Deepfake Detection Software
Modulate's AI Model, Velma, can identify synthetic voice fraud in real time, protecting your calls, customers, and revenue - at 120x lower cost than the next leading provider.
Benchmark Results
Benchmark Results
Velma outperforms every published deepfake detection model including Resemble AI, Hylia, and Whispeak.
The Threat
AI voice cloning tools are cheap, fast, and widely available. Attackers need just 3 seconds of audio to
generate a convincing synthetic voice.
Annual Growth Rate
Deepfakes surged from 500K in 2023 to 8M in 2025
By 2027
Projected deepfake fraud losses
To Clone a Voice
85% accuracy with just 3 seconds of audio
Average Loss
Per deepfake attack incident
How Modulate's voice AI Model detects deepfakes
Identify subtle waveform and audio quality artifacts from synthetic voice generation.
Detect shallow or muted emotional expression typical of synthetic voice deepfakes.
Uncover signs of scripted or AI-generated dialogue — unusual diction, pacing, or verbosity.
Analyze flow patterns, turn-taking, and timing to flag robotic or unnatural exchanges.
Industries Served
AI vishing attacks impersonating bank reps, wire transfer fraud, and IVR authentication bypass.
Patient impersonation, prescription authorization fraud, and insurance verification attacks.
Refund and return fraud, gift card scams, and account takeover via voice channels.
Synthetic voice claims fraud, fraudulent policy changes, and impersonation of policyholders.
Financial aid fraud, student record impersonation, and registrar call fraud.
AI-assisted social engineering, executive impersonation (vishing), and high-volume inbound fraud.
REST and streaming APIs designed to plug into existing infrastructure with minimal lift.
Analyze audio in seconds and return actionable signals fast enough for live interactions.
Get results from as little as ~2.5 seconds of audio, optimized for production environments.
Use in batch pipelines or real-time systems like contact centers, authentication flows, or moderation pipelines.
Common Modulate & DeepFake Detection Capabilities Questions
Does Velma work on recorded and live calls?
Yes. Velma supports both real-time streaming and batch analysis of recorded audio files, giving you full coverage across your call library.
What is AI voice deepfake fraud — and how is it different from vishing?
Vishing is social engineering over the phone — tricking someone into revealing information or authorizing a transfer. AI voice deepfakes add a synthetic voice layer on top: attackers clone a trusted person’s voice to make the scam convincing. Velma detects both the synthetic voice signature and the behavioral fraud patterns that accompany it.
Can Velma distinguish legitimate synthetic voice users (e.g., assistive technology)?
Yes. Velma’s conversational analysis layer looks beyond voice type to intent, urgency cues, scripted phrasing, and turn-taking anomalies — distinguishing fraudulent callers from users who rely on assistive voice technology. This prevents false positives that would harm accessibility-dependent customers.
Does Velma detect video deepfakes?
Velma analyzes audio only — by design. The overwhelming majority of voice fraud happens over phone and contact center channels, not video. Purpose-built audio analysis delivers higher accuracy and lower cost at scale than generalist multimodal tools that try to do everything.
How much does Velma Deepfake Detect cost?
Velma offers usage-based pricing at a 120x improved rate compared to the competition, starting at $0.25/hour. For more information, see our Pricing page.
Book a live demo and see Velma detect a synthetic voice attack in real time. No commitment required.
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