Paris-based Twin Labs, creators of an innovative automation tool designed to streamline repetitive tasks, have successfully raised $3 million in a pre-seed funding round. The funding comes from a diverse group of backers, including prominent names like Motier Ventures, Betaworks, Factorial, and a host of individual investors such as Clement Delangue, Thomas Wolf, and Romain Huet.

Other contributors to Twin Labs’ pre-seed funding include notable figures like Irwan Bello, Mehdi Ghissassi, Romuald Elie, and several industry experts such as Leonard Hussenot, Matthias Gallé, and Rodolphe Saadé. The extensive list also includes tech leaders like Olivier Pomel, Charles Gorintin, and Philippe Corrot, reflecting strong support for Twin Labs’ vision and potential.

Founded in 2023 by Hugo Mercier and Joao Justi, Twin Labs focuses on enhancing productivity through a platform that empowers small and medium-sized business (SMB) teams to automate intricate and repetitive tasks across various applications. The company’s proprietary technology combines a headless browser with vision models trained to autonomously control different software and websites. This results in a unique text-to-action system that allows users to efficiently delegate time-consuming and repetitive tasks.

Twin Labs envisions a world where individuals can focus on creativity, decision-making, and communication, leaving mundane tasks to their AI sidekick. The company’s mission is clear: to build an AI that acts as a reliable assistant, ensuring that users never have to perform the same task twice.

The company is set to utilize the recently acquired funds to fuel its expansion and further enhance its development efforts. With a focus on creating a dependable AI capable of shadowing human actions on computers and autonomously completing tasks, Twin Labs aims to redefine how individuals interact with technology.

Twin Labs has laid out its plan for the future, with the upcoming launch of its B2B partner program in Q1. The company acknowledges a key challenge in the current state of AI, emphasizing the need for steerability. To address this, Twin Labs is onboarding a select group of partners to co-design custom task libraries, aligning with their internal processes and work methods. This strategic approach ensures that Twin seamlessly integrates into partner organizations, marking a crucial step toward widespread adoption.

The company’s roadmap includes releasing the first version of Twin based on a library of pre-trained tasks targeting the 20% of tasks consuming 80% of the time. Moreover, Twin Labs plans to empower users to define their specific tasks seamlessly using natural language, addressing the long tail of tasks. Leveraging data from completed tasks, the company aims to enable users to delegate increasingly complex work, tapping into the operational knowledge of other workers’ Twins.

In summary, Twin Labs’ successful pre-seed funding round positions the company for significant growth as it continues to advance its mission of liberating human brainpower from mundane tasks through cutting-edge automation technology.