differential-privacy
(2)
Tonic.ai
Tonic.ai builds synthetic data infrastructure that lets engineering and AI teams work with realistic, privacy-safe stand-ins for production data. Its platform de-identifies, masks, subsets, and synthesizes both structured databases and unstructured text so developers can test software, train models, and feed LLM and RAG pipelines without exposing sensitive information. Founded in 2018 by a team out of Palantir and Tableau, the San Francisco company serves enterprises across finance, healthcare, and technology and has raised roughly $56M in venture funding.
Vaikkunth Mugunthan
Vaikkunth Mugunthan is the co-founder and CEO of Dynamo AI, a San Francisco company that builds privacy, security, and compliance guardrails for enterprise generative AI. An MIT PhD in computer science with a Harvard minor in privacy, fairness, and law, he turned years of federated-learning and differential-privacy research into a venture-backed startup serving Fortune 500 firms in finance, insurance, electronics, and automotive. He was named to Forbes 30 Under 30 Asia 2025, captained MIT's cricket team, plays the violin, and has traveled to 16 countries.