iLang Inc. vs Exabase
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 Exabase
| Detail | 
iLang Inc. | 
Exabase |
|---|
| What it does | The native language of AI; in human terms, a protocol.
| Context infrastructure for AI agents
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| Stage | Startup
| Startup
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| Founded | 2026
| Not given
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| Based in | CA
| GB
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| Pricing model | Open source
| Freemium
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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
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
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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
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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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) | 38 ▲ +1 (up) since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 11 |
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| Citation Flow (Majestic) | 27 | 32 |
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| Referring domains (Majestic) | 66 | 122 |
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6 details filled in for both companies.
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