The Core Difference
Vellum AI is a developer-focused LLMOps platform. It has strong prompt management, evaluation tooling, and versioning for production AI deployments inside a product.
Gumloop is a visual no-code workflow builder. Business users can build AI automations on a canvas without code.
Vellum is a tool for engineers. Gumloop is a tool for everyone else.
Vellum AI Strengths
Prompt management: first-class tooling for iterating, versioning, and comparing prompts.
Evaluation: built-in eval framework for measuring prompt quality.
Deployment: production-grade prompt and workflow deployments with rollback.
Developer experience: strong SDK, good docs, API-first approach.
Observability: tracing and logging for production AI.
Gumloop Strengths
Visual builder: drag-and-drop canvas that non-developers can use.
Templates: rich library of starting workflows.
AI-native: designed specifically for LLM workflows, not general automation.
Speed: ship your first working workflow in under an hour.
Collaboration: marketing, sales, and ops teams can all contribute.
Pricing
Vellum: from around $500/month. Enterprise pricing available.
Gumloop: from $97/month. Scales with execution volume.
Vellum is much more expensive but targets a different buyer: teams embedding AI into their own products.
Who Should Pick Vellum
You are building a product that uses LLMs and need production-grade prompt management.
Your team is technical: engineers, ML engineers, product managers comfortable with APIs.
You need evaluation tooling to measure and improve prompt quality.
You have a significant budget and need enterprise features.
Who Should Pick Gumloop
Your team is non-technical: marketing, sales, operations, founders without engineering support.
You want to automate internal workflows, not embed AI into a product.
You need results fast and cannot wait for engineering.
Your budget is mid-market, not enterprise.
Can You Use Both?
Yes, and some teams do. Gumloop for business workflows that the marketing team runs, Vellum for the LLM features embedded in your SaaS product.
They are not competitors in the strict sense. They are solving different problems for different users.
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Explore Agent Console HQFrequently Asked Questions
Not comparable directly. They solve different problems. Vellum for product teams, Gumloop for business teams. Pick based on your use case.
Vellum has visual tooling for prompts and workflows, but it is still targeted at technical users. Expect to write some code to integrate it into your product.
Yes, significantly. Gumloop starts at $97/month. Vellum starts around $500/month.
It can run production workflows, but it is not designed for AI features embedded inside your own SaaS product. For that, Vellum or similar developer-focused tools are better.
Vellum by a clear margin. Evaluation and prompt quality measurement is a core Vellum feature. Gumloop has basic testing but not the same depth.
Both. OpenAI, Anthropic, Google, and other major providers are supported on each.
A startup building an AI product: Vellum. A startup automating internal operations: Gumloop. A startup doing both: probably start with Gumloop and add Vellum when the product AI gets complex.