Y Combinator’s latest Demo Day presented a distinct shift toward deep technology startups compared to previous cohorts. Early-stage venture capitalists highlighted nine startups that stood out for their innovative approaches and potential impact.
Atomarine is developing nuclear-powered data centers on floating platforms, aiming to address power shortages and community resistance to land-based data centers. By leveraging seawater for cooling, the company plans a gas-powered pilot by 2028 and a transition to nuclear-powered ships by 2032. It has reportedly secured over $4 billion in customer interest.
Dipole Labs focuses on improving data center efficiency by creating optical networking hardware that eliminates the energy-intensive conversion between light and electricity in GPU clusters. This innovation could reduce power consumption and heat generation in AI data centers.
Isengard produces jet-powered strike and counter-drones domestically within allied countries at a lower cost than traditional contractors. Founded by a former Australian Army officer and a defense entrepreneur, the company has generated $10 million in revenue and attracted significant investor attention.
Lamb Labs is developing custom AI inference chips with hardcoded model weights, called Model Processing Units (MPUs). These chips aim to reduce energy use and overcome memory bandwidth limitations common in current AI hardware.
One startup collects extensive real-world video data of humans performing tasks to train robots, collaborating with publicly traded companies and capturing data across numerous environments. This work supports the growing experimentation with robotic automation in various industries.
Nori offers an affordable humanoid robot designed for household chores like cleaning and folding clothes. Priced around $1,600, it provides a more accessible option compared to higher-cost competitors and has achieved nearly half a million dollars in sales shortly after launch.
Another company is building autonomous robots capable of lifting heavy objects, currently deploying technology for solar panel installation in the U.S. With $25 million in contracts through 2027, the startup envisions its robots aiding future Mars colonization efforts.
Parasma explores using human brain cells to power computing, aiming to create energy-efficient alternatives to conventional AI hardware.
Waddle Labs is developing an API that uses large language model agents to write robot control code. This approach allows developers to command robots in natural language, with the system autonomously generating and verifying executable code, potentially accelerating robotics programming.
This batch reflects a growing investor interest in startups addressing foundational challenges in computing, robotics, and energy, signaling a maturing deep tech ecosystem emerging from Y Combinator.