Welcome to the Fidel press resources page. Our latest brand assets, including Fidel logos, product images, key stats, executive team bios and more are available below.
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Fidel offers the only suite of financial infrastructure APIs that allow developers to build programmable experiences around the moment when a payments card is swiped, dipped, tapped, or typed.
Our tools are transforming how merchants and users interact by powering real-time, event-driven engagements, best-in-class loyalty and rewards programs and revolutionizing processes from reimbursements to expense management. Our APIs are used by start-ups through global enterprises including Google, British Airways, TopCashback, Perkbox, Royal Bank of Canada, and Blackhawk Networks, and are supported by the world’s largest card networks, including Visa©, Mastercard© and American Express©.
Launched in 2018, Fidel is headquartered in London, with offices in Lisbon, New York, and remote employees globally. Fidel is backed by investors including Nyca Partners, QED Investors, Citi Ventures, RBC Capital and Commerce Ventures.
- Team size
- Team nationalities
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- $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.
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