Vellum vs Extend
Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
San Francisco AI document processing using LLMs for enterprise data extraction from invoices, contracts, and forms; $17M Innovation Endeavors and YC-backed at multi-million ARR serving Brex and Square cash-flow positive.
About
Extend is a San Francisco-based AI document processing platform using large language models to provide accurate data extraction and document understanding for enterprise workflows — turning unstructured documents (invoices, contracts, medical records, financial statements, onboarding forms) into structured data at the accuracy and cost level that manual processing and traditional OCR cannot match at scale. Backed with $17 million raised in combined seed and Series A funding led by Innovation Endeavors with Y Combinator, Homebrew, and angel investors including Adobe's CSO and Vercel's CEO, Extend reached multi-million dollar ARR and cash-flow positive status serving customers including Brex, Square, Checkr, and multiple Fortune 500 companies.
AI Visibility Head-to-Head
Key Details
Capabilities & Ecosystem
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.