Ironwood AI
Ironwood AI reviews code with AI providers selected by the team, combining code with engineering context such as standards, architecture documents, and requi…
What Ironwood AI is
Ironwood AI reviews code with AI providers selected by the team, combining code with engineering context such as standards, architecture documents, and requirements. Engineers can inspect findings and supporting evidence, while teams can review multiple repositories in one batch, including across repository boundaries when service boundaries matter. It supports GitHub, Azure DevOps, and Bitbucket for source control, and Jira, Azure Boards, and Confluence for delivery workflows. Ironwood runs on infrastructure the customer controls, with local Admin, Reviewer, and Viewer roles. Hosted AI providers receive review prompts and selected code or context; Ollama can keep the AI request within the customer’s infrastructure. Evaluation includes 30 days of Professional features for two developers and one active installation, with no credit card required. Professional costs $15 a month, and Team costs $200 a month for up to 20 developers. Both offer unlimited repositories and reviews without a codebase-size limit or per-review charge; AI-provider usage is billed separately.
Good
- Review several repositories in one batch.
- Supports GitHub, Azure DevOps, and Bitbucket.
- Customer-controlled infrastructure and local roles.
- Unlimited reviews on Professional and Team.
- Ollama can keep AI requests inside customer infrastructure.
Watch out
- AI-provider usage is billed separately.
- Reviews are triggered manually.
Who it suits
Ironwood suits engineering teams that want AI-assisted code reviews while retaining control over infrastructure, credentials, and review decisions. It can accommodate teams reviewing multiple repositories and providing their own engineering guidance.
Verdict
Ironwood combines repository review with configurable engineering context and lets teams inspect evidence before deciding what to do with findings. Its customer-controlled deployment and provider choices may suit teams with specific code-handling requirements.
Plans and prices
From Ironwood AI's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Evaluation | Free | 30 days · 2 developers · 1 active installation · Full Professional features · Unlimited repositories and reviews · No codebase-size limit · No credit card |
| Professional | $15 a month | Unlimited repositories and reviews · No codebase-size limit · No per-review charge · Monthly |
| Team | $200 a month | Up to 20 developers · Unlimited repositories and reviews · No codebase-size limit · No per-review charge · Monthly |
| Enterprise | Priced on request | Larger developer requirements · Deployment and rollout assistance · Custom support arrangements · SLA options · By agreement |
The facts
Each one read from Ironwood AI's own pages, with the date it was checked.
What it does
- Access and credentials
- The product includes local Admin, Reviewer, and Viewer roles, and the customer manages source-control and AI-provider credentials.checked 7 Oct 2026
- AI providers
- The product lists OpenAI, Anthropic Claude, Google Gemini, and Ollama as supported AI providers.checked 7 Oct 2026
- Data flow
- With a hosted AI provider, review prompts and selected code or context are sent to that provider; using Ollama can keep the AI request inside the customer's infrastructure.checked 7 Oct 2026
- Delivery integrations
- The product lists Jira, Azure Boards, and Confluence delivery integrations.checked 7 Oct 2026
- Intended users
- The company describes Ironwood as built for engineering teams that want AI in their development workflow while retaining control of code, providers, and review decisions.checked 7 Oct 2026
- Multi-repository review
- Teams can review several repositories in one batch, including cross-repository analysis when service boundaries matter.checked 7 Oct 2026
- Reports and operations
- Professional includes PDF review reports, role-based access control, platform health, and diagnostics.checked 7 Oct 2026
- Review context
- Teams can provide coding standards, architecture documents, requirements, and technical guidance as review context.checked 7 Oct 2026
- Security model
- Ironwood runs on infrastructure the customer controls; the company says it does not need to receive or store source code, review prompts, or findings to run a review.checked 7 Oct 2026
- Source control integrations
- The product lists GitHub, Azure DevOps, and Bitbucket as source-control integrations.checked 7 Oct 2026
- Support
- Ironwood can generate a sanitised support bundle for review before sharing; its support workflow is designed not to automatically upload source code or provider credentials.checked 7 Oct 2026
- Usage limits
- Professional and Team have unlimited repositories and reviews, no codebase-size limit, and no per-review charge; AI-provider usage is billed separately by those providers.checked 7 Oct 2026
- What it does
- Ironwood reviews code using selected AI providers and engineering context, with findings and evidence for engineers to inspect.checked 7 Oct 2026
The company
- Headquarters
- Sydney, Australiachecked 28 Sep 2026
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