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AMDY.IO 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.

AMDY.IO compared with iLang Inc.
DetailAMDY.IO logo AMDY.IOiLang Inc. logo iLang Inc.
What it doesAI answering machine detection for ViciDial and outbound dialers that keeps 10–20% more live prospects The native language of AI; in human terms, a protocol.
StageNot given Startup
Founded2022 2026
Based inUS CA
Pricing modelNot given Open source
PricingSandbox: Free with 50,000 detections/month, no card required. Starter: $79/month with 500,000 detections included, $0.00025 per detection over included. Growth: $299/month with 5,000,000 detections included, $0.00015 per detection over included. Scale: $999/month with 25,000,000 detections included, Not given
Key features
  • 99% accuracy answering machine detection
  • Sub-200 millisecond response time
  • Real-time dashboard with carrier analytics
  • Detects carrier false-answer supervision (FAS)
  • Compliance audit logging for TCPA and HIPAA
  • WebSocket API for all dialers
  • Unlimited ViciDial servers with no per-server fees
  • Open-source SDKs for TypeScript, Python, C#, Ruby, and Rust
  • GDPR-ready compliance exports on Scale plan
  • 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
  • Eliminates ghost calls and dead air from false positives
  • Works with any carrier and SIP trunk without switching providers
  • 50X return on investment
  • 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)34 +1 (up) since last check38 +1 (up) since last check
Trust Flow (Majestic)57
Citation Flow (Majestic)2527
Referring domains (Majestic)3766

5 details filled in for both companies.

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