PrismaX launches with $11M to scale virtual datasets for robotics foundation models

INSUBCONTINENT EXCLUSIVE:
PrismaX is a platform designed to address physical AI and robotics industry challenges of data, models, and scaling
| Source: PrismaXRobotics developers need reliable data to build artificial intelligence models for training robots
PrismaX, which is building a robotics teleoperations platform, this week launched after completing an $11 million funding round.“Despite
steady inflows from venture capital, the physical AI and robotics industry has been unable to create an incentive structure that yields
high-quality and affordable data,” the company claimed
PrismaX said it is developing a standard for fair use in the industry in which the data that powers models generates revenue, which is then
returned to the communities that create the data.“Scalability of visual datasets is hindering breakthrough advancements in robotics,”
said Bayley Wang, co-founder and CEO of PrismaX
“That is why we are creating the ecosystem that will produce a dataset of diverse scenarios, highly generalizable compared to centralized
data, which benefits from improved scalability and reduces data-collection bias.”“Through our decentralized incentive structure, PrismaX
will create the path towards fully autonomous robots,” he added
“Our platform will allow people to work with AI rather than be replaced by it
As the industry advances, it is important to remember that human capital is required to build the models necessary to continue
scaling.”PrismaX was founded this year by Wang and Chyna Qu, who bring together experience in both robotics and decentralized technologies
The San Francisco-based startup is building and scaling foundational models to power advances in physical generative AI.Three pillars to
support data flywheelPrismaX said it focuses on the following three foundational elements of the robotics industry:Data: The company plans
to build protocols and mechanisms to validate and incentivize visual data, enabling robotics datasets to scale to the same levels as text
data and to improve accuracy and reliability.Teleoperation: PrismaX aims to define a uniform standard for teleoperation, providing turnkey
access to operators, payments, and software so robotics companies can focus on the things that make them different.Models: Through
collaboration with leading AI teams, the company aims to build models to power increasingly autonomous robots
This would amplify the impact of PrismaX’s network by allowing operators to replace multiple physical workers, all while increasing the
quality and quantity of the data collected.The company claimed that these pillars will create a “data flywheel” in which large-scale
data leads to better foundation models
This, in turn, would boost teleoperation efficiency, which then fuels more real-world data collection, thereby completing the loop.Physical
AI and robotics firms are currently sinking time and money into efforts to scale teleoperations teams with little breakthrough advances,
PrismaX said
By developing a platform with robust teleoperation standards, the company said it will help physical AI businesses to scale quickly and
reduce the costly redundancies occurring as a result of data being gathered in silos across the industry.Now accepting session
submissions!PrismaX plans to build out fleet“Humanoid robots are largely stuck in the lab, but PrismaX believes that, conceptually, they
can do much more,” it said
“They could be used for tasks such as folding laundry, assembling fast-food orders, or administering drugs in hospitals.”a16z CSX led
PrismaX’s funding round
The Stanford Blockchain Builder Fund, Symbolic, Volt Capital, Virtuals Protocol, and other angel investors also participated
The completion of this fundraising coincided with PrismaX’s official launch at a16z’s CSX Demo Day on June 3.PrismaX plans to use the
investment to build out its fleet, hone its teleop standards, and expand its data-collection portal
It said it will give robotics firms access to a community of teleoperators who can help scale their visual datasets and build smarter
machines faster.“In the short term, PrismaX is looking to attract AI enthusiasts drawn to novel data-collection challenges and their
potential impact,” stated the company
“These participants will be rewarded for their contributions and form the foundational models invaluable to robotics firms seeking data
for training runs.”The post PrismaX launches with $11M to scale virtual datasets for robotics foundation models appeared first on The
Robot Report.