Vellum Workflows | No-code AI agent builder
Vellum's AI Workflows platform enables users to build, debug, and deploy AI agents through a no-code builder or low-code editor for automating high-impact use cases and powering customer-facing features.
Platform Overview
Vellum AI Workflows makes building AI agents easier than ever before. The platform allows users to build, debug, and deploy AI agents using either a no-code agent builder or low-code editor. Users can automate high-impact use cases, build agent teams, or power customer-facing features—all from one centralized platform.
Key Features
Agent Builder: Create AI agents, connect them to necessary tools, and debug them with natural language, enabling rapid development from idea to working agent in minutes.
Low-Code Editor: Build provider-agnostic graphs with nodes that call models, run Python/Typescript code, perform map/reduce on LLM output, and more.
Graph Builder: Develop any AI architecture from simple prompt pipelines to complex agentic workflows using Vellum's production-grade graph builder.
Deployment & Debugging: Deploy with one click to invoke Workflows via API and debug problematic requests with advanced trace views.
How It Works
Powerful Orchestration Layer: Model AI systems as intuitive graphs to improve visibility into their order of operations, bottlenecks, and failure modes.
Control Flow Architecture: Unique graph execution layer relies on Control Flow rather than Data Flow. Edges between Nodes define the order of operations, and Nodes can reference output of any upstream Node.
Error Handling: Framework for gracefully handling third-party errors by making it easy to retry LLM calls, fall back to other providers, and fail early when needed.
Advanced Capabilities: Native support for looping, recursion, parallel branch execution, and streaming to emit intermediate results in addition to final user-facing outputs.
System Composability
Workflows in Vellum are composable — once defined, they can be re-used as nodes in other parent workflows. This allows for defining shared tools and enforcing team-wide standards. Users can start from Vellum's library of pre-built tools and create their own as they go.
Deployment & Iteration
Vellum Evaluations allow users to perform assertions on intermediate results as well as final outputs. Once satisfied, users can deploy with one click to invoke their Workflow via API. Problematic requests can be debugged with advanced trace views.
Customer Testimonials
Pratik Bhat, Senior Product Manager, AI Product: Vellum made it so much easier to quickly validate AI ideas and focus on the ones that matter most. The product team can build POCs with little to no assistance within a week!
Max Bryan, VP of Technology and Design: We accelerated our 9-month timeline by 2x and achieved bulletproof accuracy with our virtual assistant. Vellum has been instrumental in making our data actionable and reliable.
Product Ecosystem
Prompting: Tools for effective prompt engineering
Orchestration: Current product focus - workflow and agent building
Evaluation: Testing and validating AI system performance
Retrieval: Document retrieval capabilities
Deployment: Tools for deploying AI systems
Monitoring: Tracking performance of deployed systems
Entities Involved
Company
Vellum
Provider of AI Workflows platform
Person
Nico Finelli
Sales representative at Vellum
Person
Aaron Levin
Solutions Architect at Vellum
Person
Noa Flaherty
CTO at Vellum
Person
Ben Slade
Sales representative at Vellum
Person
Akash Sharma
CEO at Vellum
Person
Pratik Bhat
Senior Product Manager, AI Product - customer providing testimonial
Person
Max Bryan
VP of Technology and Design - customer providing testimonial
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