We’ve collected some resources for anyone interested in writing about Fidel.
Fidel is a payments API platform for developers, providing tools to build frictionless, real-time, and personalized products on top of Visa©, Mastercard© and American Express© payment cards.
By using Fidel’s APIs developers can avoid complex integrations with payment service providers and bring their products to market in a faster, more secure, and more scalable fashion. Today, global businesses like Avios, Perkbox, British Airways and Royal Bank of Canada have partnered with Fidel to power a range of innovative experiences. Launched in 2018 by Dev Subrata and Andre Elias, Fidel is headquartered in Soho, London, with offices in Toronto, Lisbon and New York. Fidel is backed by investors including Nyca Partners and QED Investors.
Fidel provides a developer-friendly, secure and reliable API for businesses to connect to payment cards and build innovative mobile and web applications.
- Team size
- Team nationalities
- Team languages
- $22.9 M (2014-2019)
- London, New York & Lisbon
Dev Subrata — CEOView Dev Subrata’s LinkedIn profile
Dev is committed to driving innovation in the fintech space by giving consumers the ability to easily share their financial data with service providers of their choice. An entrepreneur from young age, Dev joined Badoo as an early employee and played a crucial role in growing its revenue from £0 to £220 million in just over 4 years. Originally from Sweden, Dev is a firm believer in openness. He believes the future of data belongs to the data creator, and that by empowering data creators, innovation and commercial cooperation are natural by-products.
Andre Elias — CTOView Andre Elias’s LinkedIn profile
Andre sets the company’s long term technological vision, and drives Fidel’s mission to make consumer financial data accessible to developers. Originally from Portugal, Andre holds a Masters degree in software engineering, and has published several scientific papers on big data architectures. Andre believes that data availability is crucial to power the next generation of machine learning applications.
For media enquiries, please contact firstname.lastname@example.org