Those who work most closely with victims of violence should have a stake in today's technological advancements.
We can help.
Built to help frontline professionals assess the types of abuse a victim is suffering from
Predicts the likelihood that that abuse will escalate
10x more data than its nearest rival
Ba Linh is a social data scientist eager to combine her knowledge in social sciences from the undergraduate degree and in statistics and economics from her graduate degree to bring about meaningful change. Throughout her studies, she worked for government institutions and NGOs. She leads on managing our product offering.
Beginning his career in Children’s Services in central London, Babatunde has over 15 years of public policy experience. His work to reduce people’s exposure to violence spans multiple continents, leading teams that have made impactful differences on the way frontline staff interact with victims and perpetrators. He leads Frontline’s administrative and communications output.
Adam is a Cambridge graduate with 12 years of experience in data driven technology in both Europe and MENA. His focus areas have been in behavioural marketing (Havas Group, Coty WW), prop-tech (Property Finder Group), media (Simon Sinek) and GovTech in the regulated financial services space.
Joy is a final-year student at Technical University Berlin specialising in Machine Learning. He is excited to use state-of-the-art classification techniques to uncover significant patterns which inform the field of domestic abuse. As our intern, he analyses historical data using past knowledge to feed in to our products.
Sam is a junior data analyst with private and non-profit sector experience. At Frontline he focuses on the differences between risk assessment tools, researching the most effective times and cohorts upon which to deploy them.