Stop deepfakes and social engineering in their tracks
Catch fraud and scams in the moment
Fraudsters are good at what they do. They know how to hide in shades of grey, subtly pressure trained agents, and bypass protections without raising flags. To catch them in the act, you need to recognize vocal inconsistencies, manipulation attempts, and other subtleties in real-time.
Listen and prevent voice fraud
Traditional fraud prevention has a gaping hole at its center. Transaction monitoring, call metadata, or post-call analysis all are useful tools - but they miss out on what’s actually happening live in the voice conversations where the fraud actually occurs.
Modulate’s Velma closes that gap. Velma is a voice-native model that recognizes deepfakes, understands social engineering, flags violations of your guardrails, and much more - flagging deceptive intent to your agents before they get taken for a ride.
Customize Velma in minutes to prioritize the risks most relevant to you. Rely on Velma’s detailed summaries for compliant tracking or followup investigations. And watch how Velma starts saving you money - while making the user experience even more seamless.
By the Numbers
In 2024, account takeover fraud cost US adults approximately $15.6 billion, a 23% increase from the previous year.
ATO incidents rose by 13% compared to 2023, while multi-accounting cases increased by 10% year-over-year.
In 2023, the total cost of insurance fraud (non-health insurance) in the U.S. was estimated to exceed $80 billion.
74% of financial and retail leaders report deepfake or voice-cloning incidents as a major or moderate concern.
What Modulate detects
Modulate of course recognizes suspicious comments, but augments this with voice-native signals to increase accuracy and speed of detection. These signals include:
Scripted or rehearsed speech patterns
Emotional incongruence (urgency without stress, calm under pressure)
Hesitation, contradictions, and recall gaps
Background indicators of coordination or coaching
Voice mismatch against known account holders
Synthetic or AI-generated voice indicators
Elevated stress and cognitive load markers
When flagging potential fraud, Modulate surfaces these underlying signals as well, tying them directly back to the original audio to support confident, defensible, and compliant decisions—not black-box risk scores.
Don’t settle for second-best
Velma consists of hundreds of voice-native models, each trained on a custom dataset to hold up in real-world conditions where other models fail. Critically for fraud prevention, Velma’s deepfake detector is the best in the world, proven to generate less than half the errors of the next-best model. But don’t take our word for it - see how we stack up on Hugging Face’s independent leaderboard!
Built for regulated, high-stakes environments
Modulate is designed for industries where accuracy, speed, and explainability matter:
Banking & financial services
Insurance & claims processing
Retail & ecommerce
Telecom & utilities
The platform delivers low-latency detection with transparent outputs that support audits, disputes, and regulatory requirements.
Insights that fit your workflow.
Pairing Velma’s industry-leading intelligence with the reliability and control required for enterprise.
Dashboards and Review Console
Explore conversations and escalations in a UI designed for operations teams—fraud, trust & safety, and contact center leadership.
APIs and Webhooks
Bring voice intelligence into your stack: route signals into case management, risk engines, agent coaching tools, or moderation workflows.
Integrations
Deploy without ripping and replacing. Connect into the voice infrastructure you already use.
Stop fraud before the call completes
Catching fraud after the fact is expensive. Catching it during the conversation changes the outcome.
Modulate can help you gain the voice-native intelligence needed to intervene early, protect customers, and reduce preventable losses. Talk to our team today.