Investor Presentation • Aug 29, 2021
Investor Presentation
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August 2021


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This presentation contains general data and information as well as forward looking statements about Axilion Smart Mobility ("Axilion"). Such statements, along with explanations and clarifications presented by Axilion's representatives, include expressions of management's expectations about new and existing programs, opportunities, technology and market conditions. Although Axilion believes its expectations are based on reasonable assumptions, these statements are subject to numerous risks and uncertainties. These statements should not be regarded as a representation that anticipated events will occur or that expected objectives will be achieved. In addition, the realization and/or otherwise of the forward looking information will be affected by factors that cannot be assessed in advance, and which are not within the control of Axilion, including the risk factors that are characteristic of its operations, developments in the general environment, external factors, and the regulation that affects Axilion's operations. This presentation contains partial information from the public reports of Axilion under the Israeli Securities Law 5728-1968 (the "Securities Law"), which reports can be accessed at the Israeli Securities Authority's website, www.magna.isa.gov.il. A review of this presentation is not a substitute for a review of the detailed reports of Axilion under the Securities Law and is not meant to replace or qualify them; rather, the presentation is prepared merely for the convenience of the reader, with the understanding that the detailed reports are being reviewed simultaneously. No representation is made as to the accuracy or completeness of the information contained herein. The information included in this presentation is based on information included in Axilion's public filings. However, some of the information may be presented in a different manner and/or breakdown and/or is differently edited. In any event of inconsistency between Axilion's public filings and the information contained in this presentation, the information included in the public filings shall prevail. In addition, this presentation includes references to public data about the market in which the company operates, and these are presented for convenience and do not constitute a binding source. The information contained in this presentation or which will be provided orally during the presentation thereof, does not constitute or form part of any invitation or offer to sell, or any solicitation of any invitation or offer to purchase or subscribe for, any securities of Axilion or any other entity, nor shall the information or any part of it or the fact of its distribution form the basis of, or be relied on in connection with or relating to any action, contract, commitment or to the securities of Axilion. The presentation does not constitute a recommendation or opinion or substitute for the discretion of any investor.


Danny Bachar CEO

John D.Porcari President Axilion US

Dr.Orly Avner Head of Research

Dani Daniel Principle Engineer - AI Specialist

Ilan Weizman CTO & Co-Founder

Sigal Barak Head of Marketing

Oriel Raveh VP Product

Elad Nadri VP Sales Development

Didier Lerer GM Business Development

Moshe Fink CFO

Ami Barlev Active Chairman

" Redesign today's transportation systems to create a cleaner, safer, congestion-free world

" We aim to be the go-to platform for continuous optimization processes and tools for businesses and governments to gradually reduce carbon footprint & congestion derived from the challenges created by mobility and traffic.


US citizens spent in traffic every year 6 Million
of carbon dioxide / Year is emitted by one passenger car on average
Car accidents happens every year resulting in ~ 90 deaths/day


* Based on interviews, observations, and mutual work with traffic engineers along the history of the company .


Process videos from onboard & static cameras, utilizing contextual AI

Create a Mobility Digital Twin of a city/state calibrated by our AI engine

Predict, plan, & optimize mobility to reduce carbon emissions, congestion, and increase safety
The leading Mobility Digital Twin Platform
Simulate & predict road-network conditions & "what if" scenarios

Capture & visualize your road-network through IoT Edge Cameras

Plan & implement the best possible outcome & create a continuous optimization protocol leveraging Reinforcement Learning

" Currently, 55% of the world's population lives in urban areas and this is projected to rise to 68% by 2050 according to the UN


Transport represents almost a quarter of Europe's greenhouse gas emissions and is the main cause of air pollution in cities
Emissions of air pollutants from transport that harm our health need to be drastically reduced without delay.
The strategy will benefit European citizens and consumers by delivering improvements in air quality, reductions in noise levels, lower congestion levels and improved safety.
Increasing the efficiency of the transport system
Speeding up the deployment of lowemission alternative energy for transport
Moving towards zero-emission vehicles


Emissions only started to decrease in 2007 and still remain higher than in 1990

"this research shows that in 2013 the early-stage venture funding for climate tech companies was about \$418 million. However, in 2019, total venture funding increased to \$16.1B, a more than 3750% increase. This is on the order of 3X the growth rate of VC investment into AI, during a time period renowned for its uptick in AI investment."

"The leading cities are already achieving this with efficient transport networks that feature modern infrastructure, easy connections across various modes of transportation, and, above all, a clear strategy of how to meet future needs"
Investing in efficient public transport system can boost economic growth up to US\$800 billion
the costs of inefficient transport are influenced by factors such as journey times, crowding and density of the transport networks, which impact a city's productivity.
i Siemens assessed the economic cost of inefficient transport around the world. Well establish cities High density compact cities Emerging cities i i Today's economic cost of transport as a percentage of GDP per capita

Transportation demand and emissions continue to rise:


Increase in global transport activity
By 2050

Intelligent transportation and green tech markets are growing:


Intelligent Transportation Systems (ITS) CAGR of 15.3% by 2025


Global Carbon Market growing in 20% rate In 2020

01
Pulse - City & Highway mode - ready to pilot
02 03 Neural - Advanced optimization engine - In development

Digital Twin - Simulation & Optimization in design partnership - Jerusalem Optimization engine - first version
| Pilot | Description | Status | Expected completion date |
|---|---|---|---|
| Jerusalem | Simulation of the rabin corridor during morning rush hours in order to reduce congestion and carbon emission |
Conducting field tests to validate and calibrate the simulation model |
Q1 2022 |
| Bolzano (Italy) |
X Way Pulse module was implemented in collaboration with Microsoft and Vetrya (Local Partner & Integrator) |
About to commence commercial negotiations with the local municipality and strategic partners |
Q1 2022 |
| Target City (France) |
Implementation of the X Way Pulse module in collaboration with Transdev ** This project constitutes a relocation of a previous pilot, in accordance with the decision of the parties |
Finalizing SOW with Transdev, scoping the relevant corridor and intersections which will be part of the pilot and the relevant KPIs. |
Q2 2022 |
The company currently manages a number of pilots at various stages and has also received inquiries to carry out additional pilots that are being examined by it.
| Completion Date | ||
|---|---|---|
| Traffic engineering software designed for Signal planning with transit signal priority (TSP), and pedestrians priority |
Version 8.1 of the software is now available for purchase, approved by the ministry of transportation in Israel valid until the 21.1.2022. on the 11.7.2021 the company filed for approval extension. The Jerusalem municipality has requested additional features which have been developed, and will be included in future version which will be submitted for approval as well. |
In Production The software is being used by the Jerusalem light rail, Haifa Metronit (BRT), and by Traffic Engineers. |
| Monitoring and identification of bottlenecks in X Way Pulse traffic signal network |
The software module is under testing, and being piloted, based on feedback and module behavior additional R&D activity may be required |
Q4 2021 |
| The Digital Twin module enables the simulation of selected signalized corridors and provides green light optimization X Way Twin recommendation. The module's calibration is achieved by infusing data sources such as traffic counts, and Origin-Destination (OD) Matrix received from the pulse and other data sources |
The Digital Twin module is in advanced development stages focusing on calibration and validation. |
Q1 2022 |
| Prediction and recommendation system provides an X Way Neural alternative traffic signal plans for entire corridors, based on dynamic measurement of current demand levels, vehicle type, road capacity and driving profile of the road users. |
Product characterization and requirements specification | 2023 |
*The expected completion date refers to the development stages mentioned in the table on column 3



| June 2021 | June 2020 | |
|---|---|---|
| Revenues | 724,349 | 879,041 |
| Research and development expenses, net |
(8,944,752) | (3,730,899) |
| Administrative and general expenses |
(4,284,771) | (2,040,313) |
| Marketing expenses | (3,862,307) | (457,863) |
| Loss from operations | (16,580,146) | (5,350,034) |




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