📘 Overview of Vellum AI
👉 Summary
Building applications powered by large language models has become a strategic priority for many companies, but it comes with real challenges: prompt management, rigorous testing, reliable deployments, and collaboration between technical and product teams. Vellum AI was built to address these challenges head-on. This LLM development platform provides a complete environment for designing, testing, and deploying AI applications at scale. By combining a no-code visual editor with an automated evaluation suite, Vellum enables teams to iterate quickly on their agents and workflows without redeploying application code. Compatible with all major LLM providers and certified SOC 2 Type II and HIPAA, Vellum serves both AI startups and enterprises operating in the most regulated industries.
💡 What is Vellum AI?
Vellum AI is an LLM orchestration and development platform for technical teams. It allows users to build complex AI workflows through a visual editor where each node can represent an LLM call, Python or TypeScript code execution, a map/reduce operation, or an external API integration. Workflows can be tested in a staging environment before being deployed to production. Vellum also includes a prompt management library for versioning and comparing prompt variations, along with an evaluation suite to measure LLM output quality using predefined or custom metrics.
🧩 Key features
Vellum offers a visual workflow editor that lets teams build LLM-powered applications without modifying source code. Available nodes cover LLM calls, arbitrary code execution, conditional logic, API integrations, and document knowledge retrieval. The prompt engineering module includes a comparison editor, multi-turn chat support, and function calling capabilities. The evaluation suite provides out-of-the-box metrics, LLM-based assessments, and custom metrics written in Python or TypeScript. Multi-environment management with staging and production environments, plus version control, streamlines deployment cycles. Business and Enterprise plans add multi-user collaboration with role-based access control, dedicated Slack support, and compliance certifications.
🚀 Use cases
Vellum is particularly suited for teams building advanced chatbots, automated content generation pipelines, document retrieval agents, or question-answering systems on proprietary data. Product teams use it to test prompt variations and measure their impact on response quality without involving developers. Healthcare and finance companies adopt it for its compliance guarantees. AI startups choose it to accelerate product development cycles by having an evaluation infrastructure from day one.
🤝 Benefits
Vellum significantly reduces the time required to move from LLM prototype to production application. The visual editor allows iterating on workflows without touching code, freeing developers for higher-value tasks. The automated evaluation suite reduces the risk of regression when updating models or prompts. Multi-provider compatibility makes it easy to switch between models based on performance and cost. SOC 2 and HIPAA compliance removes adoption barriers in regulated industries.
💰 Pricing
Vellum offers a free plan with 50 builder credits per month, one user seat, hosted agent apps, a debugging console, and a document knowledge base supporting up to 20 documents, with no credit card required. Paid plans start at $25/month and include more credits, multiple users, and advanced collaboration features. Business and Enterprise plans add role-based access control, separate staging/production environments, and higher-tier support. Enterprise plans offer custom credit bundles, dedicated server sizing, Slack support, and custom DPA/BAA contracts.
📌 Conclusion
Vellum AI is a reference platform for teams serious about building production-grade LLM applications. Its combination of visual editor, rigorous evaluations, and regulatory compliance makes it a solid choice for any ambitious AI project. For technical teams looking to industrialize their AI workflows, Vellum represents a foundational and scalable investment.
