Greptile vs Vellum
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF AI code review platform with full codebase context catching 3x more bugs than diff-only tools; YC W24 $29.1M Benchmark Series A at $180M valuation serving PostHog and Raycast competing with GitHub Copilot for PR review automation.
About
Greptile is a San Francisco-based AI code review platform — backed by Y Combinator (W24) with $29.1 million raised including a $25-30 million Series A at $180 million valuation led by Benchmark in September 2025 and a $4.1 million seed led by Initialized Capital — providing software engineering teams with automated code review that understands the full codebase context (not just the changed lines in the PR), continuously monitoring GitHub repositories to catch bugs, enforce company-specific coding standards, and prevent regressions before merging, reviewing millions of code changes weekly for notable customers including PostHog, Raycast, and Y Combinator's internal engineering team.
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.
AI Visibility Head-to-Head
Key Details
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.