| What it does | Evidence laid out, not a lone percentage.
| One-click molecular docking with AutoDock Vina in your browser
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Freemium
| Not given
|
|---|
| Pricing | Free plan: 4 welcome credits (1 full report). Pro: $19/month for 300 credits/month. Team: $59/month for 1500 credits/month. Each report costs 4 credits.
| Not given
|
|---|
| Key features | - Cross-checks four independent detection models
- Deterministic evidence trump card (C2PA credentials, generator self-tags)
- Published weighted-vote rule (30% each for Sightengine, Winston AI, Was It AI; 10% for SAFE)
- Batch screening of up to 50 images at once
- Graded conclusions with disagreement reported
- Shareable report links and forensic PDF download
- Support for JPEG, PNG, WebP up to 12MB
- Generator-specific classification (Midjourney, DALL-E, Stable Diffusion, Flux, Imagen, Adobe Firefly, Ideogram)
- SHA-256 file hash recording for chain-of-custody
- Private uploads, shared only via report link
| - 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
|
|---|
| What makes it different | - Published weighted-vote rule with every vote shown by name instead of hidden percentages
- Reports disagreement honestly instead of blending signals into one number
- Automatic credit refund when an engine fails
- Full product access in free tier (not a limited teaser)
- Deterministic file evidence (C2PA, metadata) that outranks model votes
| - 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
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 41 ▲ +1 (up) since last check | 2 ● no change since last check |
|---|
| Trust Flow (Majestic) | 13 | 0 |
|---|
| Citation Flow (Majestic) | 27 | 17 |
|---|
| Referring domains (Majestic) | 102 | 9 |
|---|
AI Image Detector
Dock