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Oberik 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.

Oberik compared with iLang Inc.
DetailOberik logo OberikiLang Inc. logo iLang Inc.
What it doesAgent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation The native language of AI; in human terms, a protocol.
StageNot given Startup
FoundedNot given 2026
Based inNot given CA
Pricing modelFree Open source
PricingFree during launch period. Customers pay their LLM provider directly for model usage at provider rates; Oberik does not markup or resell tokens. No credit card required, no usage meters tracked by Oberik itself. Not given
Key features
  • Document-grounded answers with page and quote citations
  • Linux sandbox environment for agent execution
  • Per-customer cost tracking and billing
  • Memory and wiki persistence across sessions
  • Scheduled and recurring work with durability
  • Capability-scoped JWT tokens enforced per-request
  • Support for custom tools and MCP servers
  • Multi-model support with bring-your-own-keys
  • Server-side prompt injection and PII screening
  • SSH dashboard interface for programmatic configuration
  • 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
  • Hard isolation between customers with no shared state or tenant leakage
  • Citations with document, page and quote provided automatically with every answer
  • Only two API calls needed to integrate grounded AI into any SaaS product
  • Customers never charged by Oberik; direct billing from their own LLM provider keys
  • 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)1 no change since last check38 +1 (up) since last check
Trust Flow (Majestic)27
Citation Flow (Majestic)2127
Referring domains (Majestic)1966

4 details filled in for both companies.

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