Pullora
Pullora is a web-based AI service that reviews pull requests for bugs, security issues, and regressions.
What Pullora is
Pullora is a web-based AI service that reviews pull requests for bugs, security issues, and regressions. It works with GitHub, GitLab, Bitbucket, and Azure DevOps. Reviews use code context and multiple AI passes, followed by evidence validation, deduplication, and confidence checks before findings are posted. Users can select Quick, Standard, or Deep modes and set severity, confidence, categories, ignored paths, and review guidance. Preview runs let users inspect findings and choose what to post. When new commits arrive, Pullora reviews only the changes since the previously reviewed commit. Teams can supply conventions and architecture documents for review context. The Free plan includes 10 review units monthly and one repository; Starter costs $9 a month and includes 50 units and five repositories. Pro costs $19 a month and includes 150 units and unlimited repositories. Each review has a mode-specific unit cap, and unused monthly units do not carry over. Pullora stores review metadata and findings rather than full repository copies, and says its AI providers do not train on customer data under their API terms.
Good
- Supports four listed code-hosting services.
- Offers preview runs before findings are posted.
- Re-reviews only changes since the last reviewed commit.
- Free plan includes 10 monthly review units.
Watch out
- Unused monthly units do not carry over.
- No IDE or CLI reviews.
- No self-hosting or BYOK.
Who it suits
Pullora suits teams seeking automated pull-request reviews across the listed code hosts, with controls for review depth and guidance. The free plan offers a limited starting point for one repository.
Verdict
Pullora provides configurable AI reviews through a web service, with preview controls and incremental re-reviews. Consider its monthly unit allowances and missing IDE, CLI, and self-hosting options when deciding whether it fits your workflow.
Plans and prices
From Pullora's own pricing page, checked 11 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Starter | $9 a month | 50 review units / month · 5 repositories · Automatic PR reviews · Incremental re-reviews · Custom rules (.ai-review.yml) · $9/mo |
| Pro | $19 a month | 150 review units / month · Unlimited repositories · Deep review mode · Custom review instructions · Publish reviews as your own account · Priority queue · $19/mo |
| Free | Free | 10 review units / month · 1 repository · Quick & Standard review modes · PR-URL reviews · Dry-run mode · $0/mo |
The facts
Each one read from Pullora's own pages, with the date it was checked.
What it does
- AI data use
- Pullora says its AI providers operate under API terms that do not permit training on customer data.checked 11 Oct 2026
- Code access
- Pullora uses short-lived, least-privilege GitHub App tokens for selected repositories and stores review metadata and findings rather than full repository copies.checked 11 Oct 2026
- Compliance
- Pullora says it does not currently claim third-party certifications.checked 11 Oct 2026
- Documentation context
- Teams can provide conventions and architecture documents, which Pullora condenses and caches for use in reviews.checked 11 Oct 2026
- Dry run
- Reviews can run in preview so users can inspect findings and choose which ones get posted to the pull request.checked 11 Oct 2026
- Notable limits
- Pullora does not provide IDE or CLI reviews, automated branch fixes, SOC 2, SSO/SAML, self-hosting or BYOK.checked 11 Oct 2026
- Product
- Pullora is an AI code review service that checks pull requests for bugs, security issues and regressions.checked 11 Oct 2026
- Providers
- Pullora works with GitHub, GitLab, Bitbucket and Azure DevOps.checked 11 Oct 2026
- Re-reviews
- When new commits arrive, Pullora re-reviews only changes since the last reviewed commit.checked 11 Oct 2026
- Review controls
- Users can choose Quick, Standard or Deep review modes and set severity, confidence, categories, ignored paths and review guidance.checked 11 Oct 2026
- Review pipeline
- Reviews use code context, multiple AI passes, evidence validation, deduplication and confidence checks before findings are posted.checked 11 Oct 2026
- Security
- Provider credentials are encrypted at rest with AES-256-GCM, and webhooks are signature-verified and idempotent before processing.checked 11 Oct 2026
- Unit limits
- Each review is capped at 10 units in Quick mode, 20 in Standard and 40 in Deep, and unused monthly units do not carry over.checked 11 Oct 2026
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