David AI Raises $5M to Bring High-Quality Audio AI into the Mainstream

For decades, audio has been a cornerstone of human communication, enabling connection, understanding, and collaboration across the globe. But when it comes to interactions with artificial intelligence, audio has remained surprisingly underdeveloped. While text-based models like ChatGPT have demonstrated the transformative potential of AI, audio remains constrained by a lack of high-quality, diverse, and scalable data—a challenge David AI set out to solve just six months ago.

Founded by Tomer C. and Ben Wiley, David AI emerged with a mission to make audio as central to human-to-AI interaction as it is to human-to-human communication. Their vision? To provide model developers with access to the kind of high-quality, expansive audio datasets that could finally bring audio AI into the mainstream. Today, that vision takes a significant step forward as the company announces a $5 million seed round, led by First Round Capital, with participation from BoxGroup, Y Combinator, SV Angel, Liquid 2, and a distinguished group of angel investors.

Despite the rapid progress in AI over recent years, audio AI models have struggled to keep pace. Unlike text, where datasets like Common Crawl have democratized access to massive training corpora, audio data is fragmented, outdated, and woefully limited in scale.

“High-quality audio data is fragmented—there’s no Common Crawl for audio,” explains the David AI team. “It’s scarce in the right formats, and the most-cited multi-channel speech datasets in research are often hundreds of hours in duration, but they’re dated. Generating new audio data is even harder because you have to ensure content accuracy while also accounting for complex variables like acoustic properties, microphones, recording environments, languages, and localizations.”