WorkML.ai has introduced a groundbreaking approach to data annotation, significantly improving the accuracy of AI models while reducing costs and time.

In 2020, Michael Bogachev and Denis Davydov, colleagues from a successful Ukrainian startup, met in the UAE after their company was acquired by the largest logistics company in the region. During their travels in Europe, they reconnected in Budapest and discovered the concept for their project.

With their combined experience in AI and cryptocurrencies, they identified two key challenges in preparing large AI models: processing large datasets and preparing metadata.

Metadata, a crucial element for neural networks, allows for the interpretation of visual, auditory, and written information and its relationship to other objects. Despite the abundance of raw data, creating accurate metadata is a challenging task.

To effectively train a neural network for image recognition or picture generation, tens of millions of images and corresponding metadata are required. However, the complexity of the annotation process and the time required to generate metadata can be overwhelming.

WorkML.ai's solution involves creating a global employment hub where individuals can become annotators and data validators. This approach could mobilize tens and hundreds of thousands of annotators, significantly increasing the speed and quality of annotation while reducing costs.

To optimize expenses and fees, the project enables the use of cryptocurrencies for transactions and introduces its token, WML, for internal payments and annotator remunerations.

The WML token offers various benefits, including Proof of Stake (PoS) and Human's Proof of Stake (H-PoS), a multi-tiered referral program, and perpetual discounts for customers paying with the WML token.

WorkML.ai's innovative approach to data annotation and the use of cryptocurrencies have the potential to significantly impact the AI industry, reducing the cost and time involved in AI development. Investing in WorkML.ai offers substantial returns and the opportunity to be part of a pivotal movement in AI innovation.