Twin1 Raises $20 Million for Employee Digital Twins
Twin1 has emerged from stealth with a $20 million seed round to build digital twins for lawyers and other office workers, Artificial Lawyer reports. The round was led by Bessemer Venture Partners, Tribeca Venture Partners, and Aramco Ventures, with participation from EJF Ventures, F Prime, Lakestar, Notion Capital, Orrick, and angel investors.
The San Mateo and London startup creates an AI twin of individual employees using work context from emails, meetings, documents, and workplace systems. The product works with tools such as Slack, Microsoft Teams, Outlook, Gmail, Google Drive, and SharePoint.
Twin1 says the AI twins can answer questions, draft messages in a user's style, and act on a user's behalf within approved limits. Users can review, edit, or reject messages before they are shared.
The company was founded by Lewis Liu, Tom Cahn, Huiting Liu, and Jonathan Budd. Customers include Linklaters, Orrick, Dechert, Customers Bank, and Aegis Energy. Twin1 plans to use the funding to expand its teams in London and California, develop the product, and increase sales.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Enterprise
More from: Funding
Subscribe to Enterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Market report
2025 Generative AI in Professional Services Report
This report by Thomson Reuters explores the integration and impact of generative AI technologies, such as ChatGPT and Microsoft Copilot, within the professional services sector. It highlights the growing adoption of GenAI tools across industries like legal, tax, accounting, and government, and discusses the challenges and opportunities these technologies present. The report also examines professionals' perceptions of GenAI and the need for strategic integration to maximize its value.
Read more