Vellum vs Envoy
Side-by-side comparison of AI visibility scores, market position, and capabilities
LLM application development platform with prompt management, evaluation, and RAG workflows; structured AI feature development competing with LangSmith and Weights & Biases Prompts.
About
Vellum is an AI product development platform providing prompt management, model comparison, workflow orchestration, and production monitoring tools for engineering and product teams building LLM-powered applications — enabling teams to iterate on AI features with rigorous evaluation frameworks rather than ad-hoc prompt tweaking. Founded in 2023 by Andrew Kirima and Noa Flaherty in San Francisco, Vellum has raised approximately $12 million and targets AI-forward product teams at growth companies who need structured workflows for LLM feature development, testing, and deployment.\n\nVellum's platform covers the LLM application development lifecycle: Prompt Workshop for managing and versioning prompt templates with variable substitution, Evaluations for testing prompts against datasets to measure output quality before deployment, Document Index for building RAG (retrieval-augmented generation) pipelines with semantic search over enterprise documents, and Workflows for orchestrating multi-step AI pipelines with branching logic and human-in-the-loop review steps. The monitoring dashboard tracks production LLM performance, latency, and cost across models.\n\nIn 2025, Vellum competes in the rapidly growing LLM development tools market against LangSmith (LangChain's commercial platform), Weights & Biases Prompts, Helicone, Braintrust, and Humanloop for AI application observability and evaluation. The market has grown explosively as companies productionize LLM features and need rigorous quality control processes. Vellum's differentiation is its end-to-end workflow — from prompt development through evaluation to production monitoring — in a single platform rather than requiring separate tools for each stage. The 2025 strategy focuses on expanding workflow complexity support (longer multi-agent pipelines), growing enterprise adoption with SSO and access controls, and adding AI-powered evaluation that automatically judges output quality.
CNCF-graduated cloud-native proxy powering Istio and AWS App Mesh service meshes; 2025 AI Gateway v0.1 enabling AI API traffic management competing with NGINX in Kubernetes.
About
Envoy is the most widely deployed cloud-native proxy, originally developed at Lyft and now a Cloud Native Computing Foundation (CNCF) graduated project since November 2018 — serving as the default sidecar proxy in Istio, Open Service Mesh, AWS App Mesh, and other service meshes, as well as the foundational technology behind many commercial API gateways and edge proxy products. Envoy processes traffic for millions of microservices globally, handling load balancing, service discovery, observability, and traffic management at the infrastructure layer.\n\nEnvoy's architecture as a high-performance, extensible proxy has made it the de facto standard for cloud-native network infrastructure — its xDS API for dynamic configuration allows platforms like Istio to manage Envoy configurations at scale without restarting proxies, while its rich observability (distributed tracing, detailed metrics) makes it essential for understanding microservices traffic patterns. Envoy Gateway 1.1 (released August 2024) added support for the Kubernetes Gateway API v1.1, standardizing how Kubernetes workloads expose services externally.\n\nIn February 2025, Envoy reached another milestone: the first stable open-source AI Gateway (v0.1), developed by Bloomberg and Tetrate and backed by CNCF, was built on Envoy to provide unified access management, rate limiting, and observability for AI model APIs — positioning Envoy as infrastructure for AI application traffic alongside traditional microservices traffic. Envoy competes with NGINX and HAProxy for traditional proxy workloads but has largely displaced them in Kubernetes and cloud-native environments. The 2025 strategy focuses on the AI gateway use case, continued Kubernetes Gateway API adoption, and the commercial ecosystem of Envoy-based products (Tetrate, Solo.io, and others) that fund ongoing development.
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