QED Science vs Distyl
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
QED Science compared with Distyl
| Detail | 
QED Science | 
Distyl |
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| What it does | Critical Thinking AI for constructive criticism and science evaluation
| Architecting the AI-Native Enterprise
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | IL
| US
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Not given
| Not given
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| Key features | - Core claim extraction and validation
- Grant proposal evaluation
- Personalized research insights feed
- Validity scoring and contradiction resolution
- SOC 2 Type II and ISO 27001 compliance
- Data privacy with no model training on submissions
| - Distillery: Operating system for enterprise AI
- Weave: Autonomous AI system construction
- Context Mesh: Enterprise knowledge structured for AI
- Context Views: Enterprise semantic layer for agents
- Journey: AI voice layer for digital experiences
- Personalization: 1:1 customer engagement at enterprise scale
- Capture: Tacit knowledge capture at scale
- Canary: Self-improvement for AI systems
- Forward-deployed engineers and researchers
- EBITDA impact in 6 months
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| What makes it different | - Only AI platform trained on feedback from thousands of domain experts including Nobel laureates
- User manuscripts never used for model training or fine-tuning
- Provides nature-reviewer-level feedback at scale
- Built by scientists for scientists
| - Delivers production AI systems in weeks or months
- 150M+ end users reached by AI systems
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 35 ▲ +2 (up) since last check | 57 ● no change since last check |
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| Trust Flow (Majestic) | 29 | 16 |
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| Citation Flow (Majestic) | 25 | 36 |
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| Referring domains (Majestic) | 157 | 371 |
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5 details filled in for both companies.
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