End-to-end platform for building, evaluating, and deploying LLM-powered applications.
Vellum is an LLM development platform that lets product and engineering teams prototype prompts, chain them into visual agentic workflows, and ship them to production with versioning, evaluations, and monitoring. It supports multiple model providers, semantic search over company documents, regression testing against test banks, and side-by-side model comparison. Founded in 2023 and backed by $24.5M in venture funding, it serves teams that want rigor and speed in enterprise AI development.
| Pricing | Freemium |
|---|---|
| Category | Coding & Development |
| Platforms | web, api |
| Company | Vellum |
| Official website | www.vellum.ai |
The right coding tool depends on where you write code and how much of your codebase it can understand. IDE integration is the first filter — a tool that lives in your editor, sees your project files and respects your stack will help far more than a general chatbot you paste snippets into. Look for accurate completions, clear explanations of suggested changes, and strong refactoring and debugging support for your main languages. Privacy deserves real attention: check whether your code is used for training, and whether a self-hosted or enterprise option exists for sensitive projects. Price against the hours it actually saves — most developers feel the difference within the first week of real use.
Vellum is an LLM development platform that lets product and engineering teams prototype prompts, chain them into visual agentic workflows, and ship them to production with versioning, evaluations, and monitoring. It supports multiple model providers, semantic search over company documents, regression testing against test banks, and side-by-side model comparison. Founded in 2023 and backed by $24.5M in venture funding, it serves teams that want rigor and speed in enterprise AI development.
Vellum offers Prompt engineering with versioning, Visual workflows builder for agentic multi-step pipelines, Quantitative evaluations and regression testing, Production monitoring and observability dashboard, Semantic search and document indexing (RAG), Multi-provider LLM support with provider-agnostic API and SDKs for Python and TypeScript.
Vellum follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.
Strengths of Vellum include Collaborative environment for technical and non-technical teammates; Evaluation-first approach catches regressions before deployment; Provider-agnostic design avoids model lock-in. On the downside, Aimed at teams, with more than a solo builder needs; Learning curve for evaluation and workflow concepts; Costs scale with usage across providers.
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Limitation: Latency and throughput figures are the company's own benchmarks, not independent measurements
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Limitation: Requires git and an authenticated pi provider — it does not work without them
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Best for: AI agent developers who need fast, light browser fetching, extraction and automation
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Limitation: Full visual capabilities need the --layout flag
