💡Why are we building Ta-da?
First revolution
As many are aware, 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.
Second revolution
Micro-tasking can become essential in social media engagement.
We offer all brands a solution to grow a community in a qualitative, committed, and rewarding way.
Indeed, projects are looking for engaged followers who genuinely support their initiatives. Projects benefit more from authentic, passionate followers than from mere passive ones. Moreover, obtaining bots, inactive profiles, and the follow/unfollow trend can severely damage a project. When running contests, there’s no guarantee of success, and more often than not, followers disengage once the contest ends.
From the community side, they want to actively engage and support projects they are genuinely passionate about. They want to be involved in initiatives that are relevant and meaningful to them and be directly rewarded for their engagement and dedication. Our solution meets this need by offering authentic and measurable engagement, eliminating inefficiencies and superficial engagement often associated with traditional methods.
We ensure we understand our community through various criteria (interests, geography, gender, etc.), guaranteeing that projects get the desired followers and allowing followers to engage only with projects they are passionate about. With Ta-da, we are committed to revolutionizing the micro-tasking market by using blockchain technology to guarantee the quality and transparency of tasks while ensuring fair and equitable compensation for micro-taskers.
We aim to create a new, fun, and engaging way that encourages individuals to contribute to missions and earn money by completing tasks qualitatively through a Web3 application for various fields: AI, Social Media Growth, and much more.
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