Cloudskill 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.
Cloudskill compared with iLang Inc.
| Detail | 
Cloudskill | 
iLang Inc. |
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| What it does | The system of record for your team's AI agent skills
| 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 | GB
| CA
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| Pricing model | Free trial
| Open source
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| Pricing | £15 per seat per month, billed monthly or annually. Minimum 5 seats. 14-day free trial. For organisations above 200 seats, custom pricing available.
| Not given
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| Key features | - Centrally hosted skill catalogue with version control
- Admin review and approval workflow for skill submissions
- One-click skill download for team members
- Access control and skill assignment management
- Complete audit log of all actions
- Skill guides to prevent conflicts and degradation
- Version rollback with one click
- Export skills and audit data anytime
| - 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 | - System of record specifically designed for AI agent skills management
- Built for existing IT and operations workflows
- Authorship stays with the people who write skills
- Downloaded skills continue working even if platform is down
| - 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
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| 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) | Not checked yet ● no change since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 4 | 7 |
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| Citation Flow (Majestic) | 24 | 27 |
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| Referring domains (Majestic) | 47 | 66 |
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5 details filled in for both companies.
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