Greptile vs Ironwood AI
Greptile
greptile.comIronwood AI
ironwoodsolutions.aiSide by side
| Figure | Greptile | Ironwood AI |
|---|---|---|
| Price from | $30/mo | $15/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 4 |
| Spec score · AI Code Review Tools | 9.1 (#5) | 8.3 (#13) |
| What it does | Greptile is an AI code-review agent that indexes an entire repository and reviews pull requests with cross-file context. | Ironwood reviews code using selected AI providers and engineering context, with findings and evidence for engineers to inspect. |
Plans
Ironwood AI
- EvaluationFree
- Professional$15 a month
- Team$200 a month
- EnterprisePriced on request
In their own words
Greptile
Greptile is an AI code review agent for pull requests. It builds a graph of repository functions, classes, and dependencies, then posts findings with suggested fixes in approximately three minutes. Reactions and replies help it adjust: its documentation says it typically stops commenting on unwanted issues after two to three weeks. It supports GitHub, GitLab, Bitbucket, and Cursor Origin, with additional hosted and self-managed providers for enterprise customers. Integrations include GitHub Enterprise, Claude Code, Cursor, Codex, Devin, Jira, and Linear; it can also send issue context to coding agents and offers an MCP connection. The CLI reviews a local feature-branch diff in about 60 seconds and can output suggested fixes in agent mode. Security reviews combine Opengrep rules, software-composition analysis, and AI exploit detection. Greptile offers cloud and self-hosted deployment. Starter is free with 50 credits per month, one active developer, and unlimited repositories. Pro is $30/seat/month; a 14-day trial is listed.
Ironwood AI
Ironwood AI reviews code using AI providers selected by the team, along with engineering context such as coding standards, architecture documents, requirements, and technical guidance. Engineers can inspect findings and supporting evidence before deciding what to do. Teams can review multiple repositories in a batch, including cross-repository analysis when service boundaries matter. Listed AI providers include OpenAI, Anthropic Claude, Google Gemini, and Ollama; source-control integrations include GitHub, Azure DevOps, and Bitbucket. Jira, Azure Boards, and Confluence are listed for delivery workflows. Ironwood runs on infrastructure controlled by the customer, with local Admin, Reviewer, and Viewer roles; customers manage source-control and AI-provider credentials. Hosted AI providers receive review prompts and selected code or context, while Ollama can keep the AI request inside customer infrastructure. Ironwood says it does not need to receive or store source code, prompts, or findings to run a review. Professional includes PDF reports, role-based access control, platform health, and diagnostics. Evaluation is free for 30 days for two developers and one installation. Professional costs $15 a month; Team is $200 a month for up to 20 developers. AI-provider usage is billed separately.