How are we going to tackle the issues that AI companies are facing?

  • Price: Blockchain allows for cutting out middlemen, resulting in naturally lower prices as there are no unnecessary fees paid to people who are not adding value. Moreover, customers can choose how much they want to pay for data collection (they are nevertheless advised to define a fair price), so the price will naturally reach equilibrium between supply and demand. Our competitors set their own prices, which we believe are unfair.

  • Data Diversity: Our open platform allows anyone with an internet connection to contribute, ensuring that our customers have access to a wide range of bespoke data. This means that we are able to onboard diverse types of communities, including those who may have previously been underrepresented in data collection efforts. By doing so, we are able to offer rich datasets that more accurately represent the complexity of our world.

  • Quality: We take pride in our data validation process, which ensures that only checked and validated data is delivered to our clients. Unlike our competitors, who typically only partially validate their datasets, we validate every single data point to ensure that our clients receive the best possible results. For more information about our data validation process, you can find detailed diagrams in the following pages, particularly in the next section โ€œHow it worksโ€.

  • Operational excellence: Data collection on Ta-da is decentralized, with producers and checkers working in parallel. Because we chose blockchain as our technical architecture, a data collection job can be completed virtually in minutes. The entire process is encoded in the blockchain, avoiding human errors. The right tasks are presented to the appropriate community of people, and everything is transparent since everybody can check what happened on the blockchain.

  • Fairness: It is important to us that data producers & data checkers are treated fairly and ethically, which is not always the case with some companies collecting their data in third-world countries. These companies often pay their workers below minimum wage and provide poor working conditions. Our worker selection process is completely automated, which eliminates discrimination and judgment. Workers are free to accept or refuse a task.

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