Ted N Myerson

New York, NY, United States of America

Ted N Myerson

Graduated from:
  • University of Miami Herbert Business School (USA)
Average Co-Inventor Count = 3.9

ph-index = 11

Forward Citations = 607(Granted Patents)

Forward Citations (Not Self Cited) = 481(Sep 21, 2024)

Location History:

  • Boynton Beach, FL (US) (2010 - 2023)
  • New York, NY (US) (2015 - 2023)


Years Active: 2010-2025

where 'Filed Patents' based on already Granted Patents

18 patents (USPTO):
5 patents (CIPO):

Ted Nathan Myerson: Architect of Datas Future


Ted Nathan Myerson is not your average inventor; he is the kind of quiet architect who does not just anticipate the future; he builds it.

At the helm of Anonos, a company he co-founded and leads as CEO, Ted is tackling one of the most formidable puzzles of our age: how to use sensitive data in AI without compromising privacy or utility. His teams solution, a breakthrough platform built on Utility-Preserving Inference Protection, embeds policy-enforced controls directly into data. Enterprises can confidently plug data into LLMs, RAG systems, and agentic AI models, without sleepless nights over breaches or bias.

With 10 USPTO granted patents anchoring Anonos technology, Ted has not merely joined the conversation around secure AI; he is helping write the dictionary.

However, Teds foresight did not begin with AI. On September 10, 2001, he launched FTEN, a startup aimed at real-time data fusion for systemic risk in capital markets. In a world still running on post-trade analysis, FTEN introduced the radical concept of Naked Access, enabling pre-trade risk management and helping catalyze the regulations we now take for granted. The company did not just scale; it soared. NASDAQ took notice and acquired FTEN in a nine-figure deal. Today, its tech still pulses through over a hundred global exchanges.

With 17 U.S. patents to his name and many more in the pipeline, Ted is a relentless innovator whose work has caught the attention of Fortune, Bloomberg, and TED audiences alike. His talk, Big Data Needs Big Privacy, echoes his ethos: progress does not have to come at the cost of principle.

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