extracting meaning from video...industry/sector use description 3 security & surveillance...

Video Analytics MarketExtracting Meaning from Video

2Q 2018

I. EXECUTIVE SUMMARY

Video content analysis (also video “analytics”) is the capability of automatically analyzing video to detect and determine temporal and spatial events. This report contains an overview of the video Content Analysis sector which includes market trends including funding & founding activity, top companies, top business models, sub- sector overview, applications, etc.

We have considered companies which provide infrastructure and applications for video analytics. These include, but are not limited to, platform, libraries or SDK, software system, etc. We have considered companies providing solutions for below-mentioned business models:

‒ Computer Vision Infrastructure‒ Gesture & Eye Tracking‒ Facial Expression Analysis‒ Security & Surveillance‒ Retail Analytics‒ Autonomous System Enablers

In machine learning, a convolutional neural network (CNN) is a class of artificial neural networks that has successfully been applied to analyzing visual imagery. Convolutional networks were inspired by biological processes in that the connectivity pattern between neurons resembles the organization of the animal visual cortex. CNNs use relatively little pre-processing compared to other image classification algorithms. This means that the network learns the filters that in traditional algorithms were hand-engineered. This independence from prior knowledge and human effort in feature design is a major advantage.

Scope of Report

2

Industry/Sector Use Description

1 Retail

Store MonitoringStore monitoring system tracks all in-store activity and provides alerts in cased of suspicious activity such as theft

Consumer Behavior AnalysisIt helps retail store in tracking and analyzing user purchasebehavior

Store Management It helps retail store in shelf management and stock tracking

2 Autonomous Systems

Smart CarVideo analytics systems enable cars to understand surrounding environment such as roads, people, obstacles, etc.

RobotsVideo analytics systems enable robots to understand surrounding environment such as objects, places, etc.

DronesVideo analytics systems enables drones to understand surrounding environment such as obstacles, animals, etc.

Video Content Analysis - Applications

3

Industry/Sector Use Description

3 Security & Surveillance Surveillance

It connects with available camera infrastructure and helpsbusinesses and governments to monitor and identify unwanted activity such as theft, terrorism, violence, etc. These systems also provide automatic notification in case of any unusual or predefined activity.

4 Healthcare Behavior AnalysisIt helps doctors or hospitals to understand patient behavior after or before treatment for better recovery

5 Media & Entertainment Media Content Management

Video analytics system automatically tags the video contentand helps media companies to manage data easily. Thesesystems also provide features for video search based on their content.

6 Enterprises

Video TaggingIt automatically tags the content including objects, faces, etc. in a large amount of video data for use cases such as data management, video search, analysis, etc.

Behavior AnalysisThis helps companies to analyze consumer behavior for their products using webcam or other camera feed.

Video Content Analysis - Applications (Cont.)

4

SNo. Industry/Sector Use Description

7 Government

Traffic ManagementIt helps government authorities to monitor and analyze traffic activity for better management

Law EnforcementIt helps law enforcement agencies to monitor multiple video feeds to identify suspicious activity, investigate criminal activity, and track criminals through live video feeds

Crowd ManagementIt helps government agencies to manage the crowd at the time of big events such as sports events, concerts, etc.

8 Gaming Motion TrackingIt helps gaming devices to track the movement of players in real-time for interactive gaming exercise. E.g. Kinect -Xbox 360

Video Content Analysis - Applications (Cont.)

▪ In addition to above applications video analytics software are also being used by industries such asconstruction, oil and gas, mining, energy, manufacturing, etc. to monitor and track day to dayactivity.

▪ Manufacturing industry is using video analytics systems for inspection as well as to enable visualperception in to automation system.

5

II. ENTREPRENEUR ACTIVITY

24

17

24

3230

50

33

11

0

10

20

30

40

50

60

2010 2011 2012 2013 2014 2015 2016 2017

# o

f C

om

pan

ies

Year

Trax Prism Skylabs Emotient Eyefluence SenseTime Matroid CrowdAI Ambient

Crunchfish Kairos OnTheGo Platforms DeepGlint Tunicorn DeepScale VidRovr Rekall

YoY – Number of Companies Founded

7

III. INVESTMENT TREND

$20M$56M

$31M $28M

$102M$126M

$106M

$51M

$214M

$602M

5

9

7

20

27

22

3334

3521

0

5

10

15

20

25

30

35

40

0

100

200

300

400

500

600

700

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Nu

mb

er

of

Ro

un

ds

Fun

din

g A

mo

un

t ($

M)

Year

YoY – Number of Rounds and Total Funding

9

0

5

10

15

20

25

30

35

2011 2012 2013 2014 2015 2016 2017

No

of

Ro

un

d

Year

Seed

Early

Late

YoY – Number of Rounds by Stage

10

-

100

200

300

400

500

600

700

2011 2012 2013 2014 2015 2016 2017

Fun

din

g A

mo

un

t ($

M)

Year

YoY – Number of Funding Rounds by Stage

Seed

Early

Late

11

$0.9M $1M $0.3M$0.7M

$0.9M $1.5M$1.5M$4.4M

$3.1M$6.6M

$3M$8.3M$5M $2M $15M $8.1M $14M

$120M

$235M

0

50

100

150

200

250

2011 2012 2013 2014 2015 2016 2017

Fun

din

g in

$M

YearSeed Series A Series B

Average Round Size – Early Stage

12

CompanyFundingAmount

Round Name

Date Investors

sensetime.comSenseTime(Hong Kong, 2014)

$410M Series B Jul, 2017

CDH Investments; Morningside Ventures; CICC; Shenzhen Cornerstone Asset Management; Zhiyuan Capital; China Renaissance; China Everbright; dfzt.com.cn; China HuaRong Assets Management; oih.com.cn; TCL


$120M Series B Dec, 2016 CDH Investments; Dalian Wanda Group; IDG Capital Partners

traxretail.comTrax(Tel Aviv, 2010)

$64M Series D Jun, 2017


$60M Series B Apr, 2017

traxretail.comTrax(Tel Aviv, 2010)

$20M Series C Feb, 2017 Investec

neurala.comNeurala(Cambridge, 2006)

$14M Series A Jan, 2017Pelion Venture Partners; Sherpa Capital; Motorola Solutions; 360 Capital Partners; Draper Associates; SK Ventures; BYU Cougar Capital; Electranova Capital; Ecomobility Ventures

matroid.comMatroid(Palo Alto, 2015)

$10M Series A Sep, 2017 New Enterprise Associates; Intel Capital

imagry.coImagry(Haifa, 2013)

$7M Series A Jul, 2017 Takwin Labs; Samsung

Top Investments in the Prior 12 Months (1/3)

13


Round Name

Date Investors

deepscale.aiDeepScale(Mountain View, 2015)

$3M Seed Mar, 2017 Bessemer Venture Partners; Greylock Partners; Autotech Ventures

spektral.comSpektral(Copenhagen, 2015)

$3M Seed Jun, 2017 Litecap; Amp Ventures

3vr.com3VR(San Francisco, 2002)

$2M Conventional Debt Nov, 2016

crowdai.comCrowdAI(Mountain View, 2016)

$2M Series A Jan, 2017 Susa Ventures; BoxGroup; SV Angel; AME Cloud Ventures; Compound

valossa.comValossa(Oulu, 2015)

$2M Seed Sep, 2017 01 Ventures; Reaktor Ventures; Butterfly Ventures

vidrovr.comVidRovr(New York City, 2016)

$900k Seed Sep, 2017

boulderimaging.comBoulder Imaging(Louisville, 1994)

$250k Convertible Debt Oct, 2016

corseco.inCorseco(Delhi, 2016)

$150k Angel Nov, 2016


14


Round Name

Date Investors

ambient.aiAmbient(Palo Alto, 2017)

$120k Seed Oct, 2017 Y Combinator

uncannyvision.comUncanny Vision(Bangalore, 2013)

$100k Seed Jan, 2017 Qualcomm

exvision.co.jpExvision(Tokyo, 2009)

Series A Jun, 2017 Toyota Motor Corporation; Intel Capital

facethink.comFaceThink(Beijing, 2016)

Seed May, 2017

qfeeltech.comQuick Feel Tech(Beijing, 2014)

Series A Feb, 2017 Tusstar; WI Harper Group; SAIF Partners China

uncannyvision.comUncanny Vision(Bangalore, 2013)

Seed May, 2017 Target; Jetty Ventures

videantis.comVideantis(Hannover, 2004)

Series A Sep, 2017 eCapital


15

Percent of Previous

41%

29%

40%

32

8

16

40

136

328

M&A &IPO

Late

Series B

Series A

Funded

Founded

# of Companies

Funnel View of Sector

16

IV. WHO IS INVESTING

Most Active Investors in Sector

18

6

4 4

3 3 3 3

2 2 2

0

1

2

3

4

5

6

7

Tota

l nu

mb

er o

f co

mp

anie

s

Tobii Quividi Neurala 3VR Eyefluence Neurala CrowdAI Koemei CrowdAI Videonetics

Prism Skylabs ThirdEye ReTel Technologies Affectiva Agent Vi algocian Prayas Analytics Faception Canvas Technology Nexpa

Computer Vision Infrastructure

Matroid, Exvision

Ambient Koemei

Retail Analytics Prism SkylabsQuividi,

ThirdEyeReTel

TechnologiesUlucu

Prayas Analytics

Videonetics

Gesture & Eye Tracking

Tobii, Eyefluence

Eyefluence

Security & Surveillance

VergenceTechnologies

algocian 3VR Agent Vi algocian Faception Nexpa

Facial Expression Analysis

Emotient Sightcorp IMRSV Affectiva

Autonomous System Enablers

Neurala Neurala Neurala CrowdAICrowdAI, Canvas

Technology

Intel CapitalPlug and Play Tech Center

Techstars KPCBMotorola Solutions

Right Side Capital

ManagementY Combinator 500 Startups

AME Cloud Ventures

Cisco Investments

Where Top Investors Are Investing

19

Techstars 3

Y Combinator 3

Entrepreneur First 2

National Research Foundation

2

Plug and Play Tech Center

2

01 Ventures

10Xelerator

360 Capital Partners

AJ Ventures & Investments

Amp Ventures

Intel Capital 4

21Ventures

360 Capital Partners

AME Cloud Ventures

Andreessen Horowitz

Anthem Venture Partners

Atlas Venture

BYU Cougar Capital

Benhamou Global Ventures

BoxGroup

Intel Capital 2

21Ventures

Amadeus Capital

Atlas Venture

Beijing Ufida happiness Capital Management

Blueprint Ventures

CDH Investments

CEVA

CICC

Canaan Partners

KPCB 2

Kuang-Chi Group 2

Atlas Venture

Cisco

Columbia Capital

DAG Ventures

Eastward Capital Partners

Fenox Venture Capital

Focus Ventures

Horizons Ventures

Seed Series A Series B Later Stage

Top Investors by Stage of Entry

20

V. EXIT OUTLOOK – IPO, Acquisitions

IPO Date

Company OverviewFunding Amount

Nov, 2016crunchfish.com

Crunchfish(Stockholm, 2010)

Touchless gesture recognizing software for computer interaction$10.5M

Apr, 2015tobii.com

Tobii(Danderyd, 2001)

Eye-tracking Software and HardwareSixth AP Fund, Intel Capital, Amadeus Capital, Northzone, Investor Growth Capital $71.9M

Recent IPOs

22

Recent Acquisitions

23

Date Company Acquirer Deal size OverviewTotal

Funding

Apr, 2018koemei.co

mUru(New York City, 2016)

AdobeProvider of an online video advertising platform designed to pair brands with visual content in powerful, brand-safe ways.

$1.0M

Mar, 2018smivision.

comAvigilon(Vancouver, Canada, 2004)

Motorola Solutions

$931.8MDeveloper of advanced video surveillance and analytics technology products designed yo issue alerts in real time when a person, object or vehicle of interest is detected.

$112.6M

Feb, 2018 sticky.ai3VR(San Francisco, 2002)

Identiv $13.0MProvider of video surveillance and analytics platform designed to accelerate security investigations and gain strategic insights about customers.

$73.4M

Aug, 2017gestigon.c

omvBrand(Tel Aviv, Israel, 2013)

NielsenDeveloper of a machine learning-enabled platform designed for real-time sports sponsorship measurement.

$1.1M

Jun, 2017 dextro.coPanasonic Cloud Management (Amsterdam, Netherlands, 2013)

Eagle Eye Networks

Provider of cloud-based video services across Europe.

Jan, 2017theeyetrib

e.comObject Video(Tysons, VA 1998) Alarm.com

$7.0MDeveloper of customized video intelligence software designed to extract meaning and intelligence from video streams in real-time.

Jun, 2016visualint.n

etCognimatics(Lund, Sweden, 2003)

AxisProvider of an embedded analytics platform intended for footfall analysis, queue measurement and occupancy.

Mar, 2016eyefluenc

e.comMobotix(Langmeil, Germany, 1999)

Konica Minolta $221.0MProvider of video analysis software. The company is a producer of smart and autonomous IP cameras.

$20.9M

Cloud Management

Recent Acquisitions

24

Date Company Acquirer Deal size OverviewTotal

Funding

Sep, 2017koemei.co

mKoemei(New York City, 2012)

Crealogix Video content search and analytics.Scrum Ventures, 500 Startups, Han Hai Investment, CRCM Venture Capital

$1.7M

Jun, 2017smivision.

comSensoMotoric Instruments(Teltow, 1991)

Apple Eye and gaze tracking solutions

May, 2017 sticky.aiSticky(New York City, 2009)

Tobii Provides emotion intelligence for websiteDawn Capital, Northzone, Conor Venture Partners

$11M

Mar, 2017gestigon.c

omGestigon(Rostock, 2011)

ValeoGesture recognition software for natural user interfacesSchleswig Holstein, High-Tech Grunderfonds, Vorwerk, MBG Schleswig-Holstein

$880k

Feb, 2017 dextro.coDextro(New York City, 2012)

TASER International

Image and video recognitionRRE Ventures, KBS Ventures, YEI Innovation Fund, Two Sigma Ventures, Connecticut Innovations, MDC Ventures

$1.7M

Dec, 2016theeyetrib

e.comThe EyeTribe(Copenhagen, 2011) Oculus VR

Eye Tracking TechnologyEuropean Union, Startupbootcamp

$3M

Nov, 2016visualint.n

etVisualint(Palmetto, 2010)

SnapAVSecurity cameras and smart software for added business value

Oct, 2016eyefluenc

e.comEyefluence(Milpitas, 2013)

GoogleEye tracking & eye control technology for HMDsMotorola Solutions, JAZZ Venture Partners, NHN Investment, Dolby Family Ventures, Intel Capital, Xandex Investments

$21.6M

VI. SUB SECTOR ANALYSIS

$651M

$235M

$166M$145M

$68M$29M

0

100

200

300

400

500

600

700

Computer VisionInfrastructure

Retail Analytics Gesture & EyeTracking

Security &Surveillance

Facial ExpressionAnalysis

Autonomous SystemEnablers

Tota

l Fu

nd

ing

Am

ou

nt

($M

) Top Business Models by Funding

26

SenseTime Trax Tobii

3VR

Affectiva Neurala

Matroid Brickstream eyeSight VideoIQ Sticky BrainTech

Average Age

(Years)2012 2011 2009 2005 2012 2009

Cos. 57 58 53 81 30 49

IntelliVision

$625M

$26M

14

17

0

2

4

6

8

10

12

14

16

18

0

100

200

300

400

500

600

700

Platforms Video Analysis

#Fu

nd

ed C

om

pan

ies

Fun

din

g in

$M

BM Wise Investment

$1M

$2M$4M

$420K $14M $7M

$124M

$493M

21

1

3

6

7

1012

0

2

4

6

8

10

12

14

0

100

200

300

400

500

600

2010 2011 2012 2013 2014 2015 2016 2017

# o

f R

ou

nd

s

Fun

din

g in

$M

YoY – Total Funding and No of Rounds

25

8

3 3 2 2 2 2

UnitedStates

India China Israel Finland Germany Italy Japan

Distribution of Companies Across Countries

4

1 1

10

65

16

7

3

2009 2010 2011 2012 2013 2014 2015 2016 2017

YoY – No. of Companies Founded

Computer Vision Infrastructure - Key Trends

27

Computer Vision Infrastructure - Most Funded Companies

28

Company Overview Business ModelFunding Amount

SenseTime(2014, Hong Kong)

Provides deep learning based image recognition solutionsCDH Investments, Morningside Ventures, CICC, Shenzhen Cornerstone Asset Management, Zhiyuan Capital, China Renaissance, China Everbright, dfzt.com.cn, China HuaRong Assets Management, oih.com.cn, TCL, Dalian Wanda Group, IDG Capital Partners

Computer Vision Infrastructure > Platforms

$600M

Matroid(2015, Palo Alto)

Deep Learning based computer vision platformNew Enterprise Associates, Intel Capital


$13.5M

Image Vision(2009, Anna)

Visual object recognition softwareGreen Park and Golf Ventures, Tech Wildcatters, Javelin Venture Partners, Walden Venture Capital, Bowery Capital, American Family Ventures, Blossom Street Ventures

Computer Vision Infrastructure > VideoAnalysis

$7.5M

Imagry(2013, Haifa)

Image recognition for EnterprisesTakwin Labs, Samsung, 10Xelerator


$7.4M

IntelliVision(2002, San Jose)

AI and Deep Learning-based video analyticsBenhamou Global Ventures


$7.0M

Cogisen(2009, Rome)

Image processing platformVertis SGR, IMI Fondi Chiusi SGR, European Commission


$3.3M

Spektral(2015, Copenhagen)

Provides machine learning based technology for mixed realityLitecap, Amp Ventures, Seed Capital


$2.8M

Valossa(2015, Oulu)

Artificial Intelligence Powered Video Search.01 Ventures, Reaktor Ventures, Butterfly Ventures


$2.7M

Sighthound(2012, Menlo Park)

Video surveillance using computer visionIronfire Ventures


$2.5M

Companies that offer in-store analytics by using data from CCTVs or cameras placed around the stores

$10M

$10M

$2M

$17M

$26M$31M

$3M

$40M

$84M

1

4

21

55

6

8

5

2

0

1

2

3

4

5

6

7

8

9

0

10

20

30

40

50

60

70

80

90

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

# o

f R

ou

nd

s

Fun

din

g in

$M


11

5 5 5 54

2 2

United States Israel United Kingdom France

Distribution of Companies across Countries

3

1

3

7

3

8

7 7

6

2

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017


Retail Analytics - Business Model Description & Key Trends

29

Retail Analytics - Most Funded Companies

30


SenseTime(2014, Hong Kong)

Provides deep learning based image recognition solutionsCDH Investments, Morningside Ventures, CICC, Shenzhen Cornerstone Asset Management, Zhiyuan Capital, China Renaissance, China Everbright, dfzt.com.cn, China HuaRong Assets Management, oih.com.cn, TCL, Dalian Wanda Group, IDG Capital Partners


$600M

Matroid(2015, Palo Alto)

Deep Learning based computer vision platformNew Enterprise Associates, Intel Capital


$13.5M

Image Vision(2009, Anna)

Visual object recognition softwareGreen Park and Golf Ventures, Tech Wildcatters, Javelin Venture Partners, Walden Venture Capital, Bowery Capital, American Family Ventures, Blossom Street Ventures


$7.5M

Imagry(2013, Haifa)

Image recognition for EnterprisesTakwin Labs, Samsung, 10Xelerator


$7.4M




$7.0M

Cogisen(2009, Rome)

Image processing platformVertis SGR, IMI Fondi Chiusi SGR, European Commission


$3.3M

Spektral(2015, Copenhagen)

Provides machine learning based technology for mixed realityLitecap, Amp Ventures, Seed Capital


$2.8M

Valossa(2015, Oulu)

Artificial Intelligence Powered Video Search.01 Ventures, Reaktor Ventures, Butterfly Ventures


$2.7M

Sighthound(2012, Menlo Park)

Video surveillance using computer visionIronfire Ventures


$2.5M

Companies developing technology or systems for motion/gesture and eye-tracking

$29M

$7M

$31M

$14M

$34M

$17M

$23M

2

5

7

4

12

8

7

0

2

4

6

8

10

12

14

0

5

10

15

20

25

30

35

40

2009 2010 2011 2012 2013 2014 2015 2016 2017

# o

f R

ou

nd

s

Fun

din

g in

$M


11

7

5 54

2 2 2

UnitedStates

Canada Germany Israel Sweden Denmark Finland France


12

12

4

7 7

34

2

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017


Gesture & Eye Tracking - Business Model Description & Key Trends

31

Gesture & Eye Tracking - Most Funded Companies

32


Seeing Machines(2000, Australia)

Camera technology that detects Driver Fatigue & DistractionVolvo Group Venture Capital, V S Industry


$100M

Tobii(2001, Danderyd)

Eye-tracking Software and HardwareSixth AP Fund, Intel Capital, Amadeus Capital, Northzone, Investor Growth Capital


$71.9M

eyeSight(2005, Herzliya)

Gesture Recognition technology providerKuang-Chi Group, BIRD Foundation, MAC Fund, CEVA, Mitsui Global, InterCapital


$26.6M

Eyefluence(2013, Milpitas)

Eye tracking & eye control technology for HMDsMotorola Solutions, JAZZ Venture Partners, NHN Investment, Dolby Family Ventures, Intel Capital, Xandex Investments


$21.6M

Crunchfish(2010, Stockholm)

Touchless gesture recognizing software for computer interaction Gesture & Eye Tracking

$10.5M

Extreme_Reality(2005, Herzliya)

3D motion capture using a single standard 2D cameraMarker


$10M

Organic Motion(2006, New York City)

Marker less motion capture systemsFoundry Group


$7.4M

Mirametrix(2010, Montreal)

Hardware and software for eye trackingTandemLaunch, Ferst Capital Partners


$4.3M

OnTheGo Platforms(2012, Portland)

AR Software/Applications Smart GlassesRogue Venture Partners, Portland Seed Fund, Foundry Group, SK Ventures, Social Leverage, Cardigan Ventures


$3.5M

Companies that focus on providing analytics using the video data captured

$19M

$12M

$17M

$9M

$27M

$76M

$17M$9M $10M

3

1 1

3 3

5

3

5

6

0

1

2

3

4

5

6

7

0

10

20

30

40

50

60

70

80

90

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

# o

f R

ou

nd

s

Fun

din

g in

$M


23

9

65 5

4 43

UnitedStates

UnitedKingdom

Israel Germany India Canada China Russia


54

2 23

7

10 10

2

2009 2010 2011 2012 2013 2014 2015 2016 2017


Security & Surveillance - Business Model Description & Key Trends

33

Security & Surveillance- Most Funded Companies

34


3VR(2002, San Francisco)

Video intelligence solutions for real-time security to detect fraud and customer insightsOpus Bank, Menlo Ventures, KPCB, Focus Ventures, DAG Ventures, VantagePoint Capital Partners, In-Q-Tel, Northgate Capital


$59.5M

VideoIQ(2006, Bedford)

Real-time video contents analysis systemAtlas Venture, Matrix Partners, Tenaya Capital, Cisco, Lehman Brothers, Accomplice


$29M

Agent Vi(2003, Rosh Haayin)

Provider of open architecture and video analytics software.Kuang-Chi Group, Motorola Solutions, Indigo Strategic Partners, 21Ventures


$20M

DeepGlint(2013, Beijing)

Computer vision for security and business analysisSequoia Capital, Ceyuan Investment Consulting, ZhenFund


$18M

Vidient(2003, Santa Clara)

Behavior recognition and video analytics softwareCanaan Partners, Trident Capital, Blueprint Ventures, Hotung Group


$12M




$7.0M

Mango DSP(1996, Norwalk)

MangoDSP develops intelligent video surveillance softwareMercantile Discount Bank, Juneau Capital, Cybele Holdings, Clal Finance Mutual Funds, Van Leer Technology Ventures


$3.5M

Vi Dimensions(2015, Ayer Raja New Town)

Video analytics solutions for security purposeNational Research Foundation


$1.5M

SeeQuestor(2014, London)

Video analysis platform, Used for solving crime casesSyndicate Room, Anglo Scientific, Innvotec


$1.4M

Companies providing facial expression recognition and analysis solutions for behaviour/emotion analytics

$3M$8M

$23M

$6M$7M

$15M $14M

2

9

10

23

5

2

10

2

4

6

8

10

12

0

5

10

15

20

25

2010 2011 2012 2013 2014 2015 2016 2017

# o

f R

ou

nd

s

Fun

din

g in

$M


11

3 32 2 2

1 1

UnitedStates

Poland UnitedKingdom

Canada Israel Slovakia Chile China


3 3

1

2 2

8

4

3

1 1

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017


Facial Expression Analysis - Business Model Description & Key Trends

35

Facial Expression Analysis - Most Funded Companies


Affectiva(2009, Waltham)

Deep learning based emotional state detectionFenox Venture Capital, Horizons Ventures, KPCB, WPP, Myrian Capital, National Science Foundation, Kantar


$34M

Sticky(2009, New York City)

Provides emotion intelligence for websiteDawn Capital, Northzone, Conor Venture Partners


$11M

Emotient(2012, San Diego)

Facial expression recognition & analysisIntel Capital


$8M

Kairos(2011, Miami)

Facial Recognition APINew World Angels, venVelo, Florida Angel Nexus, Kapor Capital, Seraph Group, Eniac Ventures, Caerus Ventures, SoGal Ventures, Backstage Capital


$4.3M

Emotion Intelligence(2011, Tokyo)

Emotional Intelligence through Artificial IntelligenceDG Incubation, Lead Capital Management, Social Starts, Open Network Lab


$3.9M

Realeyes(2007, London)

Emotional analytics supporting emotional advertisingEuropean Commission, Entrepreneurs Fund, Smartcap, European Union, Estonian Development Fund


$3.5M

Machine Perception Technologies(2008, San Diego)

Expression Recognition Technology Facial Expression Analysis

$2M

IMRSV(2010, New York City)

Emotion recognition and face detection softwareQuotidian Ventures, The Windquest Group, Colorado, Techstars, Start Garden, Eniac Ventures


$950k

36

Rudy Burger

Managing Partner, Managing Director

+1 650 513 2755

[email protected]

WCP Contact Information

37

Vini Jolly

Executive Director

+1 650 446 9389

[email protected]

Shusaku Sumida

Managing Director

+1 650 513 2760

[email protected]

About Woodside Capital Partners

Woodside Capital Partners (WCP) is a global independent investment bank delivering world-class strategic and financial advice toemerging growth companies in the technology sector. We focus on transactions ranging from $15 million to $300 million andknow how to “close the deal” whether it’s through M&A, capital raising, private placement or strategic partnering.With a strong track record in M&A, strategic partnerships and private placements, Woodside Capital Partners has been providingworldwide investment banking services since 2001. Woodside Capital Partners has offices in Silicon Valley and London, andleading domain experience in technology, media, and telecommunications. The team of Woodside Capital Partners hascompleted transactions totaling more than $10 billion. For more information, please visit www.woodsidecap.com

38

About

http://www.woodsidecap.com/

Silicon Valley Offices1950 University Ave, Suite 150Palo Alto, CA 94303Tel: +1 650 513 2775

UK OfficesFloor 8One Angel Court,London EC2R 7HJTel: +44 203 858 7551

39

Silicon Valley and UK Offices

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Important DisclosuresWoodside Capital Securities, LLC is not a market maker in any securities mentioned in this report.Woodside Capital Securities, LLC and their officers and employees may from time to time acquire, hold, or sell a position in thesecurities mentioned in this report. Woodside Capital Securities, LLC compensates individuals for activities and services intended to benefit the firm's investor clients. Compensation determinations for individuals, including the author(s) of this report, are based on a variety of factors, and may include the overall profitability of the firm and the revenues derived from all sources, including revenues from investment banking.Woodside Capital Securities, LLC is a registered broker-dealer and member of FINRA (www.finra.org) and SIPC (www.sipc.org).Woodside Capital Securities, LLC is an affiliate of Woodside Capital Partners International, LLC and Woodside Capital Partners UK, LLP.

Third Party DisclosuresAny analyst opinions, ratings, and public company reports included in this report are provided by third-parties unaffiliated with Woodside Capital Securities, LLC, Woodside Capital Partners International, LLC and Woodside Capital Partners UK, LLP. Woodside Capital Securities, LLC, Woodside Capital Partners International, LLC and Woodside Capital Partners UK, LLP makes no guarantees that information supplied is accurate, complete, updated or timely, and does not provide any warranties regarding results obtained from its use.

Disclaimer and Important Disclosures

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