| What it does | Verification for code your AI agent writes
| Private AI coding agent for engineering teams
|
|---|
| Stage | MVP
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| Pricing | Free: $0, 20 free reviews per month on public GitHub repos, no card required. Solo: $25/month ($20/month billed annually), includes 20 reviewed changes per month, private repo access, full reviewer catalog. Team: $25/user/month ($20 billed annually, 3 seat minimum), 20 reviewed changes per seat mont
| Free plan with all features including desktop app, unlimited workspaces, and free Atlarix Auto. Pro plan $19/month includes Atlarix Core models across all surfaces with a monthly allowance, then pay-as-you-go. Pay-as-you-go Atlarix Core credit available from $10.
|
|---|
| Key features | - Change-impact analysis showing callers, implementations, and removed code references
- Two independent reviewers (Codex and Claude) with parallel verification and reconciliation
- Five surfaces: MCP, CLI, Web, GitHub App, API
- MCP integration for agent verification before commit
- GitHub App for automatic pull request reviews
- Grounded findings with file, line, and evidence for each issue
- Per-review model selection on paid plans
- No repository connection required; only files from the agent are read
- Code review artifact retention and export
| - Plans, edits and runs code with your approval on every change
- Searches repository and keeps notes on codebase learning
- Runs parallel tasks splitting work into up to five efforts
- Works offline and in air-gapped environments
- Pull request reviewer that finds issues without writing code
- Chrome extension for browser automation and testing
- Terminal CLI sharing sessions and settings with desktop app
- Scheduled and triggered work through GitHub Actions
|
|---|
| What makes it different | - Checks code context outside the diff, not just the change itself
- Dual independent reviewer reconciliation catches contradictions humans need to judge
- Only grounded findings block; AI certainty is not enough
- Does not train on customer code and never will
- Integrates with coding agents before commit to catch issues early
| - Keeps source code private on your machine with no indexing or embeddings
- Works offline with local models like Ollama and LM Studio
- Every change requires approval before it lands on disk
- Single subscription covers desktop app, Chrome extension and GitHub reviewer
- Learns and keeps notes on your specific codebase over time
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 7 ● no change since last check |
| Trust Flow (Majestic) | 1 | 6 |
| Citation Flow (Majestic) | 25 | 30 |
| Referring domains (Majestic) | 20 | 85 |