PrivateAI is a company that utilizes neural network-based knowledge graphs, and through this provides a dynamic and interconnected representation of data. This approach enables intuitive exploration and identification of complex relationships within and across research domains. [1]
PrivateAI is a Peer-to-Peer Data-as-a-Service (P2P DaaS) network that enables data owners and producers to upload, showcase, and monetize high-quality datasets in a secure environment with prospective buyers and users (AI engineers, data analysts, and research institutions). PrivateAI is led by an executive team with multiple prior exits in web3 and AI. The organization develops privacy-preserving machine learning and natural language processing tools making privacy and GDPR compliance reliable. [2]
"We are dedicated to harnessing the power of crowdsourced data to fuel advancements in data analytics and AI services while ensuring fair compensation for data providers. We envision a future where valuable scientific, research, and device data are accessible to all, regardless of resources or affiliations, driving innovation, and accelerating progress in every corner of the globe." - Private AI mission statement[3]
On June 14, 2024, PrivateAI announced a successful raise of Strategic Round for its token PGPT, with lead investors including Charlie Hu of Bitlayer, DAO Maker, Gains Associates, Dextools Ventures, Connectico Capital, DOGE.ORG, Stone Block Association, 32 Ventures, Lunar Digital Assets, Pinnacle VC, Samara Asset Group, Snova Capital, Meezan Ventures. [4]
After closing the round, PrivateAI’s native token PGPT was launched on the centralized crypto exchange Bitget where it debuted with a 500% daily gain in the first 24 hours of trading. [4]
Through the utilization of neural network-based knowledge graphs, Private AI offers a dynamic and interconnected representation of data. This approach facilitates intuitive exploration and identification of intricate relationships within and across research domains. [3]
The Private AI platform facilitates the integration of diverse databases, enabling researchers to conduct comprehensive cross-database searches. This functionality enhances efficiency and reveals valuable insights that might otherwise remain undiscovered within isolated data silos. [3]
The AI algorithms are adept at detecting subtle patterns and trends across various data sources, offering a new dimension of insights essential for valuable research. [3]
편집자
편집 날짜
June 21, 2024
편집 이유:
update with news on strategic round