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LlamaIndex 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.

LlamaIndex compared with iLang Inc.
Detail LlamaIndexiLang Inc. logo iLang Inc.
What it doesAI Agents for Document OCR + Workflows The native language of AI; in human terms, a protocol.
StageNot given Startup
FoundedNot given 2026
Based inNot given CA
Pricing modelFreemium Open source
PricingFree plan with 10,000 monthly credits; Starter at $50/month with 40,000 credits; Pro at $500/month with 400,000 credits; Enterprise with custom pricing. Additional pay-as-you-go credits available. Pricing based on a credit system where 1,000 credits equals $1.25. Not given
Key features
  • Agentic OCR parsing with semantic understanding for complex document layouts
  • Support for 130+ file formats including PDFs, Office docs, images, and spreadsheets
  • Structured data extraction with schema-based, LLM-powered agents
  • Document classification and splitting based on natural language rules
  • Enterprise-grade RAG indexing and retrieval pipeline
  • Handwritten text parsing and structured extraction
  • Table and chart extraction with structured row and column relationships
  • Cloud SaaS or VPC deployment with flexible data residency options
  • 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
What makes it different
  • 4x cheaper than frontier labs, 5x more accurate than other APIs
  • Auto-correction loops with recursive checks that detect and fix errors automatically
  • Task-specific specialist agents that route content to the right expert
  • HIPAA, GDPR, and SOC2 compliant with enterprise-grade security
  • 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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)82 +1 (up) since last check38 +1 (up) since last check
Trust Flow (Majestic)337
Citation Flow (Majestic)5627
Referring domains (Majestic)1038166

4 details filled in for both companies.

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