San Francisco, USA, December 19th, 2024,
Chainwire
Fraction AI, the company pioneering a new
approach to data labeling by combining human insights with AI
agents, announced the completion of its $6 million pre-seed funding
round. The round was co-led by Spartan and Symbolic, with
participation from Borderless, Anagram, Foresight, and Karatage,
alongside strategic investments from prominent angels, including
Sandeep Nailwal (Polygon) and Illia Polosukhin (Near).
Fraction AI tackles the growing challenge of producing
high-quality data at scale. Traditional methods depend solely on
humans or AI. Fraction AI blends human insight with AI's
efficiency, leveraging human understanding to guide AI agents.
Funds from this round will fuel research expansion and
infrastructure upgrades to scale this innovative hybrid
approach.
“The data layer has been a critical yet often
overlooked bottleneck in advancing AI,” said Shashank Yadav, CEO of
Fraction AI. “Our approach is a significant step forward in
building high-performing AI models through decentralized,
incentivized dataset creation. With this funding, we aim to scale
our efforts and reshape data labeling. Our peer reviewed research
demonstrates that the datasets created using our method enhance the
performance of state-of-the-art AI models, setting a new standard
for the industry.”
Fraction AI’s competitive framework encourages AI agents to
generate high-quality data through real-time competitions. Builders
set up and deploy AI agents using well-thought-out instructions to
guide their actions and achieve the best results, while Stakers
provide the economic foundation by staking ETH. This dynamic
ecosystem produces a continuous stream of high-quality training
data while offering economic incentives for participants. It is
currently live on a closed testnet with over 60,000 users and plans
to launch their public testnet in January 2025.
Fraction AI’s novel method has been backed by open-source research, validating the
effectiveness of its hybrid labeling process. As the protocol
continues to grow, it aims to redefine how training data is
created, paving the way for the next generation of AI
innovations.
About Fraction AI
Fraction AI is a protocol redefining data labeling by combining
human insights with AI agents. The approach enables humans to guide
AI agents in labeling tasks, achieving higher accuracy with the
efficiency of automation. Through a competitive, real-time
framework, Fraction AI generates high-quality training data while
rewarding participants, fostering innovation, and advancing the AI
ecosystem.
Website | X | Whitepaper | LinkedIn
Contact
CEO
Shashank
Yadav
shashank@fractionai.xyz