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Vellum

Name: Vellum
Rating: 4.5 (312 reviews)

Build, test, and deploy production LLM applications without code redeployments

4.5(312 reviews)

Developer Tools

Quick buyer guide

Is Vellum right for you?

Use this section to decide whether Vellum belongs on your shortlist before you visit the vendor, request a demo, or start implementation planning.

Best for

Teams evaluating developer tools tools for a real business workflow.
Users who need build, test, and deploy production llm applications without code redeployments.
Businesses that already use or can connect OpenAI, Anthropic, Google Gemini.

Not ideal if

Organisations that need enterprise procurement, compliance, and dedicated support from day one.
Teams without a clear use case, owner, or success metric for the tool.
Businesses that cannot yet review data, privacy, permissions, and approval requirements.

Common use cases

Assist with coding, debugging, testing, documentation, and code review.

Improve developer productivity inside IDEs, repositories, and CI workflows.

Generate boilerplate, explain code, and speed up common engineering tasks.

Support teams adopting AI-assisted software development practices.

Implementation effort

Medium

Vellum should be tested on one focused workflow first, especially if it connects to existing business systems or customer data.

Pricing clarity

A free tier may be available, but useful business features often sit behind paid plans. Check limits, exports, integrations, and team controls.

Digital by Default verdict

Vellum is worth considering if you need developer tools capability and the core features match a real workflow. Treat it as a medium-effort adoption: shortlist it, compare alternatives, and test it on a small but realistic process before wider rollout.

Questions to ask before buying

1Can the tool access private repositories, and how is that access controlled?
2Does it fit your IDE, git, CI, and code review workflow?
3How does it handle security, licensing, and generated-code review?
4Can usage be governed across the team?
5What data is used for model improvement, if any?

Need an implementation view?

Get help choosing or implementing Vellum

Digital by Default can help compare alternatives, map the workflow, check data/privacy considerations, and plan a safe rollout.

Book a discovery call

About

Vellum is a development platform that gives product and engineering teams a structured way to build, evaluate, and ship production-grade LLM applications. Its visual workflow editor lets developers chain together model calls, Python or TypeScript code blocks, map-reduce operations, and external API nodes into testable pipelines that can be promoted to production without touching application code. The built-in evaluation suite covers prompt unit tests, out-of-the-box quality metrics, LLM-as-judge scoring, and custom Python evaluators, so teams can catch regressions before they reach users. Vellum supports all major model providers—OpenAI, Anthropic, Google, and Cohere—through a unified interface and holds SOC 2 Type II and HIPAA certifications for enterprise and healthcare deployments.