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AMDY.IO vs RELAI

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 RELAI
DetailAMDY.IO logo AMDY.IORELAI logo RELAI
What it doesAI answering machine detection for ViciDial and outbound dialers that keeps 10–20% more live prospects The continual learning engine for AI agents
StageNot given Not given
Founded2022 Not given
Based inUS Not given
Pricing modelNot given Freemium
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, RELAI Free: $0. RELAI Enterprise: Custom pricing.
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
  • Capture signals from code, requirements, and production traces
  • Build and maintain EvalsWiki as versioned behavioral knowledge
  • Find missing eval coverage and unclear expectations
  • Generate complete evals with scenarios, environments, and evaluators
  • Optimize harness across prompts, tools, workflows, and code
  • Multi-objective optimization for quality, cost, latency, and KPIs
  • Model selection, migration, and routing with evaluation
  • Regression-controlled improvement with evaluation evidence
  • Versioned storage in repository with pull requests
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
  • Turns failures into replayable learning environments
  • Prevents regressions by keeping previous evals in the loop
  • Integrates with existing observability stacks and traces
  • Preserves business intelligence versioned in repository
  • Adapts harness to model changes without redefining use cases
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 check23 no change since last check
Trust Flow (Majestic)513
Citation Flow (Majestic)2525
Referring domains (Majestic)3779

4 details filled in for both companies.

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