CheckRecipient

regtechauthentication and fraud preventioncompliance

FOUNDING YEAR: 2013
LOCATION: United Kingdom
Last Update: 01/05/2020

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About

Tessian is an AI startup that focuses on tackling the problems of misaddressed emails. With the help of machine learning, the email security platform makes sure that sensitive or confidential data cannot be sent to the wrong individual. The platform scans historical email data in order to understand conventional usage patterns and behaviors in companies’ email systems. It spots anomalies and helps the user to rectify the problem before sending the email. Unlike conventional rule-based systems or encryption platform, it doesn’t require any administration or end-user behavior changes.

Focus

PRODUCTS & SERVICES

Tessian’s platform leverages artificial intelligence to prevent the threat of misaddressed emails. It further scans all the outgoing emails to identify unauthorized email recipients and prevent the leakage of sensitive information that will restrict the flow of information only to relevant teams. It also enables the users to implement ethical walls and project boundaries between groups of email users. Additionally, the platform enables organizations to implement custom email filters that can demonstrate diligence to clients and protect their data.

MAIN CLIENTS

Morrisons Solicitors

Foot Anstey

DC Advisory

Vernalis

Premier

Com Laude

Man Group

Travers Smith

Penningtons Manches

Grosvenorlaw

Momentum

FUNDED

YES

TOTAL FUNDING

$3.65 M

DATE OF LAST FUNDING

Apr 2017

SEED & PRIOR FUNDING

$946.25 K

SEED CLOSED ON

Jul 2016

FUNDING SERIES

SERIES A  · $2.7 M  · Apr 2017

LISTED

NO

BASICS

FOUNDING YEAR:

2013

LOCATION:

United Kingdom

Views:

369 VISITORS | 703 VIEWS
LATEST FUNDING ROUND

$3.65 M

About

Tessian is an AI startup that focuses on tackling the problems of misaddressed emails. With the help of machine learning, the email security platform makes sure that sensitive or confidential data cannot be sent to the wrong individual. The platform scans historical email data in order to understand conventional usage patterns and behaviors in companies’ email systems. It spots anomalies and helps the user to rectify the problem before sending the email. Unlike conventional rule-based systems or encryption platform, it doesn’t require any administration or end-user behavior changes.

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