Interview

Nothing closes $200M Series A as Carl Pei teases first AI hardware devices launching next year

Oct 1, 2025 with Carl Pei

Key Points

  • Nothing closes $200M Series A backed by approaching $1 billion in annual revenue, planning first AI hardware launches in 2026 without confirming form factors.
  • Essential Apps platform lets users deploy natural language-described apps to Nothing phones; 10,000 people signed up for the waitlist within 24 hours.
  • Carl Pei positions Nothing as deliberately mid-sized to iterate fast on AI hardware, betting personalization from cameras and audio sensors will drive adoption over form factor alone.
Nothing closes $200M Series A as Carl Pei teases first AI hardware devices launching next year

Summary

Nothing has closed a $200 million Series A, with founder Carl Pei pointing to revenue growth as the primary driver. The company is approaching $1 billion in annual revenue and plans to ship its first AI hardware devices starting next year, though Pei declines to specify form factors, saying the industry is still searching for product-market fit in the next hardware category.

The fundraise is as much a forward bet as a growth validation. Pei frames Nothing's position as deliberately mid-sized: large enough to build high-quality consumer hardware, small enough to move fast and take creative risks. That positioning matters more as AI creates the conditions for a new device cycle, and Nothing wants to be ready to iterate quickly rather than arrive with a single confident answer on form factor.

Essential Apps

Alongside the raise, Nothing launched an alpha product called Essential Apps, a platform that lets users describe an app in natural language, then deploys it directly to a Nothing phone. Within 24 hours, nearly 10,000 people signed up for the waitlist — which requires applicants to pitch their app idea before being accepted. Pei sees owning the full hardware-software stack as a structural advantage here, citing the friction that vibe-coding products face trying to operate inside Apple's ecosystem.

On AI hardware design philosophy, Pei agrees that anchoring new devices to familiar form factors — glasses, wristbands, necklaces — meaningfully reduces user education risk. But he argues the real adoption catalyst will be personalization: as new sensors capture more context about individual users, devices become more capable for each person over time. The sensors in question are cameras and audio; Pei jokes that smell is not on the roadmap.

Nothing's first AI devices land next year with no confirmed specs, into a market where no one has yet found the winning form factor.