About Twin1 AI
We are solving the siloed knowledge problem for businesses by building the coordination and trust layer.
The most valuable knowledge in professional organizations is massively distributed and trapped in email inboxes, call transcripts, and individuals' heads rather than centralized systems.
Meet our founders

Dr. Lewis Z. Liu is a repeat founder who previously founded and sold Eigen Technologies, a pioneering AI company that digitized financial and legal documents. Eigen processed over $100 trillion worth of financial contracts for half of the world's largest banks and was the first AI system to receive regulatory approval from the Federal Reserve and FDIC to process contracts without human intervention. At Eigen, he also pioneered small-data AI and deployed one of the world's first production RAG systems in 2020. Lewis began his career at McKinsey & Company. He holds a PhD in Physics from Oxford, where he invented a new class of X-ray lasers; a Master's in Physics from Harvard; and Harvard's first joint Bachelor's degree in Fine Arts and Physics. Lewis is one of the world's preeminent experts in AI governance and continues today to advise governments, central banks, and corporate boards on the safe deployment of AI.
Lewis Z. Liu
Dr. Lewis Z. Liu is a repeat founder who previously founded and sold Eigen Technologies, a pioneering AI company that digitized financial and legal documents. Eigen processed over $100 trillion worth of financial contracts for half of the world's largest banks and was the first AI system to receive regulatory approval from the Federal Reserve and FDIC to process contracts without human intervention. At Eigen, he also pioneered small-data AI and deployed one of the world's first production RAG systems in 2020. Lewis began his career at McKinsey & Company. He holds a PhD in Physics from Oxford, where he invented a new class of X-ray lasers; a Master's in Physics from Harvard; and Harvard's first joint Bachelor's degree in Fine Arts and Physics. Lewis is one of the world's preeminent experts in AI governance and continues today to advise governments, central banks, and corporate boards on the safe deployment of AI.

Huiting Liu is a machine learning engineer who has built production ML systems at global scale for over a decade. Most recently he led the core AI/ML team at Moloco, where his team built the real-time ad targeting models behind the company's monetization. Before that, as a Senior ML Engineer at Apple, he was central to transitioning Siri's natural language understanding from statistical models to deep learning across 35+ countries and 22 languages. Huiting was also a founding engineer at Eigen Technologies, where he built out the core text extraction ML system. Prior to Eigen, Huiting was a founding Engineer at Baidu's Zuoyebang, which spun out to reach a $10bn valuation. He holds a Master's in Computational Data Science from Carnegie Mellon and a BS in Computer Science from Beijing University of Posts and Telecommunications.
Huiting Liu
Huiting Liu is a machine learning engineer who has built production ML systems at global scale for over a decade. Most recently he led the core AI/ML team at Moloco, where his team built the real-time ad targeting models behind the company's monetization. Before that, as a Senior ML Engineer at Apple, he was central to transitioning Siri's natural language understanding from statistical models to deep learning across 35+ countries and 22 languages. Huiting was also a founding engineer at Eigen Technologies, where he built out the core text extraction ML system. Prior to Eigen, Huiting was a founding Engineer at Baidu's Zuoyebang, which spun out to reach a $10bn valuation. He holds a Master's in Computational Data Science from Carnegie Mellon and a BS in Computer Science from Beijing University of Posts and Telecommunications.

Dr. Jonathan Budd is an enterprise AI and Web3 technical leader who spent his career deploying production-grade machine learning inside major financial institutions. Most recently he was a senior leader in JPMorgan's Global Technology CTO/CDAO Office, where he designed and shipped RAG and multi-agent LLM systems, having previously led data science for Athena Core, the bank's trading infrastructure platform, where he built a predictive model for code change failures. He was also co-founder and CPO of Peergos, a quantum-resistant, end-to-end encrypted peer-to-peer file-sharing protocol. Earlier, Jonathan led entity resolution at petabyte scale for Salesforce's Marketing Cloud Einstein. He holds a PhD in Mathematics from the University of Melbourne and is a named inventor on multiple patents.
Jonathan Budd
Dr. Jonathan Budd is an enterprise AI and Web3 technical leader who spent his career deploying production-grade machine learning inside major financial institutions. Most recently he was a senior leader in JPMorgan's Global Technology CTO/CDAO Office, where he designed and shipped RAG and multi-agent LLM systems, having previously led data science for Athena Core, the bank's trading infrastructure platform, where he built a predictive model for code change failures. He was also co-founder and CPO of Peergos, a quantum-resistant, end-to-end encrypted peer-to-peer file-sharing protocol. Earlier, Jonathan led entity resolution at petabyte scale for Salesforce's Marketing Cloud Einstein. He holds a PhD in Mathematics from the University of Melbourne and is a named inventor on multiple patents.

Tom Cahn is a repeat AI company builder who was co-founder and GTM architect at Eigen Technologies, where he took the company from inception to $20M+ ARR at 130%+ net retention. He co-led the pitch that won Goldman Sachs as Eigen's first major client and went on to secure over half of the world's G-SIB banks, along with its first insurance customers. Tom also built Eigen's brand from scratch, driving the media and thought leadership effort behind 350+ press features and its World Economic Forum Technology Pioneer recognition, and led the internal process for Eigen's acquisition by Sirion Labs (backed by Brookfield). Most recently he was VP Marketing at Arteria AI, joining as its first marketing hire to lead global growth after the company's Series B. He holds an MSc from London Business School and a First-Class MA from the University of St Andrews.
Tom Cahn
Tom Cahn is a repeat AI company builder who was co-founder and GTM architect at Eigen Technologies, where he took the company from inception to $20M+ ARR at 130%+ net retention. He co-led the pitch that won Goldman Sachs as Eigen's first major client and went on to secure over half of the world's G-SIB banks, along with its first insurance customers. Tom also built Eigen's brand from scratch, driving the media and thought leadership effort behind 350+ press features and its World Economic Forum Technology Pioneer recognition, and led the internal process for Eigen's acquisition by Sirion Labs (backed by Brookfield). Most recently he was VP Marketing at Arteria AI, joining as its first marketing hire to lead global growth after the company's Series B. He holds an MSc from London Business School and a First-Class MA from the University of St Andrews.
Lewis Z. Liu
Dr. Lewis Z. Liu is a repeat founder who previously founded and sold Eigen Technologies, a pioneering AI company that digitized financial and legal documents. Eigen processed over $100 trillion worth of financial contracts for half of the world's largest banks and was the first AI system to receive regulatory approval from the Federal Reserve and FDIC to process contracts without human intervention. At Eigen, he also pioneered small-data AI and deployed one of the world's first production RAG systems in 2020. Lewis began his career at McKinsey & Company. He holds a PhD in Physics from Oxford, where he invented a new class of X-ray lasers; a Master's in Physics from Harvard; and Harvard's first joint Bachelor's degree in Fine Arts and Physics. Lewis is one of the world's preeminent experts in AI governance and continues today to advise governments, central banks, and corporate boards on the safe deployment of AI.
Our mission and values
Twin1 is building the privacy-first coordination layer for businesses, transforming fragmented knowledge into a governed, queryable intelligence network
A secure AI version of you that understands your context, scales your knowledge, and personalizes AI output.
What we build
Twin1 creates personalized digital AI twins for professionals. A secure AI version of you to amplify your expertise and securely tap into the collective knowledge of your organization.
Who we serve
Law firms, financial services firms, regulated enterprises, and AI native teams
Our values
AI should not be done to humans, it should work for humans
Organizations should have control over their AI destiny and their data
AI should not flatten knowledge, it should amplify individual human expertise
AI needs to preserve individual privacy and dignity
Raised over $20 million to bring digital Twins to professional businesses













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