Overview
Vellum AI is an end-to-end development platform designed to streamline the creation, deployment, and monitoring of AI-powered applications using large language models. The platform bridges the gap between technical and non-technical team members, offering both visual workflow builders and code-first development tools.
Aimed at product teams, AI engineers, and operations professionals, Vellum enables rapid prototyping and production deployment of AI agents, chatbots, data extraction pipelines, and automated workflows. It provides comprehensive tooling for prompt engineering, evaluation, version control, and observability, allowing teams to iterate quickly while maintaining production-grade reliability.
Vellum states it maintains SOC 2 Type II compliance and is HIPAA compliant, making it suitable for organizations handling sensitive data across healthcare, finance, and other regulated industries.
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Key Features
Visual Workflow Builder — A no-code to low-code interface that lets non-engineers design and test AI workflows, while supporting deeper customization for technical teams who need advanced control.
Workflows SDK — Develop AI systems with a type-safe, declarative Python framework that offers bi-directional synchronization between code and visual editor, supporting loops, conditionals, parallelism, and native streaming capabilities.
Prompt Engineering Playground — Experiment with prompts and compare outputs side-by-side across models from multiple providers such as OpenAI, Anthropic, Google, and various self-hosted options; supported integrations evolve regularly.
Evaluation & Testing Framework — Run automated test suites with custom metrics to validate AI system quality at scale before deployment, tracking performance across iterations.
Deployment & Version Control — Deploy workflows and call them via Vellum's API with version control; concurrency and workflow server capacity vary by plan, with enterprise offering custom sizing.
Production Monitoring — Provides execution logs and observability tools that capture inputs, outputs, and key metrics like latency and cost where available, enabling rapid identification of issues in production.
Enterprise Security — SOC 2 Type II compliance and HIPAA compliance maintained across all plans; Enterprise plan emphasizes BAA support, VPC deployment options, configurable data retention policies, and role-based access controls.
Pricing & Plans
| Plan | Price | Users | Builder Credits | Key Features |
|---|---|---|---|---|
| Free | $0/month | 1 | 50 | Hosted agent apps, debugging console, knowledge base (20 documents) |
| Pro | $25/month | 1 | 200 | All Free features, knowledge base (1,000 documents), 3GB execution history |
| Business | $50/month | Up to 5 | 500 | All Pro features, 10GB execution history |
| Enterprise | Custom | Unlimited | Unlimited | RBAC, SSO, environments, prompt management, VPC installation, dedicated support |
All plans include access to the visual workflow builder and debugging console. Credits are consumed when you chat with Vellum to build and edit agents; workflow execution is included in all plans and does not consume credits. The Free plan requires no credit card and allows immediate access to core features.
Enterprise customers receive custom setup, dedicated AI expert support, and flexible infrastructure options including VPC deployments for maximum data control. Pricing and plan details change frequently; confirm on Vellum's official pricing page.
Best For
- AI product teams building customer-facing LLM applications who need to collaborate across technical and business stakeholders
- Enterprises in regulated industries requiring SOC 2 Type II or HIPAA compliance for handling sensitive healthcare or financial data
- Engineering teams wanting type-safe workflow development with version control and automated testing capabilities
- Operations teams automating complex business processes with AI agents that require monitoring and debugging tools
- Startups prototyping AI features rapidly with the free plan before scaling to production with managed infrastructure
FAQ
Is there a free plan available?
Yes, Vellum offers a free plan with 50 builder credits per month, one user seat, hosted agent apps, debugging console, and a knowledge base supporting up to 20 documents. No credit card is required to start using the platform.
What LLM providers does Vellum support?
Vellum integrates with major LLM providers such as OpenAI, Anthropic, Google, and Cohere. The platform adds and updates model integrations over time through various hosting options including Azure OpenAI, Fireworks, Perplexity, and Cerebras. Availability may depend on your configured credentials and plan; check Vellum's documentation for the latest supported models.
Can I use my own API keys for LLM providers?
Yes, you can bring your own provider API keys for direct control over costs and usage. Vellum also supports overriding Vellum-provided credentials where applicable, giving you flexibility in how you configure model access.
Is Vellum HIPAA compliant?
Yes, Vellum is both SOC 2 Type II and HIPAA compliant. Enterprise customers can sign a Business Associate Agreement (BAA) for handling protected health information, and the platform offers configurable data retention and VPC deployment options for additional security.
Can I deploy Vellum in my own infrastructure?
Yes, Enterprise customers can opt for VPC (Virtual Private Cloud) deployments and managed deployment options including on-premises configurations. These options allow Vellum to operate within your own infrastructure for maximum data control and security, with custom pricing and setup required.
How does pricing work for API calls to LLM providers?
Vellum's subscription covers platform features and credits for building agents. Model usage costs depend on how you configure model credentials, such as your own Azure OpenAI or other hosted endpoints. Confirm billing responsibility based on your selected provider and credential setup.
Does Vellum support team collaboration?
Yes, the Business and Enterprise plans support multiple users with collaborative features including shared workflows, version control, role-based access controls, and environments for staging and production. Non-technical team members can contribute using the visual interface while engineers work in code.
Can I migrate existing prompts and workflows to Vellum?
Yes, Vellum supports incremental migration by allowing you to evaluate outputs from functions hosted outside Vellum. You can gradually move prompts and workflows into Vellum while tracking consistency, using the platform's evaluation framework to ensure quality during the transition.
