Aurigin.ai

Aurigin.ai develops audio deepfake detection and voice anti-spoofing technology for voice biometric systems. The company provides an API and SDK that identify synthetic, cloned, and AI-generated voices in real time, aimed at protecting biometric authentication pipelines from spoofing attacks. The core product detects a range of voice spoofing techniques, including text-to-speech synthesis, voice conversion, replay attacks, and personalized voice clones. According to the company, the detection model processes audio in under 50 milliseconds and reports over 98% accuracy across more than 80 languages, covering telephony and WebRTC audio conditions from 8 kHz to 48 kHz. Aurigin.ai targets voice biometric companies, contact center platforms, and authentication providers as customers. Integration options include a REST API, native SDKs for Python, TypeScript, and Swift, and on-premise deployment via Docker or Kubernetes for customers requiring full data sovereignty. The company states that audio is not stored during cloud processing and is deleted after analysis, and it references compliance with GDPR, SOC 2, and ISO 27001. The company describes itself as Swiss-built and EU-sovereign, with models retrained against current voice synthesis engines such as ElevenLabs, XTTS, RVC, and Bark to keep pace with new voice-cloning methods.