Noosphere Labs
Robotics · Seattle, United States
Human-centered physical intelligence for the real world. MoreLess
Noosphere Labs, Inc. is a technology startup operating in stealth mode and focusing on what it terms “human-centered physical intelligence.” The company’s objective is to develop artificial intelligence designed to help people interact with and understand the physical world, moving beyond the limitations of screen-based text and image interactions.The company was incorporated in Delaware in early 2026. In August 2026, Noosphere Labs disclosed that it had secured approximately $10.25 million in financing. The investment round was led by Trilogy Equity Partners, with major participation from fellow Seattle-based venture capital firm Madrona. This significant pre-product funding highlights investor confidence in the founder's vision and expertise.Noosphere Labs was founded by CEO Kevin Carlberg, a former research director at Meta. During his more than five-year tenure at Meta, Carlberg led a research team within Reality Labs and the Fundamental AI Research (FAIR) group, where he focused on physical AI and simulation for wearable computers and mixed-reality devices. Prior to Meta, he worked for eight years at Sandia National Laboratories, developing methods for near-real-time, large-scale physics simulations for national security applications. Carlberg holds a Ph.D. from Stanford and is an affiliate associate professor at the University of Washington. Another director listed in the company's filing is Tyler Simpson, a software executive who previously worked as a technical program manager at Meta and co-founded the commute-management startup Luum.Keywords: physical AI, real-world intelligence, human-computer interaction, wearable computing, mixed reality, physics simulation, artificial intelligence, Kevin Carlberg, Trilogy Equity Partners, Madrona, stealth startup, Seattle, machine learning, physical simulation, human-centered AI, Reality Labs, robotics, applied mathematics, sensor fusion, spatial computing
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