| What it does | AI automation company delivering measurable ROI without enterprise prices
| The native language of AI; in human terms, a protocol.
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| Stage | Startup
| Startup
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| Founded | 2025
| 2026
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| Based in | US
| CA
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| Pricing model | Paid
| Open source
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| Pricing | Pilots: $5,000–$15,000 fixed-price per workflow. Retainers: from $1,500/month for up to 15 people, $2,500–$3,000/month for 15–50 people, from $7,000/month for 50–100 people, custom pricing for 100+ people. All retainers include maintenance, model upgrades, new automations each sprint, and support at
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| Key features | - AI Agent Development with OpenAI, Anthropic, and LangGraph
- Workflow Automation connecting CRM, billing, reporting and ops stack
- Fixed-price pilots with ROI verification and documentation
- Voice AI Development for automated phone agents
- Healthcare AI with HIPAA compliance and self-hosted deployment
- AI App Development with RAG and multi-model routing
- On-premises and air-gap deployment options
- Direct access to founder and engineering team with priority response under 4 hours
- Free 30-minute consultation with no obligation or sales pitch
| - 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 | - Measurable ROI-first approach: every engagement defined by business outcomes, not hours delivered
- No lock-in with month-to-month retainers and IP that transfers on day one
- Founder-led technical scoping ensures the quoted architecture is the architecture delivered
- All maintenance, model upgrades, and fixes included in one flat monthly retainer
- Fraction of the cost of hiring an in-house AI team while delivering results from week one
| - 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
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 25 ▲ +1 (up) since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 3 | 7 |
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| Citation Flow (Majestic) | 28 | 27 |
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| Referring domains (Majestic) | 105 | 66 |
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ValueStreamAI
iLang Inc.