WeData plus

Wedata Ecosystem
Data Marketplace
AI BRIDGE
Our product
AI project

Inspiration

In the context of Artificial Intelligence expanding into various fields, the potential of AI can address complex problems as a substitute for humans.

However, for AI, data is an essential element necessary for model training. Collecting and accessing diverse and abundant data is a challenge. Furthermore, creating commercial value from AI products is equally challenging, demanding a lot in terms of marketing strategies. Organizations developing AI need to seek collaborative opportunities and investments to create value that attracts user communities.

The problem Wedata(plus) solves

In the real of scientific research, Wedata(plus) steps beyond the traditional boundaries. It addresses a critical issue in the AI landscape – the commercialization of AI models and solutions within the web3 community.

The share of studies based on primary data has declined relative to secondary data across all international business journals” (Cerar et al., 2021)

By employing innovative technology to tackle age-old challenges, blockchain technology has emerged as a promising solution to surmount these obstacles and cultivate a more collaborative and secure research environment. Researchers can now establish data-sharing agreements with individuals or organizations, providing compensation or rewards in exchange for their data contributions.

While traditional AI development faces its share of hurdles in bringing AI products to market, the emergence of the web3 era introduces a new set of challenges. In this decentralized and community-driven landscape, there is a need to establish trust within the community and effectively harness the potential of blockchain technology for AI commercialization.

What Wedata does

Decentralized Storage Infrastructure: Wedata empowers researchers and data enthusiasts by providing a decentralized storage infrastructure. Leveraging web3storage, it offers a secure and distributed platform for storing large datasets. With a dedicated workspace, researchers can seamlessly collaborate on projects, share knowledge, and access shared datasets.

Data marketplace: The Data Marketplace hosts an array of datasets spanning various domains and industries. Everyone can exchange their data for various purposes within the marketplace.

AI Laucher: AI Launcher thrives on the principles of decentralization and collaboration. It brings together AI developers, researchers, and enthusiasts from across the web3 community, creating a vibrant and dynamic space for the exchange of ideas and expertise.

What's next for WeData

We have begun to focus on building prototype ideas in Near protocol. Over the next six months, our primary emphasis will be on development and testing. After this period, we plan to commence a pre-launch phase within our community, "Nghiện AI" (AI Enthusiasts).