Vellum

What is Vellum?

Vellum is an enterprise-grade LLMOps platform engineered to accelerate the building, evaluating, and monitoring of production-ready Large Language Model (LLM) applications. It serves as a unified command center where software engineers, data scientists, and product teams can collaborate to transition generative AI concepts from sandbox experiments into reliable, high-performance production systems with complete control over costs, latency, and output quality.

Comprehensive Architectural & Workflow Capabilities

Designed to tackle the unique hurdles of production AI, Vellum provides an integrated ecosystem featuring:

• Multi-Model Prompt Engineering Sandbox: Run prompt experiments side-by-side across leading models such as OpenAI (GPT-4o), Anthropic (Claude 3.5), Google (Gemini), and self-hosted open-source models to evaluate trade-offs instantly.
• Visual Workflow Orchestration: A node-based canvas to construct complex multi-agent architectures, decision logic, and advanced Retrieval-Augmented Generation (RAG) pipelines without getting bogged down in boilerplate code.
• Automated Quantitative Evaluation: Built-in test suites that benchmark semantic accuracy, output consistency, response latency, and per-query operational costs prior to any live release.
• Production Observability & Telemetry: Real-time logging, edge monitoring, input/output inspection, and tracing to detect regressions or hallucinations immediately in production traffic.

Why Production Teams Choose Vellum

Vellum eliminates the traditional friction between engineering and product management. With robust version control, collaboration safeguards, and native CI/CD pipeline integration, teams can iterate on prompt variations and workflow updates safely, maintaining rock-solid deployment discipline across enterprise AI initiatives.