AI21 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.
AI21 compared with iLang Inc.
| Detail |
AI21 |
iLang Inc. |
| What it does | Post-train specialized models for your task, creating an AI edge your competitors can't buy
| The native language of AI; in human terms, a protocol.
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| Stage | Established
| Startup
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| Founded | Not given
| 2026
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| Based in | IL
| 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 | - Forward-Deployed Researchers provide end-to-end model training and optimization
- Custom evaluation suite development from real tasks
- Production-ready deployment with cost-quality trade-offs
- Deployment flexibility including on-premises and VPC options
- Data security with no retention and full traceability
- Continuous model improvement from production traffic
- Customer ownership of model weights and training recipes
| - 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 | - Customers own specialized models trained on proprietary data, not rented general-purpose models
- Achieve frontier-level quality at lower costs through specialized training
- Five years of experience with diverse post-training and optimization methods
- Models ship production-ready in weeks with ongoing improvement capability
- Secure deployment with no data retention and auditable access controls
| - 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
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 75 ● no change since last check | 38 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 22 | 7 |
| Citation Flow (Majestic) | 44 | 27 |
| Referring domains (Majestic) | 3529 | 66 |
6 details filled in for both companies.
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