Vellum AI
Build and deploy AI applications with collaborative tools
Target Audience
- AI Product Developers
- Enterprise Engineering Teams
- MLOps Engineers
- Technical Product Managers
Overview
Vellum AI helps teams manage the entire lifecycle of AI product development. It provides tools for experimenting with different models, testing workflows, and deploying AI features without rebuilding your entire app. Teams can collaborate on prompts and workflows while maintaining enterprise-grade security.
Key Features
Model Comparison
Test and compare outputs across multiple AI providers
Visual Debugger
Spot issues in AI workflows through graphical interface
Code/UI Sync
Switch between code and visual editor without conflicts
AI Monitoring
Track decisions, costs, and performance in production
Retrieval APIs
Convert unstructured data into AI-ready formats
Use Cases
Develop production-ready AI applications
Compare multiple LLM providers
Debug complex AI workflows
Convert PDFs/images into AI-ready data
Monitor live AI system decisions
Pros & Cons
Pros
- Unified platform for entire AI lifecycle
- Enterprise security compliance (HIPAA/BAA)
- Live synchronization between code and UI
- Built-in model comparison capabilities
Cons
- Requires technical expertise for full utilization
Frequently Asked Questions
Can non-technical teams use Vellum?
While offering UI tools, Vellum primarily targets developers building production AI systems
Does Vellum support open-source models?
Yes, works with both closed and open-source/self-hosted models
How does collaboration work?
Provides team workspace for prompt management and workflow editing
Integrations
Reviews for Vellum AI
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