| What it does | Not given
| One-click molecular docking with AutoDock Vina in your browser
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| Stage | Startup
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| Founded | 2026
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| Based in | GB
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| Pricing model | Freemium
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| Pricing | Free assessment, report and certificate. Optional: AI Fluency Map ($19 one-time), AI Coach ($19/month after 7-day free trial), Master bundle ($49). Employer assessment credits at $10 each.
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| Key features | - Conversational assessment format that adapts to candidate answers
- Scoring across 5 dimensions and 11 criteria
- Evidence-based scoring with quotes from conversation
- Free AI certificate verifiable on LinkedIn
- Published rubric for assessment transparency
- Role-specific assessment paths for developers, product managers, designers and data scientists
- Second model review of full transcript before results issued
- Multi-language support including voice dictation in 14 languages
- AI Fluency Index tracking population benchmarks quarterly
| - 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
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| What makes it different | - Conversational assessment tests actual AI usage rather than recall through quiz-style questions
- High score reliability with 98% of retakers landing in same or adjacent tier
- Completely free assessment, report and certificate with no gating or upsell required
- Anti-gaming design with separate conversation and scoring systems plus integrity checks
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 45 ▼ −1 (down) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 24 | 0 |
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| Citation Flow (Majestic) | 31 | 17 |
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| Referring domains (Majestic) | 239 | 9 |
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AISA
Dock