| What it does | One-click molecular docking with AutoDock Vina in your browser
| No-code AI QA testing for web apps that explores your app, writes end-to-end tests, and reports bugs with screenshots.
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Not given
| Free trial
|
|---|
| Pricing | Not given
| Solo: $19/month (100 test executions/month, 2 projects, 30 pages explored/month), Startup: $49/month (260 test executions/month, 5 projects, 80 pages explored/month), Growth: $149/month (800 test executions/month, 15 projects, 250 pages explored/month). Enterprise: Custom pricing. 7-day free trial o
|
|---|
| 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
| - No SDK to install or code changes required
- Autonomous test generation covering happy paths and edge cases
- Plain-English tests with self-healing selectors
- Scheduled, CI and GitHub webhook triggered runs
- Works behind login with support for one-time codes
- Supports any web framework via URL
- 99.8% accurate self-healing selectors
|
|---|
| 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
| - No tests to write or code to maintain versus managed services and frameworks like Cypress that require manual test authoring
- Self-healing selectors that target elements by context instead of CSS classes that break on markup changes
- Coverage grows continuously from scheduled and CI runs instead of only at release time
- Comprehensive AI exploration discovers edge cases and negative flows that manual QA misses
- Self-serve autonomous testing with transparent pricing versus managed QA contracts
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 3 ▲ +1 (up) since last check | 5 ● no change since last check |
| Trust Flow (Majestic) | 0 | 5 |
| Citation Flow (Majestic) | 17 | 19 |
| Referring domains (Majestic) | 9 | 30 |