For professionals and teams in back-to-back meetings, Otter.ai is an AI transcription assistant that captures notes from live calls or uploaded recordings, giving you a searchable record without manual note-taking.

Presence & Market Position

24
SOV Score

#48 of 103
GTM Developer Tools

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Otter.ai is positioning itself past transcription toward what it calls a conversational knowledge engine, a searchable layer over meeting data that other tools and agents can query rather than a standalone notetaker. That shift shows up in a growing agent suite built on the core recorder, including an autonomous agent for live sales demos and lead qualification. Conversation about the brand is rising and concentrated among sales and revenue operators: practitioners describe it as a call-review and coaching tool that surfaces missed objections and winning language, a building block for signal-based outbound plays, and a fixture in executive discussion of how AI is reshaping the CRO role.

Related brands
Customers

Amazon, Salesforce, IBM, Mastercard, NBCUniversal, Walgreens, Grant Thornton, MRI Software

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Business Profile

Otter.ai was founded in 2016 and has spent a decade moving from live meeting transcription toward a broader knowledge-and-agent product built on top of it. By its own account, the team grew from roughly a dozen people at founding to about 200 today. Its customer base now spans large enterprises, including IBM, Salesforce, Mastercard, and Walgreens, alongside individual professional users. The company crossed $100M in annual recurring revenue in March 2025, a milestone paired with the launch of its first autonomous meeting agents. It has raised roughly $63M in funding and remains an independent company, with no parent-company ownership.

Founded
2016
Employees
200
Funding
$63M
ARR
$100M+ ARR (Mar 2025)
Status
Independent
Scale stage
Growth
GTM Categories
Agent-Native GTMSelling
Key people
Co-Founder & CEO

Agent Readiness

82A
Agent Readiness
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Otter.ai has built an MCP server that lets Claude, ChatGPT, and other AI assistants search and pull directly from a user's meeting transcripts, summaries, and action items under OAuth-scoped permissions. On top of that data layer, the company has shipped its own vertical agents, starting with an SDR agent that runs autonomous product demos and qualifies leads, plus a recruiting agent for candidate review.

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