Otter.ai's Voice AI Vision: A 10-Year Bet

Shakespeare never left a voice note, and Sam Liang, the Co-founder and CEO of Otter.ai, sees that as a lost opportunity for human knowledge. It’s this gap in voice documentation that Liang has spent over a decade aiming to bridge. A bold bet on voice technology, once regarded as far-fetched, now boasts 35 million users and $100 million in annual recurring revenue (ARR).

Liang's journey with Otter.ai began in 2016, when recording meetings was seen as intrusive and sharing notes, unconventional. Despite the skepticism, Liang was convinced that voice would become the primary interface for business intelligence. "Although human beings have been talking with each other for hundreds of years, most of the voice knowledge in history has been lost," Liang remarks, highlighting the potential for voice AI to revolutionize how information is captured and shared.

Building from Scratch

In an era where startups have access to a buffet of third-party APIs, Liang's decision to build Otter.ai's speech recognition capabilities from scratch might seem counterintuitive. Yet, it was this choice that set Otter apart in a crowded market. "If you use a third-party API, you have to pay them a lot of money," Liang explains, emphasizing how owning their technology allowed Otter to keep costs low and services accessible. In a world where any college student could cobble together a note-taking app with off-the-shelf tools, Liang knew that deep technological roots were essential for differentiation.

This approach wasn't without its risks. Competing with tech behemoths like Google and Microsoft, which had far greater resources, was daunting. "What if Google or Microsoft catch up fast?" was a persistent concern. But for Liang, the potential rewards outweighed the risks. "When we decided to build our own speech recognition technology, we didn’t know how long it would take," he admits, underscoring the uncertainty inherent in pioneering new tech.

Voice as the New Interface

Liang envisions a future where voice technology transcends traditional writing as the main interface for business intelligence. "People will rarely write anything; they can just talk because talk is easier than writing," he predicts. As AI continues to mature, the reliance on keyboards could diminish, replaced by systems capable of transcribing and understanding spoken language with precision.

The implications for education and business are significant. Liang criticizes traditional educational frameworks for resisting AI tools like Otter.ai, which he believes can enhance learning and knowledge retention. "The way we do education was created at least 100 years ago," he points out, advocating for a more modern approach that embraces technological advancements.

The Marathon of Startup Life

Liang likens building a startup to running a marathon—a feat he knows well, having completed 11 marathons himself. "Most people give up pretty fast," he observes, drawing parallels between the endurance required in both pursuits. The journey demands persistence and adaptability, qualities that have been integral to Otter.ai's growth.

Despite its success, Liang acknowledges that the majority of the world has yet to adopt tools like Otter.ai. "At least 95%, or even higher, haven't adopted a tool like Otter yet," he notes, suggesting that the real challenge—and opportunity—lies in the decade ahead. As voice technology continues to evolve, Liang’s bet is that it will become indispensable in the realm of business intelligence. Whether this vision comes to fruition remains to be seen, but with the groundwork laid, Otter.ai is poised to be at the forefront of this potential revolution.

By Jin Park