Privaro vs QED Science
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Privaro compared with QED Science
| Detail | 
Privaro | 
QED Science |
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| What it does | AI governance and privacy platform that detects PII, masks prompts and audits LLM traffic
| Critical Thinking AI for constructive criticism and science evaluation
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | ES
| IL
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| Pricing model | Paid
| Freemium
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| Pricing | Starter: €150/month or €120/month (annual). Growth: €250/month. Business: €400/month or €320/month (annual). Scale: €700/month. Enterprise: €1,250/month. Enterprise+: €2,500/month. Volume-based pricing available for >5M requests/month. 14-day free trial available. Additional requests: €15 per extra
| Not given
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| Key features | - Multi-provider LLM routing for OpenAI, Anthropic, Mistral, Groq, and OpenAI-compatible endpoints
- Immutable blockchain-certified audit logs via iCommunity Blockchain Services
- Governance dashboard with visibility into AI usage, policy enforcement, and audit logs
- Privacy-first governed chat interface for enterprise teams
- Output scanning to detect and anonymize sensitive data in model responses
- Context optimization reducing token usage by up to 57% on logs and tool outputs
- Exportable DPO reports in PDF for compliance documentation
- RAG protection with Privaro Ingest and Retrieval Guard with per-chunk access control
| - 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
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| What makes it different | - Blockchain-certified immutable audit trail provides legally admissible evidence for compliance and regulatory audits
- Works with any LLM provider through unified multi-provider routing without vendor lock-in
- Reduces LLM costs through context optimization that compresses logs and outputs before model inference
- Built specifically for regulated industries with pre-configured use cases for legal, healthcare, and fintech
- No integration friction with endpoint-level proxy requiring only an endpoint change in LLM calls
| - 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
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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) | 6 ▲ +2 (up) since last check | 33 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 11 | 29 |
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| Citation Flow (Majestic) | 15 | 25 |
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| Referring domains (Majestic) | 50 | 157 |
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5 details filled in for both companies.
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