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Panto

AI code reviewer with 30,000+ security checks, IaC and secrets scanning, and business context pulled from Jira and Confluence.

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[ Facts ]

Category
AI PR Review
Open source
No
Pricing
Not clearly published as of Aug 2026 (pricing page dominated by QA product); third-party trackers cite ~$15/dev/mo with a ~$40 tier - verify with vendor source
Self-hosted
Enterprise only — Self-hosted/on-prem deployment offered at the enterprise level.
Platforms
github, gitlab, bitbucket, azure-devops
Model control
unknown - no published BYOK or model choice
Last verified
2026-08-11

[ Against the 9 Standards ]

Based on public documentation as of 2026-08-11. ✓ documented · ~ partial · ✗ not offered · ? unknown. Methodology on the about page.

~ Multi-dimensional Context

Pulls business context from Jira/Confluence; codebase-wide context depth not documented.

? Rule-Centric & Default Quiet

Team-defined custom rules not documented; ships 30,000+ predefined security checks.

? Dual-Workflow: Local vs. PR

Local/IDE review surface not documented.

Business Logic Validation

Aligns PR analysis with requirements from Jira and Confluence - its core differentiator.

? Continuous Learning

Learning from review feedback not documented.

? Sandbox Validation

Sandbox or test-run validation not documented for the review product.

Economic Transparency

Pricing not clearly published for the review product; no BYOK or token transparency documented.

? Actionability

Fix-apply flow not documented in the sources we verified.

? Measurable ROI

Audit-friendly security reporting exists; review ROI metrics not documented.

[ In Our Coverage ]

Evaluating Panto?

Run it through the two-week trial protocol before you commit.

Evaluation Guide [↗]