Relay.app vs Otter.ai
Side-by-side comparison of AI visibility scores, market position, and capabilities
Human-in-the-loop workflow automation; $35M Series A from a16z and Khosla (Mar 2025); connects 100+ apps with embedded human approval steps for AI-human collaboration. Founded 2021, SF.
About
Relay.app is a human-in-the-loop workflow automation platform founded in 2021 in San Francisco. The company was built around the insight that fully automated workflows break down at the edges — when decisions require human judgment, context that only a person has, or approval before an irreversible action. Relay.app's core design principle is that AI agents and humans should collaborate in workflows rather than the AI operating autonomously.\n\nThe platform connects to 100+ applications including Salesforce, HubSpot, Slack, Gmail, Notion, and Airtable, enabling teams to build complex cross-app automations with embedded human checkpoints — approval steps, form fills, and manual decisions that slot naturally into otherwise automated flows. Relay.app's AI agents can draft content, classify data, extract information from documents, and make routing decisions, with humans stepping in only where judgment is needed. Target users are operations, revenue, and customer success teams at mid-market B2B companies.\n\nRelay.app raised a $35 million Series A in March 2025 co-led by Andreessen Horowitz and Khosla Ventures, validating its human-in-the-loop positioning in a market increasingly crowded with fully autonomous automation tools. The funding has accelerated the expansion of its AI agent capabilities and integration library. Relay.app competes with Zapier, Make, and newer AI automation platforms but differentiates through its thoughtful balance between automation efficiency and human oversight.
AI meeting transcription platform hit $100M ARR in Mar 2025; 25M+ users; $500K revenue per employee; launched enterprise API and MCP server in Oct 2025
About
Otter.ai is an AI meeting intelligence platform founded in 2016 by Sam Liang and Yun Fu in Mountain View, California. The company was built on the insight that conversations and meetings are the most information-dense and least captured medium in the modern workplace — and that real-time AI transcription could transform how teams capture, search, and act on spoken knowledge. Otter's initial product was a live transcription application that produced searchable, speaker-attributed transcripts of meetings, calls, and voice notes with significantly higher accuracy than existing dictation tools.\n\nOtter's platform has evolved into a full meeting intelligence system that includes real-time transcription, AI-generated meeting summaries, action item extraction, a meeting chatbot for querying transcript content, and integrations with Zoom, Google Meet, and Microsoft Teams. Enterprise features include custom vocabulary, team workspaces, compliance-grade data retention, and an API for embedding Otter's transcription capabilities into third-party applications. In October 2025, Otter launched an enterprise API and an MCP (Model Context Protocol) server, enabling AI agents to query and act on meeting intelligence programmatically.\n\nOtter.ai hit $100M ARR in March 2025, a milestone achieved with 25M+ users and a notably lean cost structure of approximately $500K in revenue per employee. The company has remained privately held and has not disclosed a primary capital raise, operating profitably at scale. Otter competes with Fireflies.ai, Fathom, and Zoom AI Companion in the meeting intelligence market, with its long operating history, transcript search quality, and enterprise integrations as primary differentiators.
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