Vellum
End-to-end AI development platform with an agent builder, version control, testing and monitoring for production LLM apps.
Delv Safety Grade: C
Score 58/100 · assessed 2026-04-18
Vellum is a commercial LLMops platform from a venture-backed startup offering agent building, version control, and monitoring for production AI applications. The company appears legitimate with enterprise customers, but operates as a closed-source SaaS with no public repository or open-source components. As a no-code builder platform, it requires broad permissions to orchestrate LLM calls, manage workflows, and potentially integrate with external services. The lack of transparent code review, dependency visibility, or community audit creates supply chain opacity. Pricing requires contact, suggesting enterprise focus. No known security incidents, but the closed nature limits independent verification of security practices. Suitable for organisations comfortable with proprietary tooling and vendor lock-in, but transparency-conscious teams may prefer open alternatives.
Green flags
- Legitimate venture-backed company with enterprise customer base
- Purpose-built for production LLM operations with version control
- No known security incidents or breaches in public record
- Enterprise focus suggests professional security practices
Red flags
- No public repository or open-source code for independent security review
- Closed-source SaaS with opaque supply chain and dependency management
- Contact-only pricing suggests vendor lock-in risk for enterprise customers
- Broad platform permissions required for agent orchestration unclear
- Limited transparency into data handling and model access patterns
Permissions requested
Pricing
Platforms
Review
Worth it for non-technical teams shipping production agents with stable logic and evolving prompts. Skip it if you're comfortable writing code or need deep customisation. The no-code promise has a short shelf life.
Good at
- Version control and A/B testing for prompts is genuinely useful
- Monitoring dashboard shows failures and latency without custom instrumentation
- Non-engineers can iterate on agents without waiting for developers
- Handles retries and error logging out of the box
Watch out
- Visual builder becomes unmanageable with complex workflows
- Contact-only pricing likely means enterprise budgets
- Platform lock-in makes migration painful if you outgrow it
- Custom integrations still require code, breaking the no-code promise
- Conditional logic is clunky compared to writing actual code
Use cases
- agent prototyping
- prompt versioning
- production monitoring