Key Notes
- Enact Intelligence raised $30 million in a pre-seed round co-led by Notion Capital and redalpine, with firstminute capital and prominent AI founders also backing the company.
- The Zurich startup is developing proprietary actuators and AI models that combine force and touch information with vision and language for more adaptable manipulation.
- Funding will support hiring, hardware development and research, while planned industrial deployments remain distinct from verified production results.
Zurich-based Enact Intelligence has raised $30 million in pre-seed funding to develop robots that use force and touch information alongside vision and language. The company emerged from stealth in October, targeting the dexterity problems that make physical work difficult to automate even when a robot can recognize the objects in front of it.
Notion Capital said in its October 22 investment note that it co-led the round with redalpine. Other investors include firstminute capital, while angel backers include former Meta chief AI scientist Yann LeCun and Mistral co-founder Arthur Mensch. The financing supports an effort to develop both robotic hardware and the AI models that control it.
Feeling Contact Through the Robot’s Actuators
Enact’s approach centers on information generated where a robot produces movement. According to redalpine’s technology overview, the startup designs its own actuators to make torque information more accessible, then feeds force and touch data into a foundation model alongside visual and language inputs.
The distinction matters for tasks in which contact changes what a robot should do next. A camera can show the position of a component, while resistance can indicate whether it is catching, slipping or pressing against another surface. That feedback can help a controller decide whether to adjust a movement rather than simply continue along a planned path.
Notion describes Enact as combining proprietary hardware and software to control how deployment data is collected and used for training. Its investment thesis emphasizes manual and hybrid manufacturing tasks, where adapting to variation is more important than repeating an identical motion. That is an investor’s account of the opportunity, rather than independent evidence that the system already meets factory reliability requirements.
A Zurich Team With Humanoid Experience
Founder and CEO Manuel Yves Galliker previously worked at 1X and Physical Intelligence, according to Notion’s company profile. His background spans humanoid development and AI-driven manipulation. Enact is combining work on model architectures, data pipelines, actuators and sensors, rather than presenting touch as a separate accessory added to an otherwise unchanged robot.
Redalpine says the funding will support hiring, hardware development and research, with initial industrial deployments planned. It also describes discussions with European companies in infrastructure, retail and food processing. Those discussions should be distinguished from named customer installations or completed commercial rollouts.
Force Awareness Becomes a Robotics Investment Theme
Enact joins a wider group of companies trying to make physical interaction a more useful input for robot learning. RobotsBeat recently covered Eka’s funding for force-aware robot AI and Daimon’s tactile infrastructure. Their approaches differ, but each puts contact information at the center of more adaptable manipulation.
For Enact, the next useful evidence will come from deployed systems: the tasks they handle, how often intervention is needed and whether learned skills transfer between objects and settings. The $30 million round provides resources to pursue that work; it does not by itself establish generalized dexterity or production-ready performance.
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