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Ember AI 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.

Ember AI compared with iLang Inc.
Detail Ember AIiLang Inc. logo iLang Inc.
What it doesAI sales assistant that drafts client follow-ups in your voice from your real inbox The native language of AI; in human terms, a protocol.
StageGrowing Startup
FoundedNot given 2026
Based inNot given CA
Pricing modelNot given Open source
PricingFree plan with 300 one-time credits. Growth plan at $79/month with 100 managed contacts and 1,000 credits/month. Pro plan at $329/month with 500 managed contacts and 5,000 credits/month. Enterprise at custom pricing with 1,000+ managed contacts. Unlimited seats on all plans. Not given
Key features
  • Reads email and CRM to identify best prospects
  • Drafts personalized emails in your voice from actual conversation history
  • Approval-first workflow with optional auto-send
  • Contact enrichment and profile updates
  • Learns your writing style through approvals and edits
  • Shared team view with unified inbox for outreach
  • Integrates with Gmail, Outlook, HubSpot, and Attio
  • Sends from your real existing inbox
  • 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
  • Treats every relationship individually rather than using fixed cadences
  • No sequences or templates required
  • Approval required by default, not auto-send
  • Works on top of existing CRM without migration
  • Continuous proactive relationship management 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
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)Not checked yet no change since last check38 +1 (up) since last check
Trust Flow (Majestic)47
Citation Flow (Majestic)627
Referring domains (Majestic)966

4 details filled in for both companies.

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