Twin1 AI has successfully raised $20 million in a seed funding round while simultaneously moving its product out of stealth development. The company creates artificial intelligence-based digital twins designed for knowledge workers.
The funding round was co-led by venture capital firms Bessemer Venture Partners, Tribeca Venture Partners, and Aramco Ventures. The company plans to expand its teams in San Mateo and London, as well as invest in technology development and marketing activities. The Twin1 platform is designed to preserve professional knowledge, judgment, and work context.
The company's goal is to help organizations scale this expertise through artificial intelligence. Twin1's approach prioritizes privacy and human oversight when implementing enterprise AI. This provides the company with capital for developing commercial operations and technologies.
Twin1 provides every specialist with an AI-managed digital twin that evolves alongside their work. These twins have access to authorized emails, meetings, documents, and work systems. Using this context, they can respond to queries and assist in completing business tasks.
The company claims that its system can enhance existing AI agents through deeper professional context, leading to more personalized enterprise AI implementation. Twin1 has developed six levels of privacy and governance control. These mechanisms regulate interactions between humans, digital twins, and AI systems, integrating corporate policies, existing permissions, and human approval requirements, which prevents unauthorized access to confidential knowledge.
Furthermore, Twin1 manages a network that connects individual digital twins across different organizations. This allows for the identification of relevant expertise and coordination of work by gathering information while respecting permissions, yet maintaining human control. This forms a level of coordination between humans and enterprise AI agents. The company also offers a model context protocol server for enterprises, which grants approved AI agents and corporate tools access to controlled context.
The system can also initiate actions based on information contained within individual twins. Twin1 calls this approach the foundation for sovereign enterprise AI. The platform has already been implemented by partners in various industries, including legal, financial, and energy companies. Clients mentioned include Linklaters, Orrick, Dechert, Customers Bank, and Aegis Energy; the company reports that some clients have automated between 30% and 50% of communication work.
Twin1 was founded in 2025 by individuals such as Lewis Liu, Tom Cahn, Huiting Liu, and Jonathan Budd. The founders previously worked on enterprise AI through Eigen Technologies. Several investors from Eigen also participated in the new funding round. This support reflects continued confidence in the team's experience in enterprise technologies. CEO Lewis Liu emphasized that human expertise remains central to knowledge-based organizations, stating that AI should augment individual knowledge, not generate generic outputs.
Twin1 aims to preserve professional judgment while increasing the reach of each employee, believing this will help expertise accumulate across different organizations. Bessemer Venture Partners noted that corporate knowledge remains fragmented across organizations and believes Twin1 can provide a contextual layer between teams and systems. Tribeca Venture Partners described the platform as a coordination layer for enterprise AI, while Aramco Ventures highlighted the team's experience working with regulated corporate environments. The next phase of work will focus on increasing adoption in knowledge-intensive industries. The company positions individual digital twins as a new interface for enterprise AI, and its success will depend on the balance between automation, privacy, governance, and human agency.