Governance, privacy, and compliance are built into the architecture from day one.Your data never trains an underlying model. That's a contractual commitment at Twin1, not a line in a policy document. The rest of it is built the same way. Six layers of governance decide what your Twin can see and share, starting with filters that keep excluded folders and client codes out of the pipeline entirely. Your Twin inherits your access rights, so there's no privilege escalation through the AI layer. Sensitive queries go to you for review before anything is delivered. Each tenant gets dedicated encrypted storage, never co-mingled. You choose the jurisdiction. When you delete something, the Twin deletes it too. SOC 2 Type II and ISO 27001, independently audited. #AIgovernance#

Meet @LHTwin1AI, our Co-founder and CTO. If you have asked Siri a question in the last decade, you have used something he helped build. At @Apple, Huiting helped move Siri’s natural-language understanding from traditional approaches to deep learning, deploying it across languages and markets worldwide. Just as importantly, he learned what it takes to make AI genuinely useful while treating user privacy as a core architectural constraint, not an afterthought. At Moloco, he led a core AI and machine-learning team building real-time targeting systems. Those systems had to make precise decisions in milliseconds, often from limited and imperfect signals, at a scale where small errors carry real commercial consequences. Earlier, Huiting began his career in search at Baidu and became a founding engineer at Zuoyebang, the education platform that spun out of Baidu and later reached a $10 billion valuation. He then became a founding engineer at Eigen, where he helped build the first version of its system for extracting structured knowledge from complex documents. That path leads directly to Twin1. Search and question answering taught him how to find the right knowledge. Information extraction taught him how to recover it from messy, unstructured sources. Recommendation systems taught him how to infer what matters from incomplete signals. Siri taught him how to deliver intelligent, conversational experiences at global scale, with privacy built in. Twin1 brings those disciplines together in a new form: a permission-aware digital AI Twin that learns from a person’s emails, meetings, documents, and workplace tools, builds a model of their knowledge, context, and judgment, and helps make that intelligence available without taking control away from the individual. More than a decade of machine learning in production has taught Huiting that useful AI is not just about model quality. It is about context, precision, trust, and knowing what should not be shared. That is why privacy at Twin1 is part of the architecture, not a promise added afterward. Huiting holds a Master’s in Computational Data Science from Carnegie Mellon University and a BS in Computer Science from Beijing University of Posts and Telecommunications.

Meet Jonathan, our co-founder and CPO. Before Twin1, he worked for some of the world's largest and most regulated organizations where he designed and shipped large-scale AI systems under the same security, governance and operational constraints our customers face today. He also helped build the paranoid version of file sharing. He co-founded Peergos, a peer-to-peer protocol with end-to-end encryption designed to hold up against quantum attack. If you have wondered who here argues hardest about what leaves your machine, it is him. Across his career, he has worked on machine learning systems operating at enormous scale, where reliability, privacy and getting the answer right actually matter. PhD in Mathematics from the University of Melbourne, and a named inventor on several patents. The short version: he has sat where our customers sit, and he builds for the people whose job it is to say no. Everyone say hi to Jonathan!

$20M in seed funding, co-led by @BessemerVP, @tribecavp, and @aramcoventures. Here's where it goes. - Our teams in San Mateo and London. - Getting Twins into more hands. - The governance work that keeps our privacy promises honest. We've been in stealth for over a year with law firms, banks and energy companies. Legal users are reporting that the platform automates 30-50% of the communications work done by knowledge workers. Three of our founders built Eigen before this, where they deployed AI inside regulated industries. They've done it before, which is why Twin1 was built this way from the start. Thanks to everyone who backed us early. Full story: EJF Capital LP Tin Alley Ventures @agihouse_org NEO Investment Partners LLP @FPrimeCapital Btech Consortium Antiportfolio Ventures Lakestar Notion Capital @INSIDERS_VEN @Orrick