The Raleigh-based firm won first place in Technology Enablement at the UBS 2019 Future of Finance Challenge for its platform that can produce accurate synthetic datasets without using any private information.
Released in October, GEMINAI creates a verifiable synthetic “twin” dataset that maintains the same statistical properties of the original data, but doesn’t include any real-world confidential or personal information.
The end result: businesses, like financial institutions, can analyze and share relevant data while safely knowing that should this data be mishandled, lost, or stolen, it contains no real, sensitive information.
It’s exciting to see Diveplane’s GEMINAI technology recognized as a solution for highly regulated financial organizations looking to move data without any privacy concerns, and we look forward to collaborating with UBS and raising awareness of the value of AI in financial institutions,” said Capps, who led Epic Games for almost a decade, in a statement.
Winners of the UBS Future of Finance 2019 Challenges will go on to meet with UBS experts, mentors and partners over the coming months to work together on a global scale.
Founded in 2018, Diveplane develops technology that helps businesses and government organizations understand AI with a trainable, interpretable and auditable.
In October, it also released a new tool called ALLUVION. Created specifically for the commercial real estate industry, its algorithms identify constantly changing trends and analyze variable volatility to accurately project market growth, instead of basing predictions solely off past observations.