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- Ironwood AI
Ironwood AI
Sydney, Australia
What it is
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 how to respond. Teams can review several repositories in one batch, including cross-repository analysis when service boundaries matter. Supported AI providers include OpenAI, Anthropic Claude, Google Gemini, and Ollama. Source-control integrations include GitHub, Azure DevOps, and Bitbucket; delivery integrations include Jira, Azure Boards, and Confluence. Ironwood runs on infrastructure controlled by the customer, with local Admin, Reviewer, and Viewer roles. Customers manage source-control and AI-provider credentials. For hosted AI providers, prompts and selected code or context are sent to that provider; Ollama can keep AI requests within the customer's infrastructure. Ironwood says it does not need to receive or store source code, review prompts, or findings to run a review. The 30-day Evaluation includes Professional features for two developers and one active installation. Professional is $15 per month, and Team is $200 per month for up to 20 developers; AI-provider usage is billed separately.
For and against
For
- Reviews can include engineering standards and architecture context
- Supports batch and cross-repository reviews
- Runs on customer-controlled infrastructure
- Professional and Team include unlimited reviews
Against
- No free plan; Evaluation lasts 30 days
- AI-provider usage is billed separately
- Hosted providers receive prompts and selected code or context
The verdict
Ironwood AI provides configurable code review workflows on customer-controlled infrastructure, with evidence engineers can inspect. Teams should account for separate AI-provider charges and how selected code or context is handled by hosted providers.
Who it suits
It is designed for engineering teams that want AI-assisted reviews while controlling their infrastructure, providers, credentials, and review decisions. It also suits teams reviewing multiple repositories together.
Plans and prices
Evaluation
30 days · 2 developers · 1 active installation · Full Professional features
Read 7 Oct 2026 · ironwoodsolutions.ai
Professional
Unlimited repositories and reviews · No codebase-size limit · No per-review charge
Read 7 Oct 2026 · ironwoodsolutions.ai
Team
Up to 20 developers · Unlimited repositories and reviews · No codebase-size limit · No per-review charge
Read 7 Oct 2026 · ironwoodsolutions.ai
Enterprise
Larger developer requirements · Deployment and rollout assistance · Custom support arrangements · SLA options
Read 7 Oct 2026 · ironwoodsolutions.ai
On the record
- Access and credentials
- The product includes local Admin, Reviewer, and Viewer roles, and the customer manages source-control and AI-provider credentials.ironwoodsolutions.ai · read 7 Oct 2026
- AI providers
- The product lists OpenAI, Anthropic Claude, Google Gemini, and Ollama as supported AI providers.ironwoodsolutions.ai · read 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.ironwoodsolutions.ai · read 7 Oct 2026
- Delivery integrations
- The product lists Jira, Azure Boards, and Confluence delivery integrations.ironwoodsolutions.ai · read 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.ironwoodsolutions.ai · read 7 Oct 2026
- Multi-repository review
- Teams can review several repositories in one batch, including cross-repository analysis when service boundaries matter.ironwoodsolutions.ai · read 7 Oct 2026
- Reports and operations
- Professional includes PDF review reports, role-based access control, platform health, and diagnostics.ironwoodsolutions.ai · read 7 Oct 2026
- Review context
- Teams can provide coding standards, architecture documents, requirements, and technical guidance as review context.ironwoodsolutions.ai · read 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.ironwoodsolutions.ai · read 7 Oct 2026
- Source control integrations
- The product lists GitHub, Azure DevOps, and Bitbucket as source-control integrations.ironwoodsolutions.ai · read 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.ironwoodsolutions.ai · read 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.ironwoodsolutions.ai · read 7 Oct 2026
- What it does
- Ironwood reviews code using selected AI providers and engineering context, with findings and evidence for engineers to inspect.ironwoodsolutions.ai · read 7 Oct 2026
