Next-Generation Voice Security

Our platform uses AI voice intelligence and human voice verification to detect synthetic speech, impersonation attempts, and fraudulent calls in real time.

Detect Deepfake Voices & Prevent Impersonation Fraud in Seconds

Built for banks, fintech platforms, telecom providers, and government services, it ensures secure voice interactions and trusted digital transactions.

99.6%

Detection Accuracy

<2s

Detection Time

85%

Fraud Loss Reduction

24/7

Monitoring

Key Capabilities

AI Deepfake Voice Detection

Identifies synthetic speech & cloned voices instantly with advanced neural networks.

Human Voice Authentication

Verifies real speaker authenticity & prevents impersonation with precision.

Multilingual Voice Intelligence

Supports multiple languages & regional accents with global accuracy.

Real-Time Fraud Alerts

Instant risk scoring & explainable fraud alerts for immediate action.

How Our AI Detects Fraudulent Voices

Step 1

Audio Processing

Voice input is normalized and segmented into overlapping windows to capture hidden synthetic artifacts.

Step 2

Hybrid Feature Analysis

Mel-spectrogram & LFCC features detect prosody anomalies and high-frequency vocoder noise.

Step 3

Deep Learning Detection

Multi-path CNN analyzes temporal rhythm, spectral glitches, and synthetic patterns intelligently.

Step 4

Fraud Confidence Engine

AI assigns fraud probability and flags suspicious voice activity in real time with precision.

Step 5

Explainable Security Insights

Provides reasons such as robotic prosody, harmonic inconsistencies, or vocoder artifacts detected.

Recognition & Achievement

Recognized among the Top 10 Innovations at India AI Impact Summit 2026 Buildathon, our technology is driving advancements in AI-powered voice security and fraud prevention.

This achievement highlights our commitment to combating voice-based fraud and deepfake threats through innovative AI solutions.

We continue to build secure, trustworthy digital communication systems for the future.