tomtA.ai
Steven Atneosen has a diverse work experience spanning over a decade. Steven is currently the CEO and Co-founder of tomtA, where they focus on creating ML solutions for organizational missions by allowing the safe sharing and use of anonymized real data.
Before tomtA, Steven founded Grand Chasm Ventures in 2018 and served as the Managing Director. Steven also worked as an Advisor for ElectricFish and NIO, where they held the role of Advisor to XPT before becoming the Vice President of Corporate Development for the same division. At NIO, they played a key role in attracting funding, building product roadmaps, and securing acquisitions for electric, connected, and autonomous vehicles.
Steven has also been an Investor and Advisor for Deepen AI, an Advisor and interim COO for Wireline.io, and the SVP of Corporate Development, General Counsel, and Chief Privacy Officer for StayWell Health Management.
Furthermore, they co-founded and served as the CEO of DebateHall.com and worked as the Vice President of Operations for RxVantage. Steven was responsible for developing growth strategies and improving product adoption in these roles.
Early in their career, Steven worked as a Business & Legal Affairs Consultant for Axiom.
Steven Atneosen has a Bachelor of Science (BS) degree in Accounting and Finance from Drake University. Additionally, they hold a Doctor of Law (JD) degree from Mitchell Hamline School of Law, with a focus on Entrepreneurship/Entrepreneurial Studies, Business, Litigation, and Appellate. Steven is also certified as an Attorney by the Minnesota State Bar Association.
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tomtA.ai
tomtA™ True Atomic Privacy safely transforms sensitive data at an atomic level into Data as a Safe Asset (“DaaSA”) for data governance, analytics and MLOps teams to build products no longer subject to GDPR, PIPA, CCPA, HIPAA, NIST et al. tomtA™ True Atomic Privacy is next generation privacy enabled technology that uses generative AI to deploylocally run “filters” to anonymize sensitive data in-transit between environments to ensure safe use. This relationship between real data and the anonymized data in a safe and usable format, or what we call “atomicity”, is not possible with current anonymization or de-identification solutions that rely upon synthetic data, classical differential privacy or homomorphic encryption.