Abstract
ThinkFactory 2025 was a virtual workshop jointly hosted by the Acceleration Consortium and CMAC to facilitate discussion on harmonizing and accelerating self-driving laboratories. The three-hour event brought together more than 50 participants for plenary and breakout discussion across four themed tracks: AI and machine learning, data, orchestration, and robotics. Key priorities highlighted by the community included the need for clearer benchmarks to demonstrate value, improved accessibility for experimentalists without programming expertise, and stronger standards for interoperability, safety, and reproducibility. Participants also emphasised the importance of structured human–AI collaboration and shared infrastructure to promote openness and efficiency. This paper outlines the event structure and design and key discussion insights, providing a reproducible framework for hosting collaborative, cross-institutional virtual workshops.



![Author ORCID: We display the ORCID iD icon alongside authors names on our website to acknowledge that the ORCiD has been authenticated when entered by the user. To view the users ORCiD record click the icon. [opens in a new tab]](https://www.cambridge.org/engage/assets/public/coe/logo/orcid.png)