| What it does | One-click molecular docking with AutoDock Vina in your browser
| AI writes your code. Canary tests it.
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Not given
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| Key features | - Automated receptor and ligand preparation via Meeko
- Batch screening up to 300 ligands per job
- Publication-ready PDF reports with embedded figures
- 2D and 3D interaction diagrams with PLIP
- PoseBusters automated pose quality validation
- ADMET analysis including Lipinski, Veber, and QED
- Custom docking box definition with 3D visualization
- Co-crystal redock validation against crystal poses
- Interactive 3D viewer for pose inspection
- Optional PyMOL publication-quality binding site rendering
| - Automatic test generation from code diffs
- Sandbox app testing with real browsers and APIs
- Reproduced failures with root causes
- Automatic regression test creation
- GitHub PR integration with inline comments
- Testing at every development step
- Support for multiple coding agents
- Slack and Linear integration
- Comprehensive test reports with evidence
- CLI for local testing before commits
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| What makes it different | - No software installation or local computing required
- Fully reproducible, documented pipeline with exact software versions recorded per job
- Automated Methods text and citations ready for manuscript submission
- Batch parallel docking with per-ligand failure tolerance
- Secure cloud processing with immediate data deletion after job completion
| - Catches bugs in AI-generated code automatically before they reach production
- Tests code in real browsers and APIs, not just unit tests
- Automatically converts findings into lasting regression tests
- Works directly inside coding agents with one-line integration
- Provides proof with replays and root causes for every failure
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ▲ +1 (up) since last check | 18 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 5 |
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| Citation Flow (Majestic) | 17 | 32 |
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| Referring domains (Majestic) | 9 | 150 |
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