| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| One-click molecular docking with AutoDock Vina in your browser
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| Stage | Not given
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| Founded | Not given
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| Based in | IN
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| Pricing model | Contact for pricing
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| Pricing | Not given
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| Key features | - Coding-agent benchmarks in Terminal-Bench and SWE-bench style
- Research reproduction in PaperBench style
- Model evaluation and RLHF with preference ranking
- Long-horizon agent tasks with planning and tool use
- STEM and expert reasoning questions at PhD level
- Trial task scoring before work begins
- Peer review on every item
- Senior reviewer calibration on each batch
- Product design and full-stack development for SaaS and AI
- LLM assistants and voice AI integration
| - 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 | - One programme lead and point of contact instead of managing hundreds of individual profiles
- Scored trial on your rubric for every expert, not just CV and quiz screens
- Second review on every item plus senior calibration, not just spot checks
- Published quality numbers: 2,500+ tasks authored, 90% acceptance rate, 4.89/5 rating
- Pilot staffing in days with 5 to 10 experts
| - 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) | Not checked yet ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 17 |
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| Referring domains (Majestic) | 1 | 9 |
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FynoLabs
Dock