Author: PrismaX
Translated by: Tim, PANews
Robotics AI platform startup PrismaX today officially announced a successful fundraising of $11 million and made its formal debut at the demo day (June 3rd) of the a16z CSX crypto startup accelerator. This round of funding was led by industry leader a16z CSX, with participation from Stanford Blockchain Accelerator Builder Fund, Symbolic, Volt Capital, Virtuals Protocol, and multiple angel investors.
PrismaX was co-founded by Bayley Wang and Chyna Qu, who bring extensive experience in robotics and decentralized technologies. They established PrismaX with the aim of building and expanding foundational models to provide core driving force for breakthrough advancements in physical generative artificial intelligence.
Despite continuous venture capital inflow, the physical AI and robotics industry has struggled to establish an incentive mechanism for generating high-quality, affordable data. To break through this bottleneck, PrismaX is developing an industry-first fair use standard: enabling data driving models to generate revenue, which will ultimately be returned to the data production community.
PrismaX Co-founder and CEO Bayley Wang stated: "The scalability issue of visual datasets has hindered breakthrough possibilities in robotics. We are creating an ecosystem that generates datasets covering various scenarios, with universality far beyond centralized data. This ecosystem can enhance data extensibility and reduce data collection bias. Through a decentralized incentive mechanism, PrismaX will pave the way for fully autonomous robots. Our platform will make AI a collaborative tool for humans, not a replacement. As the industry develops, we must clearly recognize that talent capital required to build sustainable and scalable models is indispensable." By applying crypto token incentives, PrismaX reliably crowdsources heterogeneous data to help build visual modeling infrastructure.
Understanding the PrismaX Platform
PrismaX's three major advantages in the robotics industry:
- Data: By building protocols and mechanisms to verify and incentivize large-scale visual data development, enabling robotics learning datasets to reach the same scale as text data, and achieving unprecedented breakthroughs in precision and reliability.
- Remote Operation: Establishing unified standards for remote operation, providing turnkey service access, payment solutions, and software support, allowing robotics companies to focus on developing their unique advantages.
- Models: By collaborating with leading AI teams, constructing models that drive increasingly autonomous robots, enabling operators to replace multiple manual laborers, further releasing PrismaX network value while improving data collection quality and scale.
These stages will create a flywheel effect: large-scale data can optimize foundational models, thereby improving remote control efficiency, which in turn will drive further real-world data collection, thus creating a complete data loop.
Physical AI and robotics enterprises currently invest significant time and funds in expanding remote operation team sizes, with few breakthrough advancements. By developing a platform with robust remote operation standards, PrismaX will help AI companies rapidly scale up while eliminating costly redundant investments caused by industry data collection silos.
PrismaX's Future Development Roadmap
Most humanoid robots are still confined to laboratories, but PrismaX believes they can potentially serve greater purposes. Scenarios from folding clothes and making fast food to hospital medication management could be possible. The funds raised in this round will be used to expand PrismaX's robotics team, refine remote operation specifications, and develop data collection portals to help robotics companies access remote operator communities, assisting them in expanding visual datasets and developing smarter robotic products more quickly.
In the short term, PrismaX aims to attract AI enthusiasts passionate about novel data collection challenges and their potential impact. Participants' contributions will be rewarded, and the foundational models they build will provide valuable core datasets for robotics enterprises seeking training data.
By combining supply-side and demand-side partners, PrismaX will build a communication bridge for robotics and mainstream application markets.
