Hyperplane, a San Francisco-based startup that is developing foundation models to assist banks in predicting customer behavior, has announced a $6 million funding round led by former Stripe executive Lachy Groom, with participation from SV Angel, Clocktower Technology Ventures, Liquid2 Ventures, Soma Capital, Latitud, Atman Capital, Crestone VC, and Norte. The overall goal is to assist banks in using their first-party data to create personalized experiences by predicting user behavior.
The company already works with a dozen banks in Brazil and is now looking to expand to the United States. While Hyperplane is currently only focused on the banking industry, the team hopes to expand its technology into other industries in the future.
Felipe Lamounier, Daniel Silva, Rohan Ramanath, and Felipe Meneses co-founded Hyperplane. Lamounier (CEO) spent the last seven years building StartSe, a Brazilian EdTech startup, while Daniel Silva and Rohan Ramanath previously worked at Google and LinkedIn building large-scale AI systems.
“The core hypothesis we started with was: what does it take to build a personalization layer for banks across the world,” Ramanath explained. “If you think of the big technology companies, they have a lot of first-party data, but they also have a lot of investments in data infrastructure and enterprise data warehouses to use all of this data to understand the consumer, to build personalization into every single product page, and finally build this into the consumer experience itself. The goal for hyperplane is, if banks across the world have a lot of first-party data, what does it take to build a data intelligence layer so that banks can plug in their first-party data?”
Felipe Lamounier, Daniel Silva, Rohan Ramanath, and Felipe Meneses co-founded Hyperplane. Lamounier (CEO) spent the last seven years building StartSe, a Brazilian EdTech startup, while Daniel Silva and Rohan Ramanath previously worked at Google and LinkedIn building large-scale AI systems.
Currently, the company provides two modules: one for creating audience segments and another for creating lookalike audiences in order to broaden potential target audiences by locating similar users.”We found that by building tasks-specific models, we can get a lot more mileage out of building something custom and from the ground up,” Ramanath said in a statement.
Recently, Hyperplane launched Mandelbrot LLM, a model that specifically assists banks in predicting when a customer may churn or which users treat a given bank as their primary bank.
According to Hyperplane, using its services enabled the credit limit division of a Brazilian neobank to increase transaction volume by 46%, for example, by providing a clearer picture of its customers’ estimated income.
“Brazil has been through an important pro-competition movement in the last decade, and today we see an ecosystem that is eager to adopt new technologies,” Lamounier noted. “The Hyperplane Cloud can scale across markets with little effort, and we”ll soon announce our first partnerships in the U.S.”
