The future of voice technology depends on the quality of the data behind it. From AI assistants to real-time translation tools, the accuracy, inclusivity, and performance of these systems all come down to one thing: the voice datasets they’re trained on. But not all datasets are created equal. Many are scraped without consent, missing key dialects, or recorded in poor acoustic environments. We’ve spent years building some of the most trusted voice datasets in the world. Ethically sourced. Profes