School Bus Startup Zum Eyes IPO as Market Broadens

Hannah Earley, 31, is leading Vaire Computing to commercialize reversible computing, a decades-old theoretical approach that recovers energy typically wasted as heat in chip calculations. The company achieved a key milestone last year by demonstrating a chip with a resonator that recovered more energy than it consumed, moving the concept from theory toward practical implementation. Reversible computing could significantly improve energy efficiency in data centers, laptops, and phones by retaining intermediate calculation data rather than erasing it, avoiding the energy loss that occurs during conventional chip operations.

Danijar Hafner, a 31-year-old AI researcher who worked at Google Brain and DeepMind, has launched a stealth-mode startup in San Francisco focused on developing robots that can navigate unfamiliar environments. Using model-based reinforcement learning and world models, Hafner's approach enables AI agents to plan ahead and handle scenarios they have not encountered during training, a capability critical for deploying robots in human spaces. His technique allows complex robotic tasks without extensive real-world trial-and-error training that has traditionally been required in robotics.

Nscale, an AI compute provider that recently secured a $45 billion deal with Anthropic, is pursuing $3.5 billion in pre-IPO financing. The funding round signals the company's preparation for a public market debut. This move reflects growing capital intensity in the AI infrastructure sector as demand for compute resources accelerates.

XDOF, a robot data startup, is in Series B funding discussions at a $1.2 billion valuation just three months after exiting stealth mode. The rapid fundraising timeline reflects investor interest in the robotics and AI data space. The round has not yet closed, and terms may change.