Aurigin AI

Aurigin AI is a voice anti-spoofing and liveness detection platform that identifies synthetic, cloned, and AI-generated voices in real time. It is designed for integration into voice biometric systems, contact center platforms, and authentication providers. Core functionality: - Analyzes audio streams to detect whether a voice is human or artificially generated - Returns liveness verdicts in under 50 ms with calibrated confidence scores and segment-level localization - Covers the full spectrum of voice spoofing attack types: text-to-speech (TTS), voice conversion (VC), replay attacks, and personalized voice cloning Detection capabilities: - 98%+ accuracy across benchmark datasets - Supports 80+ languages with a language-agnostic neural architecture - Compatible with audio ranging from 8 kHz narrowband to 48 kHz WebRTC - Continuously retrained against emerging voice cloning tools (e.g., ElevenLabs, XTTS, RVC, Bark) Integration options: - REST API: single HTTP endpoint, under 5 minutes to integrate - Native SDKs: libraries for Python, TypeScript (Node.js), and Swift, installable via pip, npm, or CocoaPods - On-premise deployment via Docker or Kubernetes with full data sovereignty Compliance and privacy: - GDPR, SOC 2, and ISO 27001 compliant - Cloud API deletes audio immediately after analysis; no audio stored or used for training - On-premise option ensures no audio leaves customer infrastructure The platform is marketed to B2B partners and is built in Switzerland.