Overview
Last updated
Last updated
Ta-da is a revolutionary platform leveraging micro-tasking and Web3 to scale Human-generated data collection for AI models.
Ta-da is a spin-off from , a leader in voice AI and speech recognition technologies. The project was born out of Vivoka's need to obtain quality data to feed their own AI models. Faced with costly and mediocre-quality open-source datasets provided by data agencies, we decided to explore an alternative approach: data collection through micro-tasks offered by a community.
Our vision is to revolutionize the micro-tasking market by integrating blockchain technology to guarantee quality, security, transparency, and fairness in every interaction. We firmly believe that every contribution matters and deserves recognition, and we are committed to providing a platform where users can thrive through their hard work and dedication. We enable everyone to earn money, regardless of their origin, skills, or geographical location, thus ensuring opportunities for all.
With our innovative approach, users can engage in diverse and meaningful tasks while being assured of equitable rewards. These tasks include data production for AI, image classification, community engagement with projects, and more. Blockchain technology ensures security, transparency, and traceability at every step of the process, providing an unparalleled user experience in the world of micro-tasking for both companies and users.
Ta-da stands for a new era in micro-tasking, where authentic engagement, quality of work, and fair compensation are at the core of everything we do.
Obtaining quality work through micro-tasking is a significant challenge. Often, companies that request micro-tasks find themselves disappointed with the results due to inconsistent work quality, lack of coherence, and difficulties in verifying task completion.
On the other hand, micro-taskers are frequently underpaid due to intermediaries, the unique nature of the tasks, and constant negotiations over the desired outcome by the companies requesting the tasks.
Our goal is to ensure users are fairly rewarded for the tasks they complete across various fields while delivering high-quality results to companies. We ensure the fairness of this system with blockchain technology. Ta-da is the first solution that fairly rewards users for completing high-quality tasks in different domains. Our first revolution in qualified micro-tasking is in data collection for AI. We offer AI companies easier access to high-quality data at an affordable price.
Data Collection for AI: Data is the biggest expense for AI companies. Today, there’s a race among developers to create the best artificial intelligence. However, to build a good AI, it is crucial to have high-quality data. If the data used has limitations or quality issues, the AI won't perform as desired. Therefore, the race is now also focused on acquiring the highest quality and most precise data possible. But this comes at a cost. According to LXT, 59% of an AI budget is spent on data. There are three major challenges related to acquiring this precious data:
Ensuring high-quality datasets: High-quality data refers to data that is accurate, complete, and consistent. Inaccurate or incomplete data can lead to incorrect predictions or decisions. Inconsistencies in the data can also cause errors in AI performance. Therefore, a robust data collection and cleaning process is essential to ensure the dataset is of high quality.
Ensuring data diversity: For instance, if you train your speech recognition AI on the voices of people aged 25 to 35, your AI will struggle to understand children or older populations.
Managing costs: Data collection companies charge a premium for custom datasets. Free or open-source datasets are also an option, but they come with many limitations.
Since data is the fuel for artificial intelligence, we believe AI companies should have easier access to high-quality data at a better price, and users should be well-rewarded for completing tasks accurately.
Join us!
