND COMMERCIALISATION ROADMAP

4Kb Array Initiate engagement with first potential customer

28nm/300mm Production Fab wafers available Qualification

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Currently received their Technology transfer
specification and started and IP qualification
to implement it
Feb Jun Dec Apr Mar Jun Dec
18 18 18 19 20 20 20
1Mb Array Process Deliver first memory
Optimisation module to potential
customer
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Demonstrated endurance of 1M and Retention of 10 years at 130-150[o] C

Schedule reflects priority given to first potential customer engagement

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TARGET MARKETS

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Internet of Things

• Key Applications: Wearables, security, smart cities, etc.

 Key advantages: Ease of manufacturing and low power

Analog

• Key Applications: All types of sensors, automotive, GPS, Wifi, etc.

 Key advantages: Ease of manufacturing, doesn’t impact the design

Artificial Intelligence

• Key Applications: Facial & object recognition and big data manipulation

Weebit is a strong fit for many other markets which will be targeted in the future

• Key advantages: Able to manufacture in most advanced geometries

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per
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WEEBIT BUSINESS MODEL

License to semiconductor customers - Revenue per customer project consists of 3 main elements:

• IP Licensing Fees: P aid upon engagement, ranging from $500K to $2M per license, typically ~$1M

• Royalties: Range from 1-3% of the revenues from sales of the customer, typically ~1.5%

• Non-Recurrent Engineering (NRE) fees: Covers costs to adapt the technology to customer specific needs, varies based on the specific customer needs

License to fabs - Revenue per wafer consists of: Royalties: Range from 1-3% of the revenues from sales of the wafer, typically ~1.5%

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RERAM TECHNOLOGY FOR TOMORROW

Mimic the brain as accurately as possible

o ReRAM resembles biological Neurons o Physical similarities lead to functional similarities o Highly energy efficient

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Brain inspired computing systems

Object recognition

Weebit can enable Brain Inspired Artificial Intelligence systems using ReRAM for AI applications Machine learning ReRAM is the solution for tomorrow’s needs achieving artificial intelligence capabilities

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SIGNIFICANT PROGRESS WITH PARTNERS

Continuing positive progress and discussions on many additional fronts

 Potential customers  Production fabs

 Strategic investors  Industrial partners

Announced Partnerships

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Politecnico IIT Delhi di Milano

Silvaco

Technion

Developing TCAD Neuromorphic Neuromorphic In Memory simulation models Computing Computing Compute of our ReRAM research research research

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THANK YOU

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DISCLAIMER

This presentation contains certain statements that constitute forward-looking statements. Examples of such statements include, but are not limited to, statements regarding the design, scope, initiation, conduct and results of our research and development programs; our plans and objectives for future operations; and the potential benefits of our products and research technologies. In some cases, forward-looking statements can be identified by the use of terminology such as “may,” “will,” “expects,” “plans,” “anticipates,” “estimates,” “potential” or “continue” or the negative thereof or other comparable terminology. These statements involve a number of risks and uncertainties that could cause actual results and the timing of events to differ materially from those anticipated by these forward-looking statements. These risks and uncertainties include a variety of factors, some of which are beyond our control. All forward-looking statements and reasons why actual results may differ are based on information available to us when initially made, and we assume no obligation to update these forward-looking statements or reasons why actual results might differ or the information set forth herein.

In addition, we do not make any representations or warranties, express or implied, with regard to the information included in this presentation of any other related document or information disclosed or furnished in connection thereto, including, without limitation, with respect to the accuracy, reliability, completeness or its sufficiency for any particular purpose. This information is proprietary and confidential of Weebit and is provided on a confidential basis and may not be disclosed or used without our prior written consent. You acknowledge that the disclosure and use of the information may be further prohibited under applicable securities or other laws. This presentation is made for informational purposes only and does not constitute an offer to sell

any interest in Weebit not does it form the basis of any contract or agreement between the parties.

Third party data

This presentation includes or is otherwise based on information obtained from publicly available information, such as Statistica 2018, Yole Développement June 2017 and Advanced Materials Progress Report, 2018; and (iii) other information publicly released by corporations and government departments. Weebit has not independently verified or audited this information or any information. Accordingly, the accuracy and completeness of such information is not guaranteed. This data has been accurately reproduced and, as far as Weebit is aware, no facts have been omitted that would render the information provided inaccurate or misleading. Investors should note that market data is inherently predictive and subject to uncertainty and is not necessarily reflective of actual market, industry and macroeconomic conditions. Specifically, there is no assurance that any of the forecasts or projections will be achieved. Forecasts and projections involve risks and uncertainties and are subject to change based on various factors, including those discussed above.

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