This article covers Twin1 AI, an enterprise AI startup, which has launched from stealth and raised £15m in a growth funding round. The funds will expand teams and accelerate development and go-to-market of its permissioned "digital twin" platform for professionals in large, regulated organisations, including law firms, financial services and energy.
Twin1 AI has raised £15 million in a growth funding round and launched from stealth. The San Mateo- and London-based enterprise AI startup says the capital will expand teams, accelerate go-to-market efforts and further develop its platform that creates a permissioned “digital twin” for every professional to preserve context and coordinate work across large organisations.
Enterprises are grappling with fragmented knowledge across email, documents and collaboration tools, while deployments of generative AI risk flattening individual expertise into generic outputs. Twin1 aims to keep humans as the unit of organisational knowledge by linking person-specific models to existing workflows and governance, which could change how companies scale AI without losing control of sensitive information.
Customers report deployment-level benefits: the company says its platform has been used in legal, financial services and energy settings for more than a year, with reported automation of 30–50% of communications work performed by knowledge workers. That kind of efficiency claim, if reproducible, matters in regulated industries where compliance and auditability are as important as productivity gains.
Twin1 constructs a continuously evolving model for each user, trained on their emails, meetings, documents and workplace systems. These digital twins surface context and judgement to AI agents and co-workers without exposing data beyond authorised channels.
Key product features:
Real-world deployments cited include major law firms and regulated institutions, which suggests Twin1 is targeting high-compliance environments where provenance and permissions are decisive buying criteria.
Twin1’s £15 million round was co-led by Bessemer Venture Partners, Tribeca Venture Partners and Aramco Ventures. The round also included participation from investors who previously backed Eigen Technologies, the founders’ earlier venture.
Funding will be used to grow engineering and commercial teams in San Mateo, California, and London, UK, and to continue product development and go-to-market expansion.
In the announcement, Elliott Robinson, Partner at Bessemer Venture Partners, said:
Enterprise knowledge has become increasingly fragmented, creating real friction in how organizations access and use expertise. Twin1 AI is building an individual-first context layer that allows users to extend their knowledge across teams and systems. We believe this represents an important shift in how AI can be applied to knowledge work while preserving control and ownership.
In the announcement, Brian Hirsch, Co-founder & Partner at Tribeca Venture Partners, said:
Twin1 is the purest expression of the coordination layer we believe will define the next generation of enterprise AI. It transforms fragmented human knowledge into trusted organizational intelligence, allowing people and AI agents to coordinate securely and make better decisions together.
In the announcement, Daniel Carter, Managing Director at Aramco Ventures US, said:
Serving the world's largest and most highly regulated enterprises requires far more than checking the standard security and compliance boxes. The Twin1 team of repeat founders combines a deep understanding of how these organizations operate and their AI governance needs with the experience required to make AI work in the enterprise.
If you're researching potential backers in this space:
Twin1 was founded in 2025 by Lewis Z. Liu, Tom Cahn, Huiting Liu and Jonathan Budd. The team says the product reflects lessons from their prior work and aims to prevent individual expertise from being diluted as organisations adopt AI.
In the announcement, Lewis Liu, Co-founder & CEO at Twin1 AI, said:
In every knowledge organization, the human is the atomic unit of knowledge. The opportunity with AI is not to flatten people's expertise into generic output, but to connect and amplify their unique knowledge, judgment and context. Our belief is that AI should work for people, not be done to them. Twin1 gives every professional a digital twin that preserves and amplifies their knowledge, judgment and voice, while keeping privacy, permissions, and human agency at the core. We are building a future where expertise compounds, rather than collapses into the average.
The company lists customers including law firms Linklaters, Orrick and Dechert — global firms that handle sensitive, document-heavy work — as well as Customers Bank, a US commercial bank, and Aegis Energy, an energy company. These references indicate Twin1 is focused on sectors where governance, audit trails and strict access controls are central to procurement decisions.
Twin1 joins a growing set of vendors positioning themselves as coordination or context layers for enterprise AI, addressing concerns about data privacy, model reliance and organisational control. Its cross-border footprint and a round led by both US venture firms and a corporate investor reflect continued transatlantic capital flows into enterprise AI infrastructure.
The deal also signals investor appetite for products that combine machine intelligence with explicit governance, especially for regulated industries where UK and European firms face strict data-protection and compliance regimes.
This raise underscores how UK and European enterprises are engaging with AI infrastructure startups that promise to balance productivity gains with control and accountability as adoption widens across sectors.
| Investors | Investment Focus | Startup Investments | Round Size | Connect |
|---|---|---|---|---|
![]() Bessemer Venture Partners( ) San Francisco, US | ||||
![]() Tribeca Venture Partners( ) | ||||
![]() Aramco Ventures( ) Dhahran, Saudi Arabia | ||||
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