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PIN AI is an open platform for personal AI, enabling users to reclaim data from centralized platforms and train private, on-device AI models. The PIN network integrates private computing, Trusted Execution Environments (TEEs), and blockchain validation to ensure secure interactions between humans and AI.
PIN AI aims to create an open AI network with access to a vast amount of contextual data, where AI builders can create a variety of useful AI applications. Rooted in open-source AI and Ethereum, PIN has three foundational layers: personal data (with a focus on privacy and data ownership), personal AI (a useful and trustworthy companion AI on private devices), and external AI (an open market for AI services).
Founded: 2024
Website: PIN AI | The First Personal AI Network
Twitter: https://x.com/PINAI_IO
Funding Situation of PIN AI
Pioneering AI infrastructure company PINAI announced a $10 million pre-seed funding round to develop the world's first open-source Personal Intelligence Network (PIN). The project, backed by innovators from Ethereum core research, Google Brain, Stanford University, MIT, and Carnegie Mellon University, aims to democratize device intelligence. It has received investments from a16z Crypto, Hack VC, and investors from projects like Solana, Polygon, Near, and Worldcoin.
Team Behind PIN AI
Davide Crapis, Co-founder of PINAI, is a former Ethereum Foundation researcher. He holds a bachelor's and master's degree from Bocconi University and a Ph.D. from Columbia University.
Anling T., Chief of Marketing at PINAI, previously served as the head of growth at MetaWeb Ventures. She graduated from the University of California, Berkeley.
Technical Architecture of PIN AI
PIN AI's technical architecture includes the following key components:
Data Connectors and On-Chain Registry: Track and verify user data sources, authenticating data origins through zero-knowledge cryptography (e.g., zkTLS).
Private Storage and Compute Layer: Provide secure data storage beyond the capacity of user devices, ensuring data privacy through decentralized storage solutions.
Agent Linking and Intent Market: Allow AI agent applications to fulfill user intents, matching user queries with agent services in a decentralized manner.
Key Highlights of PIN AI
Decentralized Architecture and Privacy Protection: User data is fully localized. PIN AI uses a decentralized infrastructure, storing all user data on personal devices rather than centralized servers to ensure privacy and security.
Open-Source Models and Customization with Multi-Model Support: Supports streamlined versions of open-source models like DeepSeek and Meta Llama. Users can build personalized AI assistants based on these models to meet different scenario needs.
Deep Integration of AI and DePIN for Crypto Mass Adoption: Combines the computational power and data processing capabilities of AI with the decentralized physical infrastructure network (DePIN) to reduce operational costs and increase efficiency, providing practical applications for the crypto market.
Top-tier Team and Investor Support: The founding team, with backgrounds from Columbia University, MIT, and Stanford, has experience in both AI and blockchain. PIN AI has received support from top-tier venture capital firms like a16z Crypto and Sequoia Capital and attracted participation from blockchain pioneers (e.g., founders of Near and SUI).
Future Application Scenarios and Vision with Token Economics and Incentives: Future plans may include token incentives to encourage users to contribute data or computational power, enhancing community engagement (similar to typical models in DePIN projects).
PIN AI, as an AI project with significant A16Z involvement, was selected for the 2024 Fall cohort. Its potential upside could be comparable to the previously led IP tokens, already achieving a 100x space!
Core Technology of PIN AI
PIN AI places a strong emphasis on user privacy protection, using a hybrid model to ensure the security and privacy of user activity information. The project offers the following services:
Minimized-trust activity tracking and value exchange, ensuring user information security.
User control over data, allowing users to decide which data can be accessed.
An open innovation platform that encourages the development of new AI services.
Future Potential of PIN AI
The core highlight of PIN AI lies in its ability to provide highly personalized and private AI assistants through a decentralized architecture, privacy protection, and an open-source AI ecosystem. If successful, it could become a benchmark case for "personal AI sovereignty" in the Web3 era.
PIN AI is like an extremely intelligent assistant. It uses the latest blockchain technology to protect your privacy while helping you handle daily tasks such as shopping, travel planning, or financial management. Moreover, it is backed by a group of highly capable individuals, including some renowned investment firms. As the saying goes, "A tall tree provides good shade," and this is always true. We look forward to the performance of PIN AI upon its launch.
PIN AI is an open platform for personal AI, enabling users to reclaim data from centralized platforms and train private, on-device AI models. The PIN network integrates private computing, Trusted Execution Environments (TEEs), and blockchain validation to ensure secure interactions between humans and AI.
PIN AI aims to create an open AI network with access to a vast amount of contextual data, where AI builders can create a variety of useful AI applications. Rooted in open-source AI and Ethereum, PIN has three foundational layers: personal data (with a focus on privacy and data ownership), personal AI (a useful and trustworthy companion AI on private devices), and external AI (an open market for AI services).
Founded: 2024
Website: PIN AI | The First Personal AI Network
Twitter: https://x.com/PINAI_IO
Funding Situation of PIN AI
Pioneering AI infrastructure company PINAI announced a $10 million pre-seed funding round to develop the world's first open-source Personal Intelligence Network (PIN). The project, backed by innovators from Ethereum core research, Google Brain, Stanford University, MIT, and Carnegie Mellon University, aims to democratize device intelligence. It has received investments from a16z Crypto, Hack VC, and investors from projects like Solana, Polygon, Near, and Worldcoin.
Team Behind PIN AI
Davide Crapis, Co-founder of PINAI, is a former Ethereum Foundation researcher. He holds a bachelor's and master's degree from Bocconi University and a Ph.D. from Columbia University.
Anling T., Chief of Marketing at PINAI, previously served as the head of growth at MetaWeb Ventures. She graduated from the University of California, Berkeley.
Technical Architecture of PIN AI
PIN AI's technical architecture includes the following key components:
Data Connectors and On-Chain Registry: Track and verify user data sources, authenticating data origins through zero-knowledge cryptography (e.g., zkTLS).
Private Storage and Compute Layer: Provide secure data storage beyond the capacity of user devices, ensuring data privacy through decentralized storage solutions.
Agent Linking and Intent Market: Allow AI agent applications to fulfill user intents, matching user queries with agent services in a decentralized manner.
Key Highlights of PIN AI
Decentralized Architecture and Privacy Protection: User data is fully localized. PIN AI uses a decentralized infrastructure, storing all user data on personal devices rather than centralized servers to ensure privacy and security.
Open-Source Models and Customization with Multi-Model Support: Supports streamlined versions of open-source models like DeepSeek and Meta Llama. Users can build personalized AI assistants based on these models to meet different scenario needs.
Deep Integration of AI and DePIN for Crypto Mass Adoption: Combines the computational power and data processing capabilities of AI with the decentralized physical infrastructure network (DePIN) to reduce operational costs and increase efficiency, providing practical applications for the crypto market.
Top-tier Team and Investor Support: The founding team, with backgrounds from Columbia University, MIT, and Stanford, has experience in both AI and blockchain. PIN AI has received support from top-tier venture capital firms like a16z Crypto and Sequoia Capital and attracted participation from blockchain pioneers (e.g., founders of Near and SUI).
Future Application Scenarios and Vision with Token Economics and Incentives: Future plans may include token incentives to encourage users to contribute data or computational power, enhancing community engagement (similar to typical models in DePIN projects).
PIN AI, as an AI project with significant A16Z involvement, was selected for the 2024 Fall cohort. Its potential upside could be comparable to the previously led IP tokens, already achieving a 100x space!
Core Technology of PIN AI
PIN AI places a strong emphasis on user privacy protection, using a hybrid model to ensure the security and privacy of user activity information. The project offers the following services:
Minimized-trust activity tracking and value exchange, ensuring user information security.
User control over data, allowing users to decide which data can be accessed.
An open innovation platform that encourages the development of new AI services.
Future Potential of PIN AI
The core highlight of PIN AI lies in its ability to provide highly personalized and private AI assistants through a decentralized architecture, privacy protection, and an open-source AI ecosystem. If successful, it could become a benchmark case for "personal AI sovereignty" in the Web3 era.
PIN AI is like an extremely intelligent assistant. It uses the latest blockchain technology to protect your privacy while helping you handle daily tasks such as shopping, travel planning, or financial management. Moreover, it is backed by a group of highly capable individuals, including some renowned investment firms. As the saying goes, "A tall tree provides good shade," and this is always true. We look forward to the performance of PIN AI upon its launch.
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