To be honest, now that a multitude of AI Agent projects are out there, the trained eyes have become very discerning. When researching #AI projects, we are becoming increasingly picky; it's becoming very difficult to catch our interest without any practical cases or applications.
In the current mid-to-late stage of AI investment, investment mainly focuses on three directions: one is AI Agents, one is AI models, and one is the data side. One leans towards the application layer, and the other leans towards the fundamental infrastructure. The data side is like oil to cars; without oil, there is no way to discuss AI training, let alone AI Agents. So the same pain points remain, mainly data ownership, data tokenization, data privacy, and the adoption of private data.
Currently, everyone is trying various approaches and skills, but to be honest, very few can actually engage in case cooperation with real Web2 companies and have practical applications. #Nillion is one of them! In my previous articles discussing AI, I have mentioned a viewpoint that public domain AI data has basically been exhausted, and everyone is trying to tap into private domain AI data. This involves two very important issues: data ownership and data privacy. Without good solutions to these two problems, no one will be willing to authorize their private data for no reason. #Nillion adopts a unique dual-layer technology architecture that effectively solves the aforementioned problems.
One is the PETnet protocol, which you can understand as a data privacy protection technology that combines various encryption schemes. It mainly uses secure multi-party computation (MPC) technology to achieve 'blind computation' of data, officially referred to as the Curl protocol, enabling secure operations without decrypting the data. This technology uses the Curl protocol to split user data into encrypted 'shared pieces' stored across nodes, then perform distributed computing, and finally reconstruct the results. Another is the Nil Chain, which addresses transaction verification and payment issues and incentive schemes, that is, data ownership and data monetization issues. Through this technology architecture, #Nillion's innovation not only ensures data privacy but also expands the application scenarios of blockchain technology in real-world AI applications, which we value highly.
The application of blind computation in personalized services in artificial intelligence is particularly prominent. For example, the currently popular AI Agents require a large amount of personal data to provide accurate services, and Nillion's technology can train AI models while protecting privacy, enabling AI Agents to truly possess personalized capabilities. Leading AI platforms such as Virtuals and Capx have planned to develop on the #Nillion network, injecting more possibilities into this field.
In the healthcare field, #Nillion helps resolve the contradiction between data privacy and sharing. For example, Nillion collaborates with Maya to use blind computation to achieve encrypted storage and processing of sensitive patient data, thereby improving diagnosis and treatment outcomes while complying with regulations (such as HIPAA and GDPR). Additionally, based on Nillion, the mental health platform Space of Mind utilizes AI to analyze user data, offering personalized psychological support while ensuring privacy is not compromised.
In the data market, #Nillion supports the 'Data-to-Earn' model, allowing users to participate in the data economy securely through encrypted data without worrying about privacy breaches. Projects like ZAP and Fulcra are utilizing Nillion technology to provide secure monetization pathways for user data, pioneering decentralized data sharing and profit-making methods.
In cross-enterprise collaboration and network security, #Nillion has also shown amazing potential, supporting code vulnerability detection between enterprises through Nillion's technology, allowing both parties to collaborate while protecting intellectual property, thus achieving a win-win situation in security and confidentiality. Summary: Nillion, with its groundbreaking technology, is promoting the integration of #Web3+ #AI with traditional industries, providing a solid foundation for data privacy protection and innovative application scenarios, deserving of continuous attention.
