The data collection market is poised for a 25% Compound Annual Growth Rate (CAGR), projecting an increase from $63 billion to $109 billion by 2032. As AI, driven by data, takes center stage in knowledge acquisition, AI companies are positioned to emerge as the foremost consumers of data. Consequently, there is a growing demand among AI companies for a broader, cost-effective, and top-notch data supply.
Addressing this need is Ta-da, an application designed to facilitate the creation of customized datasets for training AI models. This ensures that AI agents receive high-quality data, thereby contributing to the enhancement of their capabilities.
This month's project review will cover everything from the founding team behind Ta-da to how the app works and its token economy.
What is Ta-da
Ta-da is the first Talk-to-Earn Web3 app and digital marketplace to connect businesses with individuals to earn tokens via recording voice data. The project evolved from Vivoka, a French-based AI company focusing on voice technologies.
The project's live Beta app uses gamification to crowdsource and gather voice data from various users, which is then stored and authenticated on the blockchain. To date, 5K users have completed 2.5K tasks on the app.
The Ta-da app has three essential “users”: Companies, Producers, and Checkers. These three users go through the following steps on the app:
How the App Works:
- A company submits a “job” on the Ta-da app (for example, it needs data to train its voice assistant).
- Ta-da splits the “job” into micro-tasks sent to individual producers.
- The producer completes the micro-tasks by recording their voice, and for security reasons, it is sent to the checkers.
- The checkers ensure the producers have recorded quality data and vote for the validity of the data.
- If the data is valid, the producers and the checkers are paid via the native token $TADA; the data is then sent to the original company that requested the “job.”
Ta-da works directly with companies with several Data needs. Given that the project stems from Vivoka, an AI protocol focused on voice technologies, Ta-da has been building its voice feature on the app, catering mainly to companies needing data to train AI Voice agents (for example, Siri, Alexa, etc.).
Ta-da has already implemented the following features:
- Voice Data Production and Verification: As previously mentioned, Ta-da allows users to generate and verify voice data sets to enhance voice recognition systems and smart assistants.
- Image Labeling: Ta-da offers several image labeling methods to aid in training computer vision models, including:
- Image Classification: Categorizing entire images (for example, distinguishing "cat" from "dog").
Fundraising
Ta-da has a strong board of advisors, including Hasheur, CEO of Meria, Luc Julia, creator of Apple’s Siri, and Morningstar Ventures CEO Danilo S. Carlucci. Regarding funding, in 2021, Morningstar Ventures incubated Ta-da, leading its seed round in early 2022. Throughout 2023, MultiversX became the protocol’s underlying chain and ecosystem, co-leading Ta-da’s private round together with Morningstar Ventures.
The capital raised will help the project develop its infrastructure and expand its AI data marketplace and app – powered by MultiversX technologies. Other investors include X Ventures, GBV Capital, Alpha Protocol, Spark Digital Capital, and NXGEN Capital.
Gamification and In-App Token Economy
Ta-da is a Web3 application that employs a Talk-to-Earn model, linking individuals with businesses to earn tokens by recording voice data. Using gamification, the app engages a diverse user base to crowdsource and collect voice data, storing and verifying it on the blockchain. The tokens earned are distributed through a prize pool system, fostering a spirit of healthy competition among users.
The token economy of Ta-da heavily integrates gamification to motivate users. Upon registration, new users are introduced to a customizable robot named Tadz. Users can personalize their Tadz with various items, some for self-expression and aesthetics, while others serve practical purposes to enhance earnings within the application. Beyond individual customization, Tadz also fulfills a social role by allowing users to access statistics, compare with others, and explore new objects and features.
The app employs a league system to incentivize users further, fostering healthy competition. Additionally, users earn experience points (XPs) as they complete tasks, facilitating their progression, leveling up, and acquiring additional skills. The different skills include:
- Endurance: Increases the user's maximum energy level. For example, all users start with a 100-point energy bar. By allocating a skill point to this attribute, the user could have a 120-point energy bar.
- Agility: Allows the user to gain multiple skill points when leveling up.
- Luck: Enhances the user's chance of looting items and gifts when performing tasks.
What’s Next for Ta-da
Concerning the product, Ta-da intends to function in three domains: Voice, Computer Vision, and Text. However, recognizing the increasing demand for natural language processing data, the team initially prioritized development in the "Voice" domain. The team will also be focusing on the development of its AI Marketplace.
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Learn more about Ta-da:
🌐 Official website: https://ta-da.io/
🐦 Official Twitter: https://twitter.com/Ta_da_io
📜 Whitepaper: https://docs.ta-da.io/introduction/overview
🕹️ Discord channel: https://discord.com/invite/MYFuBj9VS4
