Otter.ai Banks $320 Million to Become More Than a Transcription App

General Catalyst has handed Otter.ai $320 million to fund a pivot from real-time transcription into what CEO Sam Liang calls a "conversation knowledge engine." The Mountain View, California-based company announced the growth investment alongside three new features on Tuesday, all aimed at what Liang describes as "the whole meeting life cycle."

The timing matters. Eight years ago, Otter's pitch was simple: turn audio into readable text in real time, for free. In 2026, a chorus of competitors leverage AI to do exactly that. Otter's answer is to move up the value chain — from transcribing meetings to extracting insights, coaching participants and drafting follow-ups.

"A transcription was never the end goal," the company's new CMO, Alex Gay, said, relaying Liang's long-standing position. "The opportunity for us really is about what can you do when you capture all of that conversation across all the contexts that organizations need."

What are the three new features?

Otter introduced a package designed to reward organization-wide adoption rather than individual use. The features work across Zoom, Microsoft Teams and Google Meet.

• Pre-Meeting Brief: Otter automatically compiles a briefing from transcriptions of prior meetings plus data from whatever apps and tools an office connects through the platform's integrations.
• Live Assist: During calls, Otter offers context-aware help. Liang frames it as a "sales-call sidekick" that is "listening to the customer. It has all the background on the customer. It's trained on thousands of high-level sales calls in the past." Participants who also run a Live Assist agent will see an Otter notetaker in the meeting window; the company has not disclosed its full capabilities.
• Work Mode: After a call ends, Otter assembles a recap and helps execute follow-up tasks, including drafting emails.

The economics are straightforward. Otter offers a free Basic tier with usage limits, Pro at $99.96 per user per year — about $8.33 monthly — and Business at $239.88 per user per year, roughly $20 monthly. Enterprise pricing depends on deployment size and scale. Otter claims more than 40 million users but does not break down how many pay. That omission matters: the $320 million bet rests on converting an audience the company does not quantify.

Gay argues the features target predictable meeting failures — participants arriving unprepared, the wrong people in the room, follow-up tasks that never happen. The result, he says, is "this loop of having to have more meetings to just improve the productivity of the meeting." In plain terms: Otter wants fewer meetings, not better-transcribed ones.

Can Otter outrun its privacy problem?

The expansion lands while the company defends a class action lawsuit filed last year alleging its software "deceptively and surreptitiously" captured private conversations. Some security agents advise against AI notetakers entirely. State recording laws vary widely: California requires consent from all parties, while Virginia needs only one.

Gay acknowledged the concerns but maintained Otter does not repurpose customers' conversations for other uses. He said the company's model training is limited to speaker identification, not mining conversation content as some generative AI tools might. Otter also encrypts data at rest and in transit, he said.

Still, Gay conceded gaps remain. Otter already serves regulated industries including finance, but it lacks capabilities for organizations with zero-trust IT policies. "There's still new capabilities that we need to build," he said. Encryption alone does not satisfy the security-conscious customers Otter now courts.

Does transcription accuracy keep up?

Otter plans to expand language support beyond its current five — English, French, German, Spanish and simplified Chinese — while improving accent recognition. Gay, who speaks with a Scottish brogue, admitted accuracy can drop "when I get particularly Scottish or start to use colloquialisms." A knowledge engine that mishears regional speech inherits those errors at every stage of the meeting life cycle.

Asked whether Live Assist could run on connected glasses, Liang waved off the idea. "It's an interesting idea, but we're not doing it right now," he said, calling camera-equipped smart glasses "just too creepy." In a market where smartwatches, smart glasses and AI jewelry could listen by default, Otter's app-based approach may look dated — or, given the privacy lawsuit, deliberately cautious.

Gay raised the sharper question himself: do people censor themselves when they know they are recorded? He suspects the discomfort fades — "Eventually, it just becomes the norm and then people become relaxed" — but he framed the stakes in terms of who profits from recorded speech.

"Is it being used to the value of you, as the person that's being recorded? Or do you feel like it's just your words being taken to benefit someone else?"

Otter's next step, per Gay, is proving impact across two or three functional areas inside organizations before pitching company-wide context access. The $320 million gives it runway; the lawsuit and undisclosed paying-user count give buyers reasons to wait.