Ta-da

Ta-da was founded on the principle that AI builders should have access to better quality data at fair prices, a principle born from the founders' own frustrations with the datasets available on the market for training AI machine learning models. The platform innovates the traditional technique of crowdsourcing to collect and validate data through a global community, specializing in voice recordings, images, videos, text, and labeling to meet diverse data collection needs.

The mission of Ta-da is to provide companies with the ability to have more accurate AI models by offering custom datasets collected and validated by a worldwide community. This approach not only ensures the diversity and quality of data but also makes the process cost-effective and scalable. For users, Ta-da offers an easy and fun way to earn money by completing tasks, redefining work on the go and engaging a community in meaningful data collection activities.

Ta-da's vision extends to various applications, from handling large video streams and functioning across different regions to building AI for e-commerce and reducing the word error rate of speech recognition AI. By leveraging a community that is "literally everywhere," Ta-da ensures that data can be collected and verified from any required location, making it a versatile and powerful tool for AI development across industries.