Startup crystal ball: AI-driven venture...

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| 1 Aalto Fintech Seminar Series 2018-09-18 Startup crystal ball: AI-driven venture capital?

Transcript of Startup crystal ball: AI-driven venture...

Page 1: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Aalto Fintech Seminar Series

2018-09-18

Startup crystal ball: AI-driven venture capital?

Page 2: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Kaj HagrosCombining global experience from both corporate and startup worlds:digital business strategist, startup coach and venture capital investor

Sample Corporate VC Projects Sample Startup Deals Executed

Academic BackgroundCareer

▪ 2006 – 2008 Trium MBANYU Stern School of Business,London School of EconomicsHEC Paris

▪ 1994 – 1995 Ecole supérieure de Commerce de Reims▪ 1989 – 1995 MSc. (eng)

Helsinki University of Technology,Industrial Management

Managing Partner, Nordics25+ years in mobile, IT, media industries, COO/CEO corporate roles across Asia, Europe, Americas.50+ seed investments in digital media, healthcare, fintech. Chaired 10 startups.Lived and worked in Finland, France, Germany, Lithuania, Singapore, Sweden, UK, USA

Page 3: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Redstone at a glanceA powerful team and strong technology leading to outstanding investment results in the digital startup ecosystem

Berlin, Germany

Zurich, Switzerland

Helsinki, Finland

Seoul, South Korea

San Francisco, USA

Paris, France

OFFICES

VENTURE PARTNERS

Nationalities: 11

Tech Team: 6

Investment Team: 14

TEAM

EXPERIENCEStrategic Consultancy, DataEngineering, Law, BusinessPsychology, Corporate Finance,M&A, IT, Financial Computing,Private Equity, InvestmentBanking, Data Science, MachineLearning, Market Research, SerialEntrepreneur, Business Angel

Partners: 10

Size: 29ANALYTICS

DEAL FLOW

500.000+ Startups from all over the world

12.000+ Startups added every year

CLIENTS

DEALS

30+Corporate Clients in the past

5 years

300+ DealsCombined executed by our team

Page 4: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

What we are most proud of

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Redstone is trusted partner of many sector leaders

INVESTMENT STRATEGY

FUND MANAGEMENT

INVESTMENT STRATEGY

VC TRANSACTION SERVICE

FUND MANAGEMENT

DIGITAL MONITOR

INVESTMENT STRATEGY

VC TRANSACTION SERVICE

VC TRANSACTION SERVICE

FUND MANAGEMENT

DIGITAL MONITORDIGITAL MONITOR

VC TRANSACTION SERVICE

VC TRANSACTION SERVICE

VC TRANSACTION SERVICE

DIGITAL MONITOR DIGITAL MONITOR INVESTMENT STRATEGY

Page 5: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

Venture capital is traditionally basedon personal networks and gut feeling.

We wish to put data into work.For better & faster decision making.

Page 6: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

Redstone’s proprietary technologyAI-powered analytics platform with algorithmic search capabilities

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➢ Gain global access to massive dealflow of startups

➢ Leverage our proprietary technology to your firms advantage

➢ Ensure early detection of startupsthrough our AI-powered algorithm

➢ Receive all companies within one sector

➢ Company information available in a standardized format

➢ Fast and flexible process to adapt to your needs

➢ Receive only relevant deal flow using customized search criteria

➢ Continuously adapt search criteria

➢ Explore new areas of interest that were previously unknown

➢ Receive market mappings of top-notch startups showcasing the different subsegments in the sector

➢ Gain a meaningful understanding of the market and bespoke search criteria

➢ Receive a custom-made short list with startups posing a strategic fit for your company

➢ Decide on which companies to invest in and how to continue the investment journey

DATABASE SCREENING MAPPING SHORT LISTSOURCING500.000+ Startups < 200 Startups < 100 Startups < 20 Startups< 2.000 Startups

AUTOMATED TECH AUGMENTED

Page 7: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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CollectingCompany Data

Page 8: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

Sourcing Engine “Sophia”Integrating company and people information across 6 diverse data sources to identify micro- and macro-patterns about global, early stage investing activities.

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Enables analytics before the crowd

Example: Social Media sourcing tracks companies before they register at public databases.

• 13 month median gap between registration on Crunchbase and Month Founded• 3 month median gap between registration on Twitter and Month FoundedCompany Identification

Company Taxonomy

Transaction Analytics

Team Analytics

Financial Analytics

Trend Analysis

Investor Analytics

Ranking & Backtesting

PUBLIC DATABASES

COMPANY WEBSITES

SOCIAL MEDIA NEWS COMPANY

DECKS

PATENTS & PUBLICAT-

IONS

Comprises diverse data sources

Page 9: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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OrganizingCompany Data

Page 10: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Tagging investment opportunities with two machine learning based methodologies.

Startup Taxonomy

Supervised Learning Unsupervised Learning

• Sector (27 distinct industries)

• Business model (Market place, SaaS, License, …)

• Client focus (B2B, B2C, B2B2C, P2P)

• Technology (IoT, AI, AR, Blockchain, 3D Printing, …)

• Business solutions (700 distinct tags)

• Up to 5 tags per company

• Hierarchical structure → similar business solutions grouped into general

clusters

• Pre-defined categories

• Trained using a supervised machine learning model

• Flexible tags changing according to new trends

• Grouping tags using a multi-level clustering algorithm.

• Sector: Professional Services

• Business model: License

• Client focus: B2B

• Technology: Drones

• Computer Vision

• Geospatial

• Image Recognition

• Robotics

• Software

→ Allows to quickly classify any company to a category → Granular detail, monitor trends and benchmark business solutions

Page 11: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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ChoosingInvestment Targets

Page 12: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Startup RankingAccelerating target selection with a multi-level startup ranking system.

*Financials manually scored as financial information about peers are not publicly available.** Back-tested on historical data

Relevant factors

• Previous funding• Last/previous ratio• Gap from last funding

• Education (e.g. top universities)• Previous roles and experience (e.g.

executive roles, previous founders)• Employee growth

• Top investor rank• Median investor rank• Foreign investors

• Top line growth• Gross margin improvement• EBITDA improvement

• Relative growth of the segment• Segment proportion of growth stage

investments over the past 2 years

Percentile rank

0 - 1

0 - 1

0 - 1

0 - 1

0 - 1

Criteria

Funding score

Team score

Investor score

Financial score*

Segment score

Attributed weight**

Weight 1

Weight 2

Weight 3

Weight 4

Weight 5

Criteria

Funding score

Team score

Investor score

Financial score*

Overall score

Segment score

Target 1

0.31

0.45

0.22

0.40

0.36

0.52

Target 2

0.66

0.48

0.94

0.80

0.70

0.50

Target 3

0.48

0.31

0.29

0.50

0.48

0.54

Target 4

0.87

0.85

0.93

0.90

0.87

0.54

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Performance IndexThe performance Index measures portfolio performance such as exit share, share of lead investments, recent investment activity among others.

Network IndexThe Network Index ranks importance of investors in the global and local investment network. The higher the score, the more central and the more important an investor is in the network.

VIEW SAMPLE: INVESTOR RANKING CHINA INVESTOR RANKING ELEMENTS

Specific IndexThe Specific Index ranks investors investment activity in a geographical region or specific industry. Redstone distinguishes between 27 industry segments and 700+ business solutions.

Information Basis

Investment activities of VC investors, the underlying investment target characteristics and the related network of co-investments.

Industry / Geographical Filter

In-house developed classification taxonomy with several dimensions allows ranking investors in a specific area of interest.

Investor Ranking

Investment ranking methodology is based on portfolio performance, network centrality and specialization level of VC-investors worldwide.

Rank Investor Name Index Network Index Performance Index

LocalIndex

% Investments in the region Funding Rounds HQ

1 IDG Capital 0,919 0,993 0,957 0,475 72% 373 CHN

2 Baidu 0,914 0,978 0,961 0,472 70% 61 CHN

4 Matrix Partners China 0,912 0,980 0,949 0,494 77% 210 CHN

5 Legend Capital 0,911 0,977 0,954 0,472 71% 108 CHN

6 Hillhouse Capital Group 0,907 0,979 0,959 0,415 55% 52 CHN

14 GSR Ventures 0,901 0,976 0,934 0,468 67% 101 -

15 GGV Capital 0,900 0,995 0,960 0,276 36% 131 USA

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Investor RankingIdentifying top-tier co-investors in a specific geography, industry or technology.

Page 14: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Investor Rankings / Q1-2019Example: Global Top 20 Investors

Rank Investor Name Final Index

Network Index

Performance Index

1 Insight Venture Partners 0,989 0,998 0,9792 Meritech Capital Partners 0,989 0,998 0,9793 OrbiMed 0,989 0,998 0,9794 TCV 0,988 0,998 0,9785 Goldman Sachs 0,988 0,999 0,9766 IVP (Institutional Venture Partners) 0,988 0,998 0,9777 Accel 0,988 1,000 0,9758 New Enterprise Associates 0,988 1,000 0,9759 Benchmark 0,987 0,999 0,975

10 Scale Venture Partners 0,987 0,997 0,97711 Sapphire Ventures 0,987 0,997 0,97712 NextGen Venture Partners 0,987 0,999 0,97513 Tiger Global Management 0,987 0,998 0,97614 T. Rowe Price 0,987 0,996 0,97815 Warburg Pincus 0,987 0,996 0,97816 Battery Ventures 0,987 0,999 0,97517 Sequoia Capital 0,987 1,000 0,97418 Venrock 0,987 0,999 0,97519 Tencent Holdings 0,987 0,999 0,97520 Canaan Partners 0,987 0,999 0,974

Regional and stage focus of investment activity

Size of the bubble = number of investment rounds Color = investor ranking

Sourcing Engine “Sophia” allows identification of top performing investors globally.

Page 15: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Investor Rankings / Q1-2019Example: Europe Top 20 Investors in Mobility Sector

Rank Investor Name Final Index

Network Index

Performance Index

1 Partech 0,960 0,982 0,9372 Baillie Gifford 0,945 0,931 0,9583 360 Capital Partners 0,936 0,944 0,9274 Daimler 0,921 0,912 0,9305 Target Global 0,894 0,893 0,8946 Anthemis Group 0,881 0,940 0,8217 Credit Suisse 0,879 0,865 0,8928 Index Ventures 0,878 0,995 0,7609 Atomico 0,855 0,968 0,742

10 Idinvest Partners 0,850 0,951 0,74911 Eight Roads Ventures 0,839 0,965 0,71312 Earlybird Venture Capital 0,838 0,951 0,72513 Balderton Capital 0,838 0,967 0,70914 EU Executive Agency for SMEs 0,838 0,964 0,71115 Bpifrance 0,832 0,931 0,73216 European Investment Bank (EIB) 0,830 0,725 0,93417 DN Capital 0,828 0,970 0,68518 Robert Bosch Venture Capital 0,819 0,920 0,71819 HV Holtzbrinck Ventures 0,814 0,947 0,68120 Amadeus Capital Partners 0,813 0,936 0,690

Sourcing Engine “Sophia” allows identification of top performing investors within a specific geography and stage focus.

Size of the bubble = number of investment rounds Color = investor ranking

Regional and stage focus of investment activity

Page 16: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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KnowledgeTracking

Page 17: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

Note: (1) Highlighted are the organizations from DACH Region, Central Europe and the Nordics.(2) Circle Size = Page Rank (measure of relative importance by counting the number and quality of citations ). Connections between organizations represent inbound or outbound citations in published academic papers.(3) Locations on the map are approximated.Source: Redstone

As an exercise, we have identified thetop knowledge producers in quantumcomputing that can lead to successful

spin-offs in selected European countries

• We analyse patents to assess startups‘ intangible asset value• We map academic publications to identify the core institutions leading to potential commercial

spin-offs

Knowledge Tracking

Page 18: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Bottom-Up Trend Analysis

Page 19: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Built your investment thesis based on bottom-up trend analysisDriving Forces in Internet of Things - Technology Drivers translating into the Commercial Applications

Technology Drivers

XXXCloud Computing

Analytics-as-a-Service

Commercial Applications # 14,514

App Explosion

Marketing Automation

Sensors

IPv6

S H O W C A S E .

Source: Deals sourced by Redstone.Note: Commercial applications founded between the years of 2000 and 2018.

Sector AgnosticReal EstateOil & Gas Smart Cities

FashionITTrade Transportation

ManufacturingFinanceAccommodation Education

Smart FoodSmart HomeConnected Cars Energy

UtilitiesTelecommunicationHealth Services Industrial IoT

Page 20: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

0

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2010 2011 2012 2013 2014 2015 2016 2017 2018

Funding Amount (m USD) # of Funding Rounds

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Snapshot of the Internet of Things market

Evolution of global investments

Fund

ing

amou

nt (i

n m

USD

)

No.

of f

undi

ng ro

unds

Recent statistics show that the market is growing and that market consolidation is taking place. The total amount of funding shows mixed results up until 2015 where it

starts increasing and shows significant growth. The total number of funding rounds peaked in 2016 and remains stable fairly unchanged since then.

I n s u r a n c e T e c h n o l o g yS H O W C A S E .

Source: Redstone Sourcing Engine, Tracxn

Page 21: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Top Internet of Things Acquisitions in 2018I n s u r a n c e T e c h n o l o g y

S H O W C A S E .

Source: Index Ventures

Rank Acquire Amount DateAcquirer

# 1 NEST $ 3,2b 12 Feb 18Google

# 2 Mobike $ 2,7b 04 Apr 18Meintuan-Dianping

# 3 Cylance, Inc. $ 1,4b 16 Nov 18Blackberry

# 4 Ring $ 1b 28 Feb 18Amazon

# 5 Relayr $ 300m 05 Sep 18Munich Re (Group)

# 6 Propeller Health $ 225m 03 Dec 18ResMed

# 7 FIBARO $ 73m 13 Jul 18Nice SPA

# 8 Xively $ 50m 16 Feb 18Google

#9 Tapzo (formerly Helpchat) $ 40m 31 Aug 18Amazon

# 10 Lytro $ 40m 21 Mar 18Google

Page 22: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Selected Case: Human Machine Interface (HMI)Market mapping of potential search clusters and relevant companies

H A P T I C

S H O W C A S E .

G E S T U R E R E C O G N I T I O N

E Y E T R A C K I N G

V O I C E R E C O G N I T I O N

HUMAN CENTRIC INTERFACE

Page 23: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Keyword & Proximity Search

Page 24: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience
Page 25: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

Redstone’s proprietary data analytics capabilityEmpowering investors to make faster and better informed decisions

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Data Aggregation Exploration and Analytics Due Diligence

DATABASE SCREENING MAPPING SHORT LISTSOURCING

500.000+

Startups

DEAL SELECTION DD COORDINATION

< 2.000

Startups

< 200

Startups

< 100

Startups

< 20

Startups

1

Startup

• 500k+ startups

• 12k+ new startups per year

• 880k Founders, Advisors,..

• 250kTransactions

• Easy identification of relevant startupsthrough an automated taxonomy

• Long list generation

• Automated extraction of company deckcontents in pdf format

• Startup filtering based on pre-defined investment criteria defined by the client

• Market mappings

• Segment valuations and analytics

• Co-Investor and network analytics

• Talent and capital flows

• Short list generation

• Automated generation of startup teasers

• Automated startup ranking (team, investors, financials, etc.)

• Automatedinvestor ranking (network and performance evaluation)

• Team ranking (exits, CxOs, education)

• Competitor analysis

• Portfolio back-testing

• Company valuations

Page 26: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

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Tech Roadmap 2016-2020

Automated sourcing engine2016

Global investment activity analytics2018

Technological innovation analytics2018

Pitch-deck processing moduleRoll-out: 2019-2020

Dynamic taxonomy2017

Proximity search according to similar companies2018

Automated digital monitorRoadmap 2019-2020

Competition & market analysis module2018

Back-testing tool2019

Automated investment case reportingRoadmap 2019-2020

Ranking tool2019

Data Aggregation Exploration and Analytics Due Diligence

Page 27: Startup crystal ball: AI-driven venture capital?blogs.aalto.fi/fintech/files/2019/09/Hagros-Aalto-Fintech-Sep-2019.pdf · AI-driven venture capital? 2 KajHagros Combining global experience

Thank You!

[email protected]

fi.linkedin.com/in/hagros/

@kajhagros

+358 40 849 1749

redstone.vc