Tiptap vs Vellum
Side-by-side comparison of AI visibility scores, market position, and capabilities
Berlin YC S23 open-source collaborative editor toolkit at $2.3M revenue 2024 with 1.8M npm downloads/month; $2.6M Expa/YC seed serving LinkedIn/GitLab/Anthropic competing with Liveblocks for developer collaborative editing infrastructure.
About
Tiptap is a Berlin, Germany-based developer toolkit company — backed by Y Combinator (S23) with $2.6 million in seed funding in October 2023 led by Expa with Y Combinator and angels Dennis Just, Radu Spineanu, and Liz Wessel — providing developers and product teams with an open-source framework and cloud platform for building collaborative rich-text editing experiences (like Notion, Google Docs, or Confluence) into web applications, achieving $2.3 million in revenue in 2024 with a 15-person team and 1.8 million npm downloads per month. Serving customers including LinkedIn, GitLab, Axios, and Anthropic, Tiptap's open-source editor (built on ProseMirror) provides the content editing and real-time collaboration infrastructure that application teams need without building text editing technology from scratch. Founded in 2023 by Philip Isik, Nick Hirche, Sebastian Schrama, Sven Adlung, Timo Isik, and Patrick Baber.
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.
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