|Company size (employees)
|50 to 99
Tessian was founded in 2013 by Thomas Adams, Ed Bishop and Tim Sadler. Tom, Ed and Tim met as engineering students at Imperial College before they started their careers in investment banking for some of the world’s largest financial institutions. Whilst working in finance, they witnessed the severity of sending highly sensitive information to the wrong person on email and saw a gap in the market for a solution. On 18th June, Tessian announced a $13 Million Series A round led by Balderton Capital and existing investors, Accel.
Since our seed round last year, the Tessian team has grown from 13 to 50 people, while annual recurring revenue is up by over 400 per cent in the last 12 months. The company, which counts Clifford Chance, Schroders, Dentons and Clyde & Co among its clients, will use the Series A investment to rapidly expand its product offering and grow its business by increasing the size of its sales and marketing teams.
How we are different
Tessian is a machine intelligent email security platform that automatically prevents security threats like misaddressed emails, unauthorised emails and non-compliance. Tessian uses machine learning to understand normal email communication patterns in order to automatically identify email security threats in real time, without the need for end user behaviour change or pre-defined rules and policies. Tessian makes email safe at some of the world’s largest enterprises across the financial, legal and technology sectors.
Our competitors are legacy email security companies who use rule-based technology to protect email networks. Unlike legacy rule-based technologies, Tessian requires no admin from security teams and no end-user behaviour change. The Tessian platform can be deployed in under an hour and provides immediate historical reports that show how many misaddressed emails an organisation has sent prior to the installation date.
Tessian's use of machine intelligence allows the software to scan the enterprise email network, learn the normal email sending patterns and behaviours of users and then automatically detect and prevent emails that are being sent to potentially the wrong recipient.