DetectifAI builds language-agnostic foundation models that detect synthetic speech, verify speakers, and stop voice impersonation. It secures high-risk voice conversations, primarily in financial services.
DetectifAI: Foundation Models for Voice Authenticity DetectifAI builds language-agnostic foundation models designed to detect synthetic speech, verify speakers, and stop voice impersonation across calls, devices, and AI systems. The platform focuses on securing high-risk voice conversations, primarily in financial services, by ensuring voice interactions are authentic and identities are accurately verified. Key Features Deepfake Detection: Inspects speech segments to detect synthetic, cloned, manipulated, or replayed speech in live calls and audio workflows. Speaker Verification: Compares a live voice with an enrolled reference to confirm the speaker matches the claimed identity. AI Voice Agents and Assurance: Combines authenticity, identity, context, and policy so automated systems act safely and decisions can be defended with preserved evidence. High-Speed Processing: 24 ms per-clip latency and 119 hours of audio per compute-hour, ranking as the fastest commercial system on the September 2026 Podonos benchmark. High Accuracy: Catches 97.3% of synthetic files with 94.47% overall accuracy, with no rejected samples. Flexible Deployment: Run via Cloud API, inside a private VPC or on-premises, or on the telephony edge device where the call arrives. Channel Resilience: Built to survive lossy telephony, including codecs, packet loss, resampling, compression, noisy rooms, and cheap microphones. Use Cases Financial Services Security: Secure high-risk voice conversations and transactions by verifying that a voice is real. Contact Center Authentication: Verify caller identity and detect fraud across PSTN, VoIP, mobile networks, and contact-center infrastructure.
Text-to-Speech
HQ COUNTRY
Bangalore, India
FOUNDED
2025
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