Vellum
Vellum is a comprehensive AI development platform that enables users to build, deploy, and manage production-grade AI applications and agents through intuitive workflows, prompt engineering, and integration with various tools without extensive coding.
https://www.vellum.ai/?ref=producthunt
Product Information
Updated:Jan 15, 2026
Vellum Monthly Traffic Trends
Vellum received 304.6k visits last month, demonstrating a Slight Growth of 1.5%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Vellum
Founded in 2023 by Noa Flaherty, Sidd Seethepalli, and Akash Sharma, Vellum is an end-to-end development platform designed to help companies take their AI products from early-stage ideas to production-grade features. It's not just a single tool, but rather a suite of different products that assist with various AI-related tasks including prompt engineering, model versioning, LLM applications, semantic search, and performance monitoring. The platform is particularly focused on making AI development accessible to both technical and non-technical team members while maintaining professional-grade capabilities.
Key Features of Vellum
Vellum is an AI development platform that helps teams build, deploy and manage LLM-powered applications. It provides tools for prompt engineering, workflow creation, semantic search, testing, and monitoring across major LLM providers. The platform offers both visual builders and SDK options, allowing teams to create AI agents and workflows through natural language conversations or code, integrate with 1000+ tools, and deploy features without needing to redeploy code.
Natural Language Agent Building: Create AI agents by describing what you want in plain English, with the platform automatically translating requirements into functional workflows
Visual Workflow Builder: Bi-directional sync between code and visual editor allows teams to rapidly develop, debug and iterate on AI workflows with real-time visibility
Comprehensive Testing & Monitoring: Built-in tools for creating test cases, evaluating prompts, monitoring performance, and tracking inputs/outputs at each step of the process
Multi-Model Support: Unified interface across all major LLM providers (OpenAI, Anthropic, etc.) allowing teams to optimize for quality, cost and latency
Use Cases of Vellum
Sales Operations Automation: Analyze closed lost deals from CRM, extract insights about loss reasons and competitors, and generate automated summary reports
Content Generation & SEO: Automate research, writing and optimization of SEO content by analyzing top-ranking articles and generating optimized drafts
Legal Document Review: Automatically review contracts and legal documents, extract key clauses, compare against templates, and generate risk assessments
Customer Support Enhancement: Build support chatbots that can classify requests, answer from knowledge bases, and escalate complex issues to human agents
Pros
No-code/low-code options make AI development accessible to non-technical team members
Extensive integration options with 1000+ tools and apps
Robust testing and monitoring capabilities for production deployment
Flexible deployment options with both hosted and SDK solutions
Cons
Limited free tier with restrictions on workflow executions
Closed-source platform may not suit teams preferring open frameworks
Can become costly for teams exceeding basic usage limits
More focused on LLM functionalities than traditional ML operations
How to Use Vellum
Sign up for Vellum: Visit app.vellum.ai/signup to create a new account and get started with a 14-day free trial
Describe your automation task: In plain English, describe the task you want to automate. For example: 'Create an agent that pulls data from Hubspot, analyzes trends, and sends reports to Slack'
Select integrations: Choose the tools and services your agent needs to connect with (e.g., Slack, Google Sheets, HubSpot, etc.). Vellum supports 1000+ integrations
Review the generated workflow: Vellum will automatically create a workflow with the necessary steps and nodes. Review the workflow preview to understand how your agent will function
Configure triggers: Set up when and how your agent should run - either on a schedule (e.g., daily at 9am), in response to events, or on-demand
Test the agent: Use the built-in UI to test your agent and verify it works as expected. You can preview outputs at each step of the workflow
Deploy the agent: Once satisfied with testing, deploy your agent. You can run it through the UI, call it via API from your code, or let it run automatically on schedule
Monitor performance: Use Vellum's observability features to monitor your agent's runs, review logs, and debug any issues that arise
Iterate and improve: Based on performance and needs, you can easily modify your agent by updating the workflow, adjusting settings, or changing triggers
Vellum FAQs
Vellum is a platform that allows users to create AI agents by simply describing what they want in plain English. It helps automate operational tasks by connecting to various tools and applications, and can run workflows on schedules or in response to triggers.
Vellum Video
Analytics of Vellum Website
Vellum Traffic & Rankings
304.6K
Monthly Visits
#165298
Global Rank
#2833
Category Rank
Traffic Trends: Jul 2024-Jun 2025
Vellum User Insights
00:00:41
Avg. Visit Duration
1.57
Pages Per Visit
59.31%
User Bounce Rate
Top Regions of Vellum
US: 23.64%
IN: 7.46%
DE: 5.25%
GB: 4.27%
CA: 4.27%
Others: 55.11%
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