Glassbox

Unlock the power of customer truth

Customer Support, Enterprise
Artificial Intelligence Machine Learning

Business Overview

Glassbox empowers organizations to manage and optimize the entire digital lifecycle of their web and mobile Customers. Leveraging unparalleled big data, behavioural analytics, session replay, free-text search and application monitoring capabilities,Glassbox enables enterprises to see not only what online and mobile Customers are doing but also why they are doing it. Most importantly, Glassbox informs and facilitates action based on those insights that can lead to enhanced Customer experience, faster Customer disputes resolution, improved regulatory compliance and agile IT troubleshooting. Our solutions are used by medium to very large enterprises mostly in the telecommunications and financial services and insurance industries and could cater to the needs of a wide range of verticals including healthcare, travel, hospitality and business services.

Operating Status
Active
Founded
June 2010
Employees
150
Business model
B2B
Offering type
Software
Funding stage
Series C
Business stage
Launched
Revenue status
Revenue Generating
Total funding
$72.5 Million
Sectors
Customer Support, Enterprise

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
3.9x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

April 2020
Series C
$40 M
October 2018
Series B
$25 M
November 2015
Series A
$5.5 M

Exit Events and Acquisitions

Date Announced

Transaction

Consideration

Target

Acquirer

October 2020
Acquisition
SessionsCam

AI Technology Stack

AI Description

Using machine learning algorithms, Glassbox isolates issues in real time, supporting agile processes and rapid business decisions through its uncovered insights.

AI application
Vertical AI
AI types
Artificial Intelligence, Machine Learning

FEATURED VIDEO

CONFERENCE PRESENTATION

CONTACT

Petah Tikvah
Israel
Basel 25
R&D
London
United Kingdom
20 Farringdon Street
HQ
New York
United States
333 W 39th Street
Sales and Marketing

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