Ironwood AI review
A controlled self-hosted reviewer for teams needing provider choice and engineering context.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Ironwood AI is a self-hosted AI code review platform for engineering teams that need deployment inside customer-controlled infrastructure. It connects with GitHub, Azure DevOps, and Bitbucket, while letting teams select AI providers including OpenAI, Anthropic Claude, Google Gemini, and Ollama. Reviews can use codebase context, requirements, architecture guidance, and engineering knowledge to produce findings with severity, explanations, evidence, and recommended actions.
The published plans show a paid structure with a 30-day free trial. Evaluation includes full Professional features, one active installation, unlimited repositories, unlimited reviews, and no credit card requirement. Professional costs US$15 per active developer per month and adds multi-provider review and consensus, engineering knowledge, code-host integrations, and PDF review reports. Team costs US$200 per month for up to 20 developers and adds source-control and delivery integrations plus role-based access control. Enterprise is aimed at larger developer requirements, with rollout assistance, custom support arrangements, and SLA options.
Ironwood’s strongest fit is for organizations that value control over deployment and want to compare outputs across providers. Its integrations extend beyond code hosts to Jira, Azure Boards, and Confluence, while platform health, diagnostics, backup, restore, and upgrade validation support operational ownership. Review history and downloadable reports add traceability. The trade-off is a manually triggered review workflow, and the product is not positioned as a verified security-analysis or automated-fix system. Choose Ironwood when self-hosting, engineering context, and provider flexibility matter most; consider another tool if automatic review triggers or verified security remediation are central requirements.
Ironwood AI pros and cons
- Where it wins
- Customer-controlled self-hosted deployment
- Multi-provider review and consensus
- GitHub, Azure DevOps, and Bitbucket integrations
- Where it doesn't
- Reviews are manually triggered
- No free plan is listed
- Security analysis and fixes are not verified
Ironwood AI fact sheet, pricing and score →
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