Mark Suman, co-founder and CEO of Maple AI, joined BMTV to discuss private AI designed so that even Maple’s own team cannot read users’ chats. As AI becomes embedded in more areas of daily life—including financial transactions and agents that pay one another—Suman argues that sensitive conversations should not be exposed to a company whose source code users cannot inspect.
Maple AI was built from the ground up with open-source code and encryption. Suman compares the approach to Bitcoin: rather than asking users to trust the company, Maple wants them to be able to verify it. He emphasizes that users’ data, thoughts, and other valuable information remain encrypted throughout the entire pipeline, and that using the best open-weight models does not require sacrificing security.