Welcome to the Tearsheet Podcast. I’m Zack Miller.

Banks talk about deriving insights from their customer data. They want to provide actionable automated advice to their clients but they struggle just wrangling the data together.

Flybits wants to help banks by taking their proprietary customer data — like the activities a customer has done in her account — and adding in machine learning and external contextual data — like her risk profile or her consumption preferences. The goal is to deliver relevant and timely recommendations to FI cusotmers.

The technology and vision behind Flybits was born in a university lab. Founder and CEO Hossein Rahnama’s PhD was about understanding context in large data sets. He spun out his tech to launch the company. He’s also a professor of computer science at Toronto’s Ryerson University and a visiting prof at MIT’s Media Lab in Cambridge.

Hossein Rahnama is my guest today on the Tearsheet Podcast.

We’d like to thank our sponsor MX for supporting Tearsheet’s work. MX is the leading data platform for banks, credit unions and fintechs, enabling its clients and partners to easily collect, enhance, analyze, present and act on financial data.