Greptile closed a $25 million Series A in September 2025 led by Benchmark Capital. The round followed a $4.1 million seed round in June 2024 led by Initialized Capital, with participation from Y Combinator and angel investors including Cory Levy, Rich Aberman, and JJ Fliegelman.

The company has raised $29.1 million in total funding across these two primary rounds.

Greptile is an AI-powered code review agent that integrates directly into GitHub and GitLab workflows. After a one-time setup where teams install the app and select repositories to monitor, Greptile automatically appears as a reviewer on every pull request or can be triggered manually when developers mention the bot.

The core differentiator is full-codebase context analysis. When a repository is connected, Greptile parses every file and dependency to build a language-agnostic graph of functions, classes, variables, and call relationships. During code review, it queries this graph so the AI can understand how proposed changes interact with the broader system rather than just analyzing the diff in isolation.

Greptile generates inline comments with click-to-apply suggestions for simple fixes, plus a comprehensive PR brief that includes natural language summaries, Mermaid diagrams of changed modules, and confidence scores. A copy prompt feature transfers Greptile's context to other coding agents like Cursor or Devin for seamless workflow integration.

The platform learns from team behavior by analyzing human review comments, emoji reactions, and which suggestions get implemented. Over time it suppresses suggestions teams consistently ignore while emphasizing patterns that get addressed. Teams can upload custom rules, style guides, and documentation that Greptile enforces automatically across specified repositories or file patterns.

The new v3 architecture includes an MCP server that enables programmatic integration with IDEs and autonomous coding agents, while also pulling additional context from tools like Jira, Notion, and Google Docs during reviews. Greptile supports over 30 programming languages and offers both cloud SaaS and self-hosted deployment options for enterprises requiring air-gapped environments.

Greptile operates as a B2B SaaS platform targeting software development teams with a subscription-based monetization model. The company charges $30 per active developer per month for its cloud offering, with enterprise customers paying custom annual contracts for self-hosted deployments that include bring-your-own-LLM capabilities.

The go-to-market approach combines product-led growth through GitHub and GitLab integrations with direct sales for larger enterprise accounts. Teams can start with a simple app installation and repository selection, creating low friction for initial adoption. The learning capabilities and custom rule enforcement create stickiness as the tool becomes more valuable over time by adapting to each team's specific coding standards and preferences.

Greptile's cost structure includes cloud infrastructure, LLM API costs, and engineering resources for maintaining integrations across multiple version control platforms and programming languages. The self-hosted option allows enterprise customers to use their own compute and AI models, potentially improving unit economics for larger deployments while addressing data security requirements.

The business model benefits from natural expansion dynamics as successful teams add more repositories and developers to their Greptile deployment. The full-codebase analysis approach creates switching costs since teams would lose accumulated learning and custom configurations by moving to competitors that only analyze code diffs.

GitHub Copilot Code Review leverages Microsoft's massive developer platform advantage with 150+ million users and tight integration into existing workflows. The offering bundles code review capabilities with broader Copilot subscriptions at $20-39 per developer per month, though new premium request limits could push heavy users toward alternatives.

Amazon Q Developer replaces CodeGuru and offers security scanning plus code quality review integrated with AWS toolchains. The tight coupling with AWS infrastructure creates lock-in for teams already committed to Amazon's cloud ecosystem, though self-hosting options remain unavailable.

CodeRabbit raised $60 million at a $550 million valuation in September 2025 and claims over 8,000 paying organizations with 20% month-over-month ARR growth. The company undercuts Greptile's pricing at $12-15 per developer per month while offering optional self-hosting and IDE-first review workflows.

Graphite's Diamond add-on integrates AI code review with stacked PR workflows and merge queue management at $15-20 per active committer. The $52 million Series B in March 2025 strengthens their position as a vertically integrated platform that can bundle multiple developer productivity tools for upsell leverage.

Cursor's Bugbot launched at $40 per user per month with real-time linting and PR commenting built directly into their AI-native editor. The $900 million in funding allows aggressive subsidization of features while creating a fully integrated coding and review experience that bypasses traditional version control workflows.

Greptile's full-codebase graph positions the company to layer static application security testing and open source license compliance on top of existing code review capabilities. This would compete with Semgrep and GitHub Copilot Autofix while tapping into the $141 billion global code review market where 30% is shifting toward AI-powered security-oriented tooling.

The DevSecOps package approach could significantly increase average contract values by bundling vulnerability detection, automated fix suggestions, and compliance reporting into higher-tier offerings that serve enterprise security requirements.

The new MCP server architecture exposes Greptile's code quality rules to third-party AI coding assistants like Devin and Cursor. Packaging this as a standalone API creates an adjacent revenue stream in the rapidly growing generative AI coding assistant market projected to reach $30.9 billion by 2032.

This positions Greptile as a neutral quality oracle across different development environments, potentially generating API revenue from IDE vendors, CI/CD platforms, and autonomous coding agent providers who need reliable code validation capabilities.

Self-hosted deployment options with bring-your-own-LLM capabilities unlock banks, healthcare technology companies, and defense contractors that block SaaS code analysis tools due to data residency requirements. SOC 2 compliance and air-gapped deployment remove regulatory barriers in these high-value market segments.

The ability to run entirely within customer infrastructure while maintaining feature parity with cloud offerings creates opportunities for larger contract values and longer-term enterprise relationships in heavily regulated verticals.

Model dependency: Greptile's core value proposition relies heavily on large language model capabilities for code analysis and suggestion generation. Rapid changes in LLM pricing, availability, or performance could significantly impact unit economics and product quality, particularly as the company scales usage to hundreds of millions of lines of code monthly.

Platform concentration: The business depends entirely on GitHub and GitLab for customer acquisition and product distribution through their app marketplaces and webhook integrations. Changes to these platforms' policies, pricing, or competitive positioning could disrupt Greptile's ability to reach new customers or maintain existing integrations.

Commoditization pressure: As major platform players like Microsoft and Amazon bundle AI code review into existing developer tool subscriptions, pure-play providers face pricing pressure and customer acquisition challenges. The risk intensifies if incumbents achieve comparable code analysis quality while leveraging their broader platform relationships and pricing power.