Vivgrid 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.
Vivgrid compared with iLang Inc.
| Detail | 
Vivgrid | 
iLang Inc. |
|---|
| What it does | The Managed Skills Platform for AI Agents
| 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 | Freemium
| Open source
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| Pricing | Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.
| Not given
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| Key features | - Managed Skills with instant deployment to all agents
- Agent observability and debugging across all decisions
- Globally distributed inference with low latency
- Safety guardrails and agent evaluation
- Multi-agent orchestration with stateful memory
- Centralized security and access control
- Support for multiple frontier LLM models
- Real-time cost and performance insights
- Agent Insights dashboard
| - 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 | - Ship agent improvements in minutes instead of release cycles
- Centralized skill management without requiring redeploy
- Complete visibility into agent decisions for fast debugging
- Proven safe releases with guardrails before production
- No infrastructure expertise required to deploy agents at scale
| - 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) | 39 ▼ −1 (down) since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 25 | 7 |
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| Citation Flow (Majestic) | 38 | 27 |
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| Referring domains (Majestic) | 2622 | 66 |
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5 details filled in for both companies.
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