TIFIN 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.
TIFIN compared with iLang Inc.
| Detail | 
TIFIN | 
iLang Inc. |
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| What it does | AI for Financial Prosperity
| The native language of AI; in human terms, a protocol.
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| Stage | Established
| Startup
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| Founded | 2018
| 2026
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| Based in | US
| CA
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| Pricing model | Not given
| Open source
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| Pricing | Not given
| Not given
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| Key features | - Agentic Workforce Platforms for wealth, asset management, and insurance
- Tax Intelligence and optimization platforms
- Workplace to Wealth infrastructure connecting benefits and personal wealth
- Distribution Science AI for advisor and investor reach
- Magnifi AI search engine for investment discovery
- AMP platform for wealth and distribution growth
- Coordinated agents with shared context and enforced rules
- AI enhances front, middle, and back office operations
| - 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 | - Industry-first agentic operating system for wealth
- Unified platform replacing isolated tools across workflows
- Mission-driven focus on better wealth outcomes for more people
- Trusted partnerships with JP Morgan, Morningstar, Franklin Templeton
- Comprehensive coverage of wealth, asset management, and insurance sectors
| - 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) | 57 ● no change since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 31 | 7 |
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| Citation Flow (Majestic) | 36 | 27 |
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| Referring domains (Majestic) | 390 | 66 |
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6 details filled in for both companies.
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