Cranium vs iLang Inc.
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 iLang Inc.
| Detail |
Cranium |
iLang Inc. |
| What it does | Secure & Govern Enterprise AI
| The native language of AI; in human terms, a protocol.
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | US
| CA
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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
| - AI-native communication protocol with 88 verbs and two syntaxes
- AI See: give any AI model vision by pasting i.ilang.ai URLs
- Zero installation required, pure text format
- Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
- Loader available via pip and npm for automatic protocol injection
- Prompt compression: 67% reduction in tokens for typical instructions
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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
| - First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
- Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
- Open source and MIT licensed with no royalties or approval required
- Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
- Tested and benchmarked with public conformance results and DOI-registered research
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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 |
| DR (Domain Rating by Ahrefs) | 53 ● no change since last check | 38 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 12 | 7 |
| Citation Flow (Majestic) | 31 | 27 |
| Referring domains (Majestic) | 344 | 66 |
5 details filled in for both companies.
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