IFS Loops 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.
IFS Loops compared with iLang Inc.
| Detail | 
IFS Loops | 
iLang Inc. |
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| What it does | Industrial-grade agentic AI platform for enterprise operations
| 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 | 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 | - Prebuilt skills and workflow patterns for fast deployment
- Context-aware AI using operational and system signals
- Governed execution with guardrails, approvals, and audit trails
- Enterprise-grade security with SOC 2 Type 2, GDPR, and HIPAA compliance
- Integration with 65+ applications
- Natural language agent creation and monitoring
- Event-triggered and schedule-based agent orchestration
- LLM adaptation to business data
- API and client libraries for custom integrations
- Support for multiple industries and use cases
| - 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 | - Industrial-grade platform built for mission-critical enterprise environments
- Context-aware decision-making using operational data across systems
- Governed autonomy with guardrails and audit trails for safe scaling
- Seamless integration with 65+ enterprise applications
- Fast deployment with prebuilt skills and workflow patterns
| - 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) | 43 ▼ −1 (down) since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 12 | 7 |
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| Citation Flow (Majestic) | 36 | 27 |
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| Referring domains (Majestic) | 391 | 66 |
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4 details filled in for both companies.
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