£77-90k
+ Share scheme
Real-time intelligence for countering a wide range of threats
Open for applications
Real-time intelligence for countering a wide range of threats
101-200 employees
Open for applications
£77-90k
+ Share scheme
101-200 employees
To help governments and organisations automate the detection, investigation and monitoring of threats from criminal activity.
Desirable
Ripjar provides a data intelligence platform, Labyrinth, that uses Artificial Intelligence to protect organisations against financial crime threats like money laundering, fraud, and funding terrorism. Labyrinth enables human analysts to make better-informed decisions with speed and accuracy, saving their clients’ costs and time.
Previous investments signify confidence in Ripjar's data intelligence technology and its ability to protect companies and governments from criminal activities that jeopardise their assets and prosperity. And it's no surprise, as Ripjar claims Labyrinth is the most sophisticated and advanced cyber-security solution on the market.
As economic uncertainty rises globally, so does the incidence of financial crime, particularly with the increasing shift to online transactions. Both tech companies and the UK government are turning to Ripjar to address these challenges. With a global client base exceeding 20,0000 and recent innovations, the company is well set to see further growth.
Freddie
Company Specialist at Welcome to the Jungle
Sep 2020
$35.8m
SERIES B
Mar 2017
$4.5m
EARLY VC
Cheltenham, UK
Jeremy Annis
(Co-Founder & CEO)Served as the company's CTO until 2021, and has been CEO since November 2018. Jeremy is a former Intelligence Professional and Data Scientist with the British government’s signals intelligence agency, GCHQ
Tom Griffin
(Co-Founder & COO)Served as the company's CEO until Jan 2019. Tom has a PhD in Engineering Mathematics, and prior to Ripjar was the Technical Director of GCHQ’s Engineering Department responsible for creating and sustaining the solutions that protect the UK from threats including terrorism, cyber and serious organised crime
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