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SMART SENSING FOR AUTOMOTIVE

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Presentation on theme: "SMART SENSING FOR AUTOMOTIVE"— Presentation transcript:

1 SMART SENSING FOR AUTOMOTIVE
Ilario Gerlero | Engineering Manager

2 Sensor Market Forecast
The need of sensors is critical in Industry Sensor Market Forecast Global: 11,3% expected growth (source Allied Market Research) Automotive: 6,7% expected growth (source Strategy Analytics) Automotive Industrial needs Diagnostic/Prognostic Reliability Performances Cost saving Emission limits & Electrification Safety improvement & Autonomous driving Industry 4.0 Predictive Maintenance & Diagnostic Process Safety & Optimization Software Sensors are Key Technological Enablers

3 Direct Virtual Sensing
The Virtual Sensors Opportunity Improvement in getting critical on-board information Cost Reduction Laboratory measures available on-board Information Reliability Industrially Validated Direct Virtual Sensing (DVS®) Autonomous Driving Electrical Vehicles Connected Tires Comfort Emissions Fleet Maintenance

4 Focus on the Vehicle Emissions
NOx is our entry segment Mandatory by rule (EURO 6c – US Tier 3) No others VS ready Cost savings €70 per vehicle e.g. : ~ 518 kU diesel-engine / year in Europe x €70 ~ €36 M / year (SOURCE: ACEA)

5 Global Automotive Sensor Market
NOx Addressable Market CAGR 3,5% ( ) $27,6 bn Global Automotive Sensor Market Global NOx Sensors Market ~ $893M Addressable Market ~4% $35,73M of NOx Global Market in 2023 (SOURCE: Strategy Analytics 2017)

6 Direct Virtual Sensing Technology Industrial & Academic Partners
VS Products Based on AI technology Direct Virtual Sensing Technology DVS® Two directions DVS® as software platform DVS® as microcontroller hardware device What are we doing Strategic partnership with first industrial players Market presence in USA/Canada, China and Europe High skilled technical seniorities Investment in IP assets (3 Patents, 4 Trademarks, Trade Secrets ) Industrial & Academic Partners

7 Customers & References
Automotive Aerospace ICT & Factory 4.0 Energy & Environment Academy

8 Road Map DVS/NOx development plan Years NOx/DVS Industrial Prototype
Market Launch NOx 4% target market share reached 1st Car Maker Application Industrialization & Commercialization 1st vehicle commercial exploitation Industrial Plan Improvement Market deployment (extension to further vehicles) Extension to other industrial applications 2018 2019 2020 2021 2022 2023 2024 Years

9 NOx Financial Projection Further Application Available
Business Projection NOx Financial Projection Further Application Available

10 Targets for Partnership / Acquisition Exits of Similar Companies
The Strategy TARGET COMPANY + Targets for Partnership / Acquisition Exits of Similar Companies Spinoff of Linkoping University Acquired in 2014 by Volkswagen Spinoff of Leuven University Acquired in 2012 by Siemens

11 Competitors Effective Experience in Engineering AI Applications for
Virtual Sensors are strategic technology innovation for big players and innovative SMEs OEM & Tier1 The DVS® has overcome their benchmark in important industrial application (Sideslip, Nox, Temp, etc..) Modelway’s advantages: Recognized experience in automotive engineering Wide portfolio of developed applications Innovative SMEs operating in AI Effective Experience in Engineering AI Applications for Critical Industrial System

12 1 What are we looking for 2 Summary of Modelway needs
Financial funding to support the product development phase and the road map roll-out Support of experienced professionals in strategy deployment, operations enhancement and networking 1 2

13 SMART SENSING FOR AUTOMOTIVE
Comfort Autonomous Driving Emissions Electrical Vehicles Fleet Maintenance Connected Tires Ilario Gerlero

14 Company Mission Support the Digital Transformation in industry
exploiting the data to improve information on-board the systems Who we are Software engineering company experienced in industrial innovation based on Artificial Intelligence Specialized in developing innovative “Virtual Sensors“ directly from data DVS® - Direct Virtual Sensor Breakthrough Technology in the Sensor Market Reliable solution to get critical information on-board the systems Improvements in Control, Diagnostic and Maintenance

15 The Team Professionals with solid experience in Industrial Innovation and Artificial Intelligence Mario Milanese Founder and CEO Full Prof. at POLITO Stefano Milanese Ilario Gerlero Carlo Novara Business Dev. Manager Cofounder of 2 Start-Ups Engineering Manager Expert Proj. Management Scientific Coordinator Ass. Prof. at POLITO Stefano Mosca Stefano Mosca Giorgio Roberto Mario Bonansone Administration Expert in Cofounded Proj. Industrial SW Engineer Expert in embedded sw Machine Learning Engineer Expert in ML sw design Mauricio Lotufo PhD in Control Engineering Expert in Control sw Design

16 Expected figures in 5 years:
DVS/NOx: Financial Projections Rev = €18,9M Break Even Expected figures in 5 years: 3 car makers 540 kUnits 35€/unit rev.

17 Market Attractiveness Competitive Advantage
Growing Opportunities NOx is the first product application of our technology ! High Market Attractiveness Med Low Low Medium High Competitive Advantage High Medium Low CAAGR : = 100 M€ (SOURCE: Strategy Analytics 2017)

18 Business Model Strong industrial partnership Revenues:
e.g. Embedded SW or HW Revenues: Fix :  Product supply and Licensing Variable:  Revenue sharing on customer savings  After Sales Services

19 Conventional VS Technique
DVS Competitive Advantage DVS overcomes conventional Virtual Sensors drawbacks Conventional VS Technique DVS Technique EXPERIMENTAL DATA EXPERIMENTAL DATA DVS METHOD SYSTEM MODEL FILTERING METHOD DESIGNED EDVS DESIGNED VS Drawbacks Benefits Only approximate estimates achievable Poor reliability vs. operational condition System modeling is not required Provides optimal solution

20 Real-Time data from Engine Control Unit
Appendix: NOx Direct Virtual Sensor NOx physical sensor is substituted by the DVS/NOx which estimates NOx from data available on-board NOx Sensor DVS/NOx Real-Time data from Engine Control Unit Bosch Continental NGK Delphi

21 Barriers to Competition
IP - Proprietary Software Method 3 Patents (Basic methods and SW development) Trade Secrets (i.e. 8 weeks time to delivery) 4 Trademarks Preferred supplier chosen by leading electronic and testing companies


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