Privaro vs AMESA
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 AMESA
| Detail |
Privaro |
AMESA |
| What it does | AI governance and privacy platform that detects PII, masks prompts and audits LLM traffic
| Trusted autonomy for industrial operations built on machine teaching
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| Stage | Not given
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| Founded | Not given
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| Based in | ES
| US
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| Pricing model | Paid
| Contact for pricing
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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
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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
| - 60+ tools for data to autonomy
- CLI and API access
- MCP server for autonomous coding agents
- Flexible compute deployment on cloud, on-premises, or edge
- Dedicated supercomputer cluster infrastructure
- 12-week deployment timeline
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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
| - Built on machine teaching methodology for systems that learn from human expertise
- Proven ROI with documented industrial results up to $1.7M per year
- Data never leaves your walls with on-premises deployment options
- No-code platform for enterprise deployment without extensive technical expertise
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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 |
| DR (Domain Rating by Ahrefs) | 8 ▼ −1 (down) since last check | 32 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 11 | 7 |
| Citation Flow (Majestic) | 15 | 31 |
| Referring domains (Majestic) | 50 | 90 |
5 details filled in for both companies.
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