Head to head · Verified 2026-10-26
Entelligence AI vs Kodus
Entelligence AI and Kodus both score 6.5/9 — the difference is which standards they cover. Everything below comes from each vendor's public documentation, mapped against the same 9 standards.
Entelligence AI
AI PR Review
Reviews PRs on GitHub, GitLab, and Bitbucket with codebase and team context, plus CLI pre-PR review and engineering metrics.
- Licence
- Proprietary
- Self-hosting
- Enterprise only
- From
- $750/mo
Kodus
AI PR Review
Open-source AI code review built to run where the organization controls: self-hosted or cloud, models under your keys, org-wide Kody Rules.
- Licence
- Open source
- Self-hosting
- Self-hostable
- From
- $10/dev/mo
The short answer
Across the 9 standards, Entelligence AI is better documented on 2 (local and PR review and ROI reporting), Kodus on 3 (business-logic checks, sandbox validation and cost control), and 4 come out even.
On deployment they are not interchangeable: Entelligence AI is self-hostable only on an enterprise contract, while Kodus is fully self-hostable on a standard plan. If code cannot leave your network, that single row decides the evaluation before anything else on this page.
Kodus publishes its source under AGPL-3.0 (dual-licensed; enterprise-marked files commercial); Entelligence AI is proprietary. That changes what you can audit, fork, and keep running if the vendor's terms change.
Pick Entelligence AI if you care most about local and PR review and ROI reporting.
Pick Kodus if you care most about business-logic checks, sandbox validation and cost control, the reviewer has to run inside your own infrastructure and you want to read the source before you trust it.
Side by side
| Fact | Entelligence AI | Kodus |
|---|---|---|
| Licensing • | Proprietary | Open source — AGPL-3.0 (dual-licensed; enterprise-marked files commercial) |
| Self-hosting • | Enterprise only | Yes — full stack |
| Free tier • | Trial only | Limited free tier |
| Pricing • | Now published: Startup $750/mo (up to 15 engineers, 300 reviews/mo then $1/review); Scale $2,500/mo (16-50 engineers, 1,000 reviews/mo then $1/review); Enterprise custom (adds Agent Insights, Model Router, Knowledge Base, self-hosting) | Free Community cloud tier (BYOK, up to 10 Kody Rules); Teams $10/dev/mo + your token costs; Enterprise custom; self-hosting free under AGPL |
| Model control • | BYOK documented for Model Router (AWS Bedrock, OpenRouter); model choice for Code Review itself not documented | BYOK on every plan: OpenAI, Anthropic, Gemini, Vertex, Novita, or any OpenAI-compatible endpoint (vLLM/Ollama); zero token markup |
| Platforms • | GitHub, GitLab, Bitbucket | GitHub, GitLab, Bitbucket, Azure DevOps, Forgejo |
| Last verified • | 2026-10-26 | 2026-10-21 |
• marks a row where the two genuinely differ.
All 9 standards
✓ documented · ~ partial · ✗ not offered · ? undocumented. The arrow marks which tool documents more on that standard — it is not a quality judgement, only a coverage one.
Entelligence AI: Docs: reviews each PR with the codebase, team guidance, prior feedback, and connected context in view.
Kodus: Repo-level analysis plus linked sibling repos; pulls business context from Jira, Linear, and Notion.
Entelligence AI: Guidelines per repo/language/path, generated from review history; confidence thresholds and comment limits.
Kodus: Plain-language Kody Rules with global-repo-directory scope; auto-imports .cursorrules, CLAUDE.md, AGENTS.md, etc.
Entelligence AI: CLI runs the review engine on local diffs before the PR opens; documented IDE extension page is unverified.
Kodus: Reviews run via CLI locally, in CI, and on PRs; distinct local-vs-PR behavior modes not detailed publicly.
Entelligence AI: Jira/Linear/Notion/Confluence connectors and MCP documented; ticket-vs-PR validation not explicit for review.
Kodus: Pulls context from Jira, Linear, and Notion to check a PR against what the ticket asked for.
Entelligence AI: Learnings capture team-confirmed exceptions; prior feedback is a documented input to future reviews.
Kodus: Kody generates rules automatically by analyzing team review history; rules and review history persist.
Entelligence AI: No documented sandbox execution or test-run validation.
Kodus: No documented sandbox execution or runtime validation of findings.
Entelligence AI: Markets BYOK, self-hosted, no token markup; per-seat pricing now published (Startup/Scale plus $1/review overage); BYOK documented only for Model Router (AWS Bedrock, OpenRouter), Enterprise-only.
Kodus: BYOK on every plan, zero token markup, published cost estimates, token-usage dashboard.
Entelligence AI: Findings ship a ready-made fix prompt for Claude Code/Cursor; no one-click committable suggestions documented.
Kodus: Provides fix suggestions in reviews; one-click commit flow not verified in the posts we checked.
Entelligence AI: Documented metrics: comment acceptance, cycle time, and DORA (deploy frequency, lead time, CFR, MTTR).
Kodus: Token-cost and usage dashboard documented; DORA-style ROI reporting not verified in public posts.
Entelligence AI vs Kodus: FAQ
What is the main difference between Entelligence AI and Kodus?
Entelligence AI and Kodus both score 6.5/9 — the difference is which standards they cover. Entelligence AI is self-hostable only on an enterprise contract and proprietary; Kodus is fully self-hostable on a standard plan and open source under AGPL-3.0 (dual-licensed; enterprise-marked files commercial).
Is Entelligence AI cheaper than Kodus?
Entelligence AI starts at $750/mo and Kodus at $10/dev/mo, as published by each vendor on 2026-10-26 and 2026-10-21. Compare total cost rather than seat price: Entelligence AI bills models as byok documented for model router (aws bedrock, openrouter); model choice for code review itself not documented, Kodus as byok on every plan: openai, anthropic, gemini, vertex, novita, or any openai-compatible endpoint (vllm/ollama); zero token markup.
Can Entelligence AI and Kodus be self-hosted?
Entelligence AI: Enterprise only — Self-hosting is listed as an Enterprise-plan inclusion on the pricing page (not available on Startup/Scale); deploy in your own cloud with your own provider keys. Kodus: Yes — full stack — Free under AGPL via Docker Compose, VM, or Kubernetes/Helm; no seat minimums; optional daily heartbeat can be disabled.
Do Entelligence AI and Kodus support the same platforms?
Both document support for GitHub, GitLab and Bitbucket. Entelligence AI additionally documents nothing else; Kodus adds Azure DevOps and Forgejo.
Which one scores higher against the 9-pillar standard?
They tie at 6.5/9. Entelligence AI has 8 of 9 pillars backed by public documentation, Kodus has 9.
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