Leaders in Telematics


We founded and grew The Floow on the belief the provision of telematics insight to insurers can transform the traditional "transactional model" to a "relationship and service led model."

To achieve this, The Floow has built excellence in data collection, storage, management & enhancement and interpretation.
To deliver its vision The Floow has grown an organisation with world class specialists from all key scientific disciplines. At the heart of our culture is the delivery of the highest quality telematics insight to our insurance clients for the benefit of their customers and shareholders in what we believe is a unique, customer focused manner.

The team of qualified professionals is largely drawn from computer science, analytics and actuarial science.

The origins of The Floow are firmly rooted in scientific academic research, computer science, Big Data and statistical analysis, driver psychology and actuarial science. The University of Sheffield is a significant minority shareholder and a source of human capital.

We have a passion for science, and this is a passion that will remain a fundamental part of our organisation.

With these foundations, we are constantly reviewing progress within the industry, improvements in data collection and the impact this will have on our technology, contextual data that should be taken into account in developing our algorithms and also our research regarding road safety and driving behaviour.

Our role in the wider world

Our corporate vision has the goal of making the world a safer, greener environment. The Floow's technology and solutions generate significant benefits for society at large, such as:

A Fairer premiums for responsible drivers

The Floow's highly granular, large-scale geo-data collection, analysis and integration methodologies enable a step-change in the way motor insurance is priced, giving an appropriate weighting to fundamental risk factors such as driver behaviour, speed in context of location and circumstances. This enables reducing premiums for responsible drivers who are willing to be monitored. This in turn can potentially reduce the number of uninsured drivers (in the UK 1 car in 20 is either uninsured or not adequately insured [Motor Insurance Bureau]). The demographic of this social problem is primarily young drivers who struggle to afford insurance premiums.

B Influencing risky behaviour through tailored feedback and education

Telematic services provide specific safety and insurance improvements: the Co-operative Insurance in the UK looked at 10,000 telematics insurance customers, aged between 17 and 25, discovering that:

  1. This group were 20% less likely to be involved in a crash than those with a standard policy
  2. Drivers who opt to take out a telematics based car insurance policy have less serious accidents, as insurance claims from customers with a box fitted are typically 30% less than those without

The Floow monitor and quantify risky driving behaviour and use this data to power tailored educational services that provide means for a driver to monitor and improve their personal driving performance. This helps private and corporate drivers and their employers, who are bound to compliance with duty of care and corporate manslaughter legislation.

C Mitigating consequences of crashes

Car crashes are a major cause of deaths [World Health Organisation]. In terms of safety, accident physiologists indicate that timely intervention after a crash is critical to increase chances of survival and recovery. The Floow contributes an integrated service for automatic and/or voluntary crash notifications to selected emergency providers and, when possible, provide real-time information of an unfolding rescue process.

D Better understanding of accident causation, hence better prevention

The Floow's ability to collate data on a wide range of factors (including speed in relation to type of road, time of day, congestion, weather, acceleration and deceleration etc.) and apply regression against actual claims allows for a richer understanding of accident causation, which can be used to further prevention. On a more general basis, the data collected by the systems are used to identify locations with abnormal and recurring behavioural patterns, identifying possible inadequacy of road infrastructure.

Admin Team

Michelle Futter HR Leader

Letisha Whyte Office Administrator

Jill Colley Accounts Assistant

Amanda Ridgway Customer Support

Android Team

Wale Awelenje Android Team Lead

Zac Mathews Android Developer

Alex Brown Android Developer

Rui Vieira Android Developer

Dr John Martindale Android Developer

Design Team

David Trindade Design Team Lead

Olivia Todd Graphic Designer

Mehul Patel Graphic Designer

Development and Operations Team

Daniel Simpson Project Manager

Beckie Gates Project Manager

Dr Ben Carpenter Solutions Architect

Robbie May Business Analyst

Bartosz Debski Ops Team Lead

James Stocker System Administrator

Jonathan Homer System Administrator

Oliver Bowman Apprentice System Administrator

Driver Development & Improvement

Rebecca Edgcumbe Driver Improvement Team Lead

Chika Agabu Driving Improvement Coach

Chris Galvin Driving Improvement Coach

iOS Team

Kevin Dudley iOS Team Lead

Alex Cornforth iOS Developer

Daniel Bradley iOS Developer

William Robinson iOS Developer

James Newbould iOS Developer

Matthew Ryan iOS Developer

Sam Rayner iOS Developer

Platform Team

James Ridgway Platform Team Lead

Carl Ibbotson Senior Platform Engineer

Andrew Lee Senior Platform Engineer

Matthew Crowson Senior Platform Engineer

Luke Willis Platform Engineer

Jonathan Brighton Platform Engineer

Carmelo Miraglia Platform Engineer

Matthew Sibson Platform Engineer

Stuart Murray Platform Engineer

QA Team

Mark Goodinson Senior Quality Assurance Engineer

Nick Houfe Senior Quality Assurance Engineer

William Pearson Senior Quality Assurance Engineer

Devi Gopal Senior Quality Assurance Engineer

Michael Nares QA Engineer

Rick Fletcher QA Engineer

James Elliott QA Engineer

Sheetal Lendhay QA Engineer

Science Team

Jonathan Smith Head of Data Science

Dr Sue Liu Data Scientist

Dr Clare Matthews Data Scientist

Dr Simon Jones Data Scientist

David Steele Data Scientist

Sam Bennett Data Scientist

Prof Fabio Ciravegna Scientific Adviser and Co-Founder

Dr Lisa Dorn Scientific Adviser

Web Team

Douglas Mills Web Team Lead

Damon Foster Senior Web Developer

Adam Sharp Web Developer

Arran Scott Web Developer

Cameron Drysdale Web Developer