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AI21 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.

AI21 compared with iLang Inc.
DetailAI21 logo AI21iLang Inc. logo iLang Inc.
What it doesPost-train specialized models for your task, creating an AI edge your competitors can't buy The native language of AI; in human terms, a protocol.
StageEstablished Startup
FoundedNot given 2026
Based inIL CA
Pricing modelContact for pricing Open source
PricingNot given Not given
Key features
  • Forward-Deployed Researchers provide end-to-end model training and optimization
  • Custom evaluation suite development from real tasks
  • Production-ready deployment with cost-quality trade-offs
  • Deployment flexibility including on-premises and VPC options
  • Data security with no retention and full traceability
  • Continuous model improvement from production traffic
  • Customer ownership of model weights and training recipes
  • 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
  • Customers own specialized models trained on proprietary data, not rented general-purpose models
  • Achieve frontier-level quality at lower costs through specialized training
  • Five years of experience with diverse post-training and optimization methods
  • Models ship production-ready in weeks with ongoing improvement capability
  • Secure deployment with no data retention and auditable access controls
  • 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)75 no change since last check38 +1 (up) since last check
Trust Flow (Majestic)227
Citation Flow (Majestic)4427
Referring domains (Majestic)352966

6 details filled in for both companies.

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