Review of Vellum AI
Vellum AI is an LLM development platform that enables product teams and developers to build complex AI applications without code redeployment. It combines a visual workflow editor, prompt engineering tools, systematic evaluation, and model management. Compatible with OpenAI, Anthropic, Google, and Cohere, Vellum allows teams to test agents in staging before production, collaborate across roles, and ensures SOC 2 Type II and HIPAA compliance. The free plan includes 50 builder credits per month with no credit card required.
Vellum AI: Construisez, testez et déployez des applications LLM sans friction grâce à un éditeur visuel et des évaluations automatisées.
Best for
- Developers building production-grade LLM applications
- Product teams iterating on prompts without code redeployment
- Regulated industries (healthcare, finance) requiring HIPAA and SOC 2
- AI startups needing a robust evaluation infrastructure from day one
- Technical teams collaborating on complex AI agent workflows
Not ideal for
- Non-technical users without LLM or development knowledge
- Projects with very low request volumes where the free plan suffices
- Purely creative use cases with no complex orchestration needs
- Teams looking for a plug-and-play tool with no configuration
Pros & cons
- ✅ No-code visual editor for building complex LLM workflows and pipelines
- ✅ Supports all major LLM providers (OpenAI, Anthropic, Google, Cohere)
- ✅ Automated evaluation suite for testing prompts and agents before production
- ✅ SOC 2 Type II and HIPAA compliant for regulated industries
- ✅ Multi-user collaboration with role-based access control
- ✅ Native Python/TypeScript code execution directly within workflow nodes
- ⚠️ The learning curve can be steep for non-developer profiles
- ⚠️ The free plan is limited to 50 builder credits and one user seat
- ⚠️ Workflow execution consumes credits based on request complexity
- ⚠️ Some advanced integrations are only available on Enterprise plans
Our verdict
Vellum AI stands out as one of the most comprehensive LLM orchestration platforms available for development teams. Its visual editor makes it possible to build complex workflows — LLM calls, code execution, map/reduce operations — without touching the application code, significantly accelerating iteration cycles. The multi-provider compatibility (OpenAI, Anthropic, Google, Cohere) offers rare flexibility and protects against vendor lock-in. Vellum's key differentiator lies in its systematic evaluation suite: prompt unit tests, out-of-the-box metrics, LLM-based evaluations, and custom metrics in Python/TypeScript. This rigorous testing approach is rare in the LLM tooling ecosystem. SOC 2 Type II and HIPAA compliance makes it a credible choice for regulated industries. The free plan (50 credits/month, 1 user) allows exploration without commitment. For teams with collaboration needs and higher volumes, paid plans starting at $25/month remain reasonable. The main limitation is its relative complexity for non-developer profiles, but for technical teams, Vellum represents solid and scalable infrastructure.
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FAQ
Is Vellum AI only for developers?
Vellum is primarily designed for developers and technical product teams. The visual editor simplifies workflow building, but familiarity with LLM concepts is recommended.
Which LLM models does Vellum support?
Vellum supports all major providers including OpenAI, Anthropic, Google, and Cohere, as well as additional models through custom integrations.
Is Vellum AI HIPAA compliant?
Yes, Vellum is SOC 2 Type II certified and HIPAA compliant, making it suitable for healthcare and financial services use cases.
How does Vellum's credit system work?
Credits are consumed when you use Vellum's builder to create and edit your agents. Workflow execution itself is included in every plan at no additional cost.
Can teams collaborate on Vellum?
Yes, Business and Enterprise plans support multiple users with shared workflows, version control, role-based access control, and separate staging and production environments.