Vellum is a platform for building, testing, evaluating, and deploying AI assistants and LLM-powered workflows.

Who should use Vellum?

Vellum is best for product and engineering teams building structured AI workflows, internal assistants, and customer-facing AI features.

Can Vellum evaluate prompts?

Yes. Vellum provides evaluation and testing workflows that help teams compare AI behavior before deploying changes.

Does Vellum support AI agents?

Vellum supports structured AI workflows and assistant-style applications that can incorporate tools and multi-step logic.

Is Vellum self-hostable?

Vellum has offered self-hosting or private deployment options for teams with stronger infrastructure and data-control requirements.

What should teams consider?

Evaluate workflow complexity, provider costs, deployment requirements, observability, and how Vellum fits existing engineering processes.

Vellum AI

Name: Vellum AI
Brand: Vellum AI

AI workflow and assistant platform for building, testing, and deploying LLM apps.

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What is Vellum AI?

TL;DR

Vellum AI is a platform for building, testing, and deploying AI assistants and LLM workflows, combining prompt development, evaluation, workflow orchestration, and production infrastructure for teams.

Build and configure AI assistants and workflows
Use pay-as-you-go credits for AI operations
Deploy with custom assistant email and subdomain

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About

Vellum AI is a platform for building, configuring, and deploying AI assistants and LLM-powered workflows. It helps builders create assistant-style applications, connect model capabilities, manage processing resources, and ship AI experiences without building the entire runtime and deployment layer manually. The product is useful for founders and developers creating internal assistants, workflow copilots, AI-powered business tools, support workflows, and custom AI apps that need more structure than a basic chatbot. Vellum combines hosted assistant infrastructure with configurable compute, storage, and usage-based credits. Vellum also offers a self-hosting route for teams that want more control over their data, keys, and deployment environment. This makes it relevant for developers who want flexibility between managed cloud and private infrastructure. For FutureStack, Vellum fits in AI Agents because it supports real AI workflow and assistant creation. It is best for SaaS builders, technical founders, and developers who want to move from prompt experiments to deployed assistant products with pricing tied to compute and credits.

Use Cases

AI Workflow Building

Design and connect LLM prompts, tools, logic, and application steps into structured AI workflows.

AI Evaluations

Test prompts and workflow outputs against examples before deploying changes to users.

Assistant Development

Build internal or customer-facing assistants with configurable AI workflows and production infrastructure.

Prompt Iteration

Develop, compare, and improve prompts and AI behavior using structured testing workflows.

Key Features

Build and configure AI assistants and workflows
Use pay-as-you-go credits for AI operations
Deploy with custom assistant email and subdomain
Self-host open-source assistant when control matters

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