iLang Inc. vs Nooks
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
iLang Inc. compared with Nooks
| Detail | 
iLang Inc. | N
Nooks |
|---|
| What it does | The native language of AI; in human terms, a protocol.
| Interactive worlds for people and AI to build, learn and solve problems together
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| Stage | Startup
| Not given
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| Founded | 2026
| Not given
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| Based in | CA
| Not given
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| Pricing model | Open source
| Free
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| Pricing | Not given
| Not given
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| Key features | - 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
| - Photo to brick set conversion with 3D preview and parts list
- Workbench for collaborative brick-by-brick editing
- MCP server integration with Claude Code, Codex, Cursor and more
- Build structure checking and validation
- OAuth sign-in with no token storage
- Offline build access with local browser storage
- Export digital manuals and wanted parts lists
- Interactive environments for AI training
- Consent-based human demonstration recording
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| What makes it different | - 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
| - Checked outcomes - part connections and build validity are verified by software before delivery
- Real objects from photos - converts pictures into buildable brick sets with actual parts that exist
- People and AI work on the same design simultaneously within the workbench
- Measurable AI learning with transfer testing across different worlds
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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) | 38 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 7 | 0 |
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| Citation Flow (Majestic) | 27 | 13 |
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| Referring domains (Majestic) | 66 | 2 |
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4 details filled in for both companies.
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