Fathom vs Vellum
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI meeting assistant recording and summarizing Zoom/Meet/Teams calls; $16M revenue with $17M Series A backed by Zoom's Apps Fund competing with Otter.ai and Fireflies.ai.
About
Fathom is an AI meeting assistant that automatically records, transcribes, and summarizes video meetings — providing structured meeting notes, action item extraction, and searchable transcripts for Zoom, Google Meet, and Microsoft Teams meetings without requiring the human participant to take notes during the call. Founded and a Y Combinator W21 graduate, Fathom raised $21.8 million including a $17 million Series A in September 2024 led by Telescope Partners, generating $16 million in revenue in 2024 with backing from early Zoom investors Maven Ventures, Bill Tai, and Zoom's Apps Fund.\n\nFathom joins meetings as a bot participant that records audio and video, produces a timestamped transcript with speaker identification, and uses AI to generate a structured summary organized by topic with highlighted key decisions, action items, and important quotes. The integration with CRM systems (Salesforce, HubSpot) allows sales calls to automatically populate contact notes and activity records. The freemium model (free personal tier with unlimited recordings and AI summaries) has driven wide adoption, with revenue coming from team plans and CRM integrations.\n\nIn 2025, Fathom competes in the AI meeting assistant market with Otter.ai (transcription), Fireflies.ai, Gong (sales intelligence), and Chorus (ZoomInfo) for meeting intelligence and documentation. The AI meeting assistant category has grown rapidly as remote and hybrid work normalized video meetings and made comprehensive note-taking increasingly burdensome. Fathom's free tier has driven significant organic growth through individual adoption that converts to team plans. The 2024 Series A from early Zoom investors signals strong conviction about the meeting intelligence category growing with the video meeting ecosystem. The 2025 strategy focuses on deepening CRM integrations for sales team value, growing team and enterprise subscriptions, and expanding AI analysis capabilities to identify coaching opportunities and deal risks from meeting content.
LLM application development platform with prompt management, evaluation, and RAG workflows; structured AI feature development competing with LangSmith and Weights & Biases Prompts.
About
Vellum is an AI product development platform providing prompt management, model comparison, workflow orchestration, and production monitoring tools for engineering and product teams building LLM-powered applications — enabling teams to iterate on AI features with rigorous evaluation frameworks rather than ad-hoc prompt tweaking. Founded in 2023 by Andrew Kirima and Noa Flaherty in San Francisco, Vellum has raised approximately $12 million and targets AI-forward product teams at growth companies who need structured workflows for LLM feature development, testing, and deployment.\n\nVellum's platform covers the LLM application development lifecycle: Prompt Workshop for managing and versioning prompt templates with variable substitution, Evaluations for testing prompts against datasets to measure output quality before deployment, Document Index for building RAG (retrieval-augmented generation) pipelines with semantic search over enterprise documents, and Workflows for orchestrating multi-step AI pipelines with branching logic and human-in-the-loop review steps. The monitoring dashboard tracks production LLM performance, latency, and cost across models.\n\nIn 2025, Vellum competes in the rapidly growing LLM development tools market against LangSmith (LangChain's commercial platform), Weights & Biases Prompts, Helicone, Braintrust, and Humanloop for AI application observability and evaluation. The market has grown explosively as companies productionize LLM features and need rigorous quality control processes. Vellum's differentiation is its end-to-end workflow — from prompt development through evaluation to production monitoring — in a single platform rather than requiring separate tools for each stage. The 2025 strategy focuses on expanding workflow complexity support (longer multi-agent pipelines), growing enterprise adoption with SSO and access controls, and adding AI-powered evaluation that automatically judges output quality.
AI Visibility Head-to-Head
Key Details
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.