PrismaX launches with $11M to scale virtual datasets for robotics foundation models - The Robot Report

PrismaX, a San Francisco-based startup founded in 2024 by Bayley Wang and Chyna Qu, has launched with $11 million in funding to address key challenges in the physical AI and robotics industry related to data quality, model development, and scalability. The company is developing a robotics teleoperations platform aimed at creating a decentralized ecosystem that incentivizes the collection and use of high-quality visual datasets. PrismaX’s approach focuses on establishing fair use standards where revenue generated from data powering AI models is shared with the communities that produce it, thereby tackling issues of data scarcity, bias, and affordability that have hindered robotics advancements. The platform is built around three foundational pillars: data, teleoperation, and models. PrismaX plans to validate and incentivize visual data to scale robotics datasets comparable to text data, define uniform teleoperation standards to streamline operator access and payments, and collaborate with AI teams to develop foundational models that enable more autonomous robots. This integrated approach aims to create a “data flywheel