Cranium vs Ryph
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Cranium compared with Ryph
| Detail | 
Cranium | 
Ryph |
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| What it does | Secure & Govern Enterprise AI
| Open-source AI agent orchestration platform for incident response and automation
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Not given
| Not given
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| Key features | - Discover every AI model, agent and vendor across the enterprise
- Govern AI policies mapped to NIST AI RMF, EU AI Act and ISO 42001
- Prove compliance with real-time AI Cards and audit-ready attestation
- AI Bill of Materials (AI-BOM) for complete system inventory
- Third-party vendor AI assessment and continuous verification
- SOC 2 Type 2 compliant and ISO 27001 certified
- Continuous AI discovery and exposure mapping
| - Incident response with agent investigation and pull request generation
- Automated workflows triggered on schedules or webhooks
- Agent summoning from GitHub, GitLab and Radicle with /ryph command
- Semantic memory system for shared and persistent agent learning
- Credentials kept behind gateways with no access in sandbox
- Customized environments per repository with cached dependencies
- Browser use for agent interactions with live watching
- Artifacts and pages for reports and overviews
- Deployment options from laptop to Kubernetes
- Tool proxy with allowlisted MCP server integrations
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| What makes it different | - One platform for the entire AI lifecycle instead of seven tools and seven dashboards
- Independent vendor with no model to sell and no sides in the AI ecosystem
- Trusted by Fortune 10 companies, global carriers and banks
- Born from KPMG Studio with decades of combined AI and cybersecurity expertise
- Continuous loop that automatically rediscovers and re-proves AI systems as they change
| - Agents work without holding real credentials or keys
- Changes ship as patches that require review before merge
- Runs on your own infrastructure from laptop to cloud
- Semantic memory learns across runs with deduplication and contradiction handling
- Built-in safety assuming agents can be manipulated or exploited
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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
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 53 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 12 | 0 |
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| Citation Flow (Majestic) | 31 | 0 |
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| Referring domains (Majestic) | 344 | 0 |
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4 details filled in for both companies.
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