The problem Wedata solves

With AI's growing presence across sectors, the promise of addressing complex problems and streamlining operations holds immense appeal.

However, a significant hurdle looms in the background - AI 'hallucinations'. These inaccuracies arise when AI models make misguided interpretations or predictions based on unverified assumptions, much like perceiving phantoms where none exist.

And that's why Wedata was created.

Wedata offer a solution to store data on- chain. Pairing this with end-to-end encryption ensures data integrity when shared via the InterPlanetary File System (IPFS) for consumers. Wedata aims to revolutionize the AI industry through blockchain, fostering trustworthy AI and reducing AI hallucinations.

Challenges we ran into

IPFS, being a decentralized and distributed system, poses unique obstacles when it comes to content encryption. The decentralized nature of IPFS makes it difficult to apply traditional encryption methods directly to the content stored within the network. This presented us with the need to find alternative approaches to guarantee end-to-end encryption and maintain the confidentiality of the data.

To address this challenge, we explored the implementation of end-to-end encryption techniques. This approach involves encrypting the data at its source and decrypting it only at the intended recipient's end. By doing so, we ensure that the content remains secure throughout its journey, mitigating the risks associated with sharing sensitive information.

Our future plans involve conducting thorough research and development to advance content encryption within the wedata project.