Darwin Robotics Raises $3.6M Pre-Seed to Build General-Purpose Robot Technicians

We're excited to announce that Darwin Robotics has raised $3.6 million in pre-seed funding, led by Link Ventures, with participation from Y Combinator, Liquid 2 Ventures, Rebel Fund, Globivest, Script Capital, and angel investors including founders of OpenAI, xAI, and Y Combinator.

We're building general-purpose robot technicians that assemble, commission, and maintain critical infrastructure, starting with data centers. Our robots learn complex physical tasks from human demonstrations rather than being explicitly programmed for each workflow.

Our mission: Robots to build civilization.

General-Purpose Robot Technicians

Our robot technicians take work orders and use tools to assemble, maintain, and repair machines. Give it a port map, and it installs hundreds of fiber-optic connections. Assign it a failed server, and it diagnoses and repairs the hardware. The same robot can assemble new equipment, inspect infrastructure, and perform an expanding range of maintenance tasks.

As Charles Darwin observed in The Descent of Man: "Man could not have attained his present dominant position in the world without the use of his hands." [1] Our ability to make and use tools has been fundamental to human technological progress. From steam engines to rockets, civilization has been built by intelligent minds and skilled hands wielding tools.

In lectures delivered in 1948 and 1949, mathematician John von Neumann proposed the concept of self-replicating machines capable of constructing copies of themselves [2]. More than 75 years later, advances in artificial intelligence and robotics are bringing us closer to realizing a world where machines can build and maintain other machines.

We're building robots that can.

Compute Is Scaling. Physical Work Isn't.

Artificial intelligence is driving an unprecedented expansion of computing infrastructure. Global data center capacity is set to double by 2030, from 103 to 200 gigawatts, growing 14% annually [3].

But before a single GPU can begin working, technicians must do an enormous amount of physical labor: install servers, connect electrical and fiber-optic cables, and commission equipment. Once operational, these facilities require ongoing maintenance and repair.

As compute scales, this work becomes an increasingly important bottleneck in time-to-compute. With the industry moving towards megawatt-scale racks and 800-volt DC power distribution [4], the physical work is also becoming more precarious. Robots offer an opportunity to accelerate deployment and maintenance while reducing human exposure to hazardous environments.

Deployment-First

We believe the path to autonomous robot technicians runs through real-world deployment. Our approach is to deploy robots onsite under human supervision and collect demonstrations on failures. We use this data to progressively improve our models, redeploy them, and move towards full autonomy.

What's Next?

This financing will accelerate the development of our robotic hardware and learning systems, expand our engineering team, and support our deployments. This is just the beginning. To build new cities, expand industry, and establish life beyond Earth, civilization will need more than its own hands.

We're hiring exceptional engineers and researchers in robot learning and hardware, and seeking deployment partners building and operating data centers.

We're grateful to Link Ventures, Y Combinator, Liquid 2 Ventures, Rebel Fund, Globivest, Script Capital, and all of our early investors for backing our vision.

References

[1] Darwin, C. (1871). The Descent of Man, and Selection in Relation to Sex, Vol. I, Chapter IV, p. 141. John Murray.

[2] von Neumann, J. (1966). Theory of Self-Reproducing Automata. Edited by Arthur W. Burks. University of Illinois Press.

[3] JLL. (2026). 2026 Global Data Center Outlook. January 2026.

[4] NVIDIA. (2025, May 20). NVIDIA 800 VDC Architecture Will Power the Next Generation of AI Factories. Technical blog.