Vellum AI: Build, Evaluate, and Deploy Enterprise-Grade AI Agents

Vellum AI

3.5 | 328 | 0
Type:
Website
Last Updated:
2025/10/04
Description:
Vellum AI is an LLM orchestration and observability platform to build, evaluate, and productionize enterprise AI workflows and agents with a visual builder and SDK.
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AI agent orchestration
low-code AI
AI automation platform
enterprise AI
LLM workflows

Overview of Vellum AI

Vellum AI: The Platform for Building Enterprise-Grade AI Agents

Vellum AI is an all-in-one platform designed to help teams build, evaluate, deploy, and monitor AI agents and automations. It enables engineers, product managers, and domain experts to collaboratively develop AI solutions using a low-code editor, agent builder, or SDK. Vellum AI focuses on improving AI delivery speed, accuracy, and reliability, making it ideal for businesses looking to transform their operations with AI.

What is Vellum AI?

Vellum AI is an LLM orchestration and observability platform that helps teams build, evaluate, and productionize AI workflows and agents. It provides a suite of tools that allows users to define, evaluate, and monitor AI agents in one unified platform, enhancing team collaboration and accelerating AI development.

How does Vellum AI work?

Vellum AI simplifies the process of building and deploying AI agents through several key features:

  • Agent Orchestration: Offers a low-code editor, agent builder, and SDK for AI development, allowing diverse teams to contribute to AI projects.
  • Evaluation: Provides quantitative metrics to measure the quality, cost, latency, and reliability of AI agents before deployment.
  • Deployment: Decouples AI updates from application releases with native release management and environments.
  • Monitoring: Offers full visibility in production using trace and graph views to quickly identify edge cases and areas for improvement.

Key Features and Benefits

  • All-in-one Platform: Build, evaluate, and deploy automations, RAG (Retrieval-Augmented Generation), and multi-agents in one platform.
  • Low-Code Editor: Enables non-engineers to contribute to AI development.
  • Quantitative Evaluation: Measure AI agent performance across multiple metrics.
  • Native Release Management: Decouple AI updates from application releases.
  • Full Visibility in Production: Monitor AI agent performance with trace and graph views.
  • Customizable: Write reusable logic using custom defined nodes and get full control over your runtime by bringing system-level dependencies with Custom Docker images.
  • Advanced Agentic Tooling: Support for loops with state snapshotting and forking, allowing for full reproducibility of the complex cyclic behaviors found in agentic systems.

How to use Vellum AI?

  1. Define: Use the low-code editor or SDK to define your AI agent’s behavior and logic.
  2. Evaluate: Quantitatively measure the agent’s performance using various metrics.
  3. Deploy: Release the AI agent to production, decoupling updates from application releases.
  4. Monitor: Track the agent’s performance in real-time and identify areas for improvement.

Use Cases

Vellum AI can be applied across various industries and business functions:

  • Document Processing & Routing: Automatically extract, classify, and route information from emails, forms, and contracts.
  • Customer Support Automation: Provide instant responses to inquiries and escalate complex cases to human staff.
  • Finance & Accounting Automation: Automate invoice processing, expense approvals, and reconciliation tasks.
  • HR & Employee Services: Streamline onboarding, benefits questions, and internal policy guidance.
  • Compliance & Audit Monitoring: Continuously track regulatory requirements and generate compliance reports.
  • Sales & CRM Automation: Update CRM records, qualify leads, and prepare account summaries.
  • Knowledge Management: Organize meeting notes, emails, and documents into searchable knowledge bases.
  • Legal and Compliance Ops: AI agents can act as the first line of review for incoming legal requests, summarizing contracts, highlighting unusual clauses, and routing issues to the right attorney or compliance officer.

Why Choose Vellum AI?

Vellum AI helps improve AI initiatives with cross-team input and secure development. Its easy-to-start interface allows users to build AI automations with pre-built nodes, test prompts, call tools, perform RAG, and build any AI automations at scale. The platform's customizable nature allows users to write reusable logic using custom defined nodes and get full control over your runtime by bringing system-level dependencies with Custom Docker images.

Who is Vellum AI for?

Vellum AI is designed for:

  • Product-led companies
  • Global enterprises
  • Major service providers
  • Engineers
  • Product managers
  • Domain experts

Customer Success Stories

  • 80% of AI improvements handled by non-engineers: One company created dozens of AI workflows covering patient and provider calls, resulting in same-day improvements and higher patient trust.
  • 50% Faster AI delivery: Rentgrata cut their 9-month timeline nearly in half and achieved bulletproof accuracy with their virtual assistant.
  • 10x Reduction in AI optimization cycles: Redfin saw a 15–30% lift in business operations by quickly evaluating prompt designs and workflows.

Pricing

Please refer to the official website for detailed pricing information.

In summary, Vellum AI is a versatile platform that empowers organizations to build, deploy, and manage AI agents efficiently. Its comprehensive feature set, ease of use, and focus on collaboration make it a valuable tool for businesses looking to leverage AI to improve their operations.

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