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Entelligence AI

AI PR Review · #6 of 20 in category · #6 of 27 overall

Reviews PRs on GitHub, GitLab, and Bitbucket with codebase and team context, plus CLI pre-PR review and engineering metrics.

[ Where it fits ]

On the documented evidence, Entelligence AI suits teams that need the reviewer inside their own infrastructure.

[ Documented strengths ]

  • Multi-dimensional Context. Docs: reviews each PR with the codebase, team guidance, prior feedback, and connected context in view.
  • Rule-Centric & Default Quiet. Guidelines per repo/language/path, generated from review history; confidence thresholds and comment limits.
  • Dual-Workflow: Local vs. PR. CLI runs the review engine on local diffs before the PR opens; documented IDE extension page is unverified.
  • Continuous Learning. Learnings capture team-confirmed exceptions; prior feedback is a documented input to future reviews.
  • Measurable ROI. Documented metrics: comment acceptance, cycle time, and DORA (deploy frequency, lead time, CFR, MTTR).

[ Documented gaps ]

No standard is documented as unavailable — but 1 are not documented either way.

[ Facts ]

Category
AI PR Review
Open source
No — proprietary
Pricing
Not published as of Aug 2026; sales-led with pricing tailored per organization. Homepage markets BYOK, self-hosted, no token markup source ↗
Self-hosted
Yes — full stack — Documented AWS Marketplace self-host into your own AWS account/VPC via CloudFormation; plan availability not stated.
Model control
BYOK documented for Model Router (AWS Bedrock, OpenRouter); model choice for Code Review itself not documented
Last verified
2026-08-11

[ Against the 9 standards ]

Based on public documentation as of 2026-08-11. ✓ documented · ~ partial · ✗ not offered · ? undocumented. Undocumented scores zero — see the methodology.

Multi-dimensional Context

Docs: reviews each PR with the codebase, team guidance, prior feedback, and connected context in view.

Rule-Centric & Default Quiet

Guidelines per repo/language/path, generated from review history; confidence thresholds and comment limits.

Dual-Workflow: Local vs. PR

CLI runs the review engine on local diffs before the PR opens; documented IDE extension page is unverified.

~ Business Logic Validation

Jira/Linear/Notion/Confluence connectors and MCP documented; ticket-vs-PR validation not explicit for review.

Continuous Learning

Learnings capture team-confirmed exceptions; prior feedback is a documented input to future reviews.

? Sandbox Validation

No documented sandbox execution or test-run validation.

~ Economic Transparency

Markets BYOK, self-hosted, no token markup; BYOK documented only for Model Router; no published pricing.

~ Actionability

Findings ship a ready-made fix prompt for Claude Code/Cursor; no one-click committable suggestions documented.

Measurable ROI

Documented metrics: comment acceptance, cycle time, and DORA (deploy frequency, lead time, CFR, MTTR).

[ Entelligence AI vs the alternatives ]

[ Closest alternatives ]

[ FAQ ]

Is Entelligence AI open source?

No. Entelligence AI is proprietary — you can use it, but you cannot read or fork the review engine.

Can Entelligence AI be self-hosted?

Yes — full stack. Documented AWS Marketplace self-host into your own AWS account/VPC via CloudFormation; plan availability not stated. Verified against the vendor's own documentation on 2026-08-11.

How much does Entelligence AI cost?

Not published as of Aug 2026; sales-led with pricing tailored per organization. Homepage markets BYOK, self-hosted, no token markup. Seat price is only part of the bill: Entelligence AI handles models as byok documented for model router (aws bedrock, openrouter); model choice for code review itself not documented, which is what usually decides the real monthly cost.

How does Entelligence AI score against the 9-pillar AI code review standard?

6.5 out of 9. It fully documents 5 standards, partially documents 3, does not offer 0, and leaves 1 undocumented. The score is coverage of documented capability, not a measure of review quality.

What are the alternatives to Entelligence AI?

The closest tools in this directory are Augment Code, Baz, CodeAnt AI, Kodus. Each is scored against the same 9 standards, so the matrices are directly comparable.

Evaluating Entelligence AI?

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

Evaluation guide [↗]