Emotient
Company

Last deal

$6M

Amount

Series B

Stage

06.03.2014

Date

2

all rounds

$6M

Total amount

date founded

Financing round

General

About Company
Emotient is a leading company that provides facial recognition and expression analysis software.

Industry

Sector :

Subsector :

founded date

01.01.2012

Operating Status

Closed (07.01.2016)

Number of employees

Company Type

For Profit

Last funding type

Series B

IPO status

Private

Description

The company's technology is based on machine learning for facial expression analysis, which is a new category of natural user interface that is rapidly expanding as more companies seek to improve technology responsiveness and increase customer engagement. Their proprietary methodology sets the industry standard for accuracy and real-time delivery of facial expression data and analysis. Emotient's cloud-based services deliver direct measurement of a customer or audience's unfiltered emotional response to ads, content, products, or sales/service interactions. Their flagship service, Emotient Analytics, analyzes videos of customers as they experience marketing, products, and services, providing complete and accurate facial expression detection and frame-by-frame measurement of nine key emotions, as well as attention, engagement, and positive or negative consumer sentiment.
Contacts

Social url

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M&A Details
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Transaction name

Acquired by

Apple

announced date

07.01.2016

Financials

Funding Rounds
2
2

Number of Funding Rounds

$6M

Money Raised

Their latest funding was raised on 06.03.2014. Their latest investor Intel Capital. Their latest round Series B

Date 
Funding Round 
Investors 
Money Raised 
Lead 
06.03.2014
2
$6M
01.01.2012
Co-Investors
Investors
2
0

Number of lead investors

2

Number of investors

Investor 
Lead 
Round 
Partners 
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People

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5

Stanley Kim

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Marian Bartlett
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Marian (Stewart) Bartlett joined Apple as Research Scientist in 2016. Dr. Marian Bartlett is a leader in the field of automatic facial expression analysis. She pioneered machine learning approaches to facial expression recognition from the nascence of the field in the mid-1990s with Paul Ekman and Terrence Sejnowski. She is co-developer of the Computer Expression Recognition Toolbox (CERT), a widely known expression recognition system that was released to the academic community in 2011. Marian received her Ph.D. from University of California, San Diego in Cognitive Science and Psychology, and her B.A. from Middlebury College in Mathematics and Computer Science. She is a Research Professor at the University of California, San Diego (on leave) where she directs the Computational Face Group of the Machine Perception Laboratory. Marian has authored over 70 papers in scientific journals and conference proceedings, as well as a book, Face Image Analysis by Unsupervised Learning, published by Kluwer in 2001.

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Josh Susskind
Josh Susskind

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Javier R. Movellan
Javier R. Movellan

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Javier R. Movellan

Employee Profiles
17

Gwen Littlewort

Data Gardener

Javier R. Movellan

Javier R. Movellan

Founder & Lead Researcher

Vikki Herrera

Vikki Herrera

Vice President, Corporate Marketing

Dan Nguyen

Dan Nguyen

Vice President, Products

Edward Colby

Edward Colby

Senior Vice President, Product and Business Development

Activity

Recent News
2
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