GoodMem 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.
GoodMem compared with iLang Inc.
| Detail | 
GoodMem | 
iLang Inc. |
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| What it does | Memory layer for AI agents that saves tokens, improves itself, and enforces access control
| The native language of AI; in human terms, a protocol.
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| Stage | Startup
| Startup
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| Founded | 2024
| 2026
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| Based in | US
| CA
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| Pricing model | Freemium
| Open source
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| Pricing | Self-hosted: Free for commercial use. GoodMem Cloud: From $15/mo with usage-based pricing, 14-day free trial. Enterprise: Custom pricing.
| Not given
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| Key features | - Automated retrieval stack optimization
- Multimodal document processing with page images
- Granular access control and permissions
- Hybrid search with dense and sparse embedders
- Support for multiple LLM providers
- Multi-language SDKs and APIs
- Flexible deployment options
- ISO/IEC 27001 certified security
- SLSA Build L3 provenance
| - 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 | - Achieves frontier model quality at 1/35 of the cost using small self-hosted models
- Automatically optimizes retrieval stack for your data on real queries
- Never locks you in with proprietary storage
- Runs on-premises with full data control
| - 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
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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 |
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| DR (Domain Rating by Ahrefs) | 44 ▲ +1 (up) since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 10 | 7 |
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| Citation Flow (Majestic) | 32 | 27 |
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| Referring domains (Majestic) | 70 | 66 |
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7 details filled in for both companies.
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