Modulate
PaidAudio-native voice AI platform that analyzes live conversations to detect fraud, deepfakes, abuse, emotion, and compliance risks in real time.
Informations sur l’outil
Qu'est-ce que Modulate ?
Modulate is a frontier voice AI company that provides enterprise and developer access to Velma, an Ensemble Listening Model and related APIs. It understands full voice conversations beyond transcripts, surfaces risks such as scams and harassment, and supports safer customer interactions, agent welfare, and compliance.
Fonctionnalités principales
Velma Ensemble Listening Model
Audio-native voice intelligence model that listens to and understands full conversations, claimed to be 2x-4x more accurate than LLMs at conversation understanding and able to process millions of simultaneous calls.
Real-time fraud and scam detection
Detects deepfakes, social engineering, urgency cues, coercive tone, refund abuse, account takeovers, phishing patterns, and coordinated attacks during live calls with real-time agent alerts.
Deepfake detection
Flags AI-generated, cloned, or synthetic voices; ranks #1 on Hugging Face deepfake leaderboard.
Emotion and temperament detection
Reads emotional tone and affect in voices and provides live-updated context to AI or human agents for empathy and escalation.
Abuse and agent safety monitoring
Scores abusive or aggressive calls, flags emotionally volatile conversations, issues real-time alerts, and supports automatic break encouragement after brutal interactions.
Speech-to-text and transcription
Part of the voice suite that captures words as a foundation while Velma adds higher-level understanding; claims #1 spot on Hugging Face transcription benchmark.
PII/PHI redaction
Redacts personally identifiable and protected health information from audio pipelines.
AI music and singing detection
Detects AI-generated music and singing within audio signals.
Conversation scoring and QA support
Consistently assesses and scores conversations to identify top-performer traits, catch struggling agents, reiterate procedures, and log flagged calls for audits.
Multilingual privacy-first processing
Maintains privacy-first voice understanding across 18 languages with accuracy without multi-week tuning, built on 500 million+ hours of real-world conversations.
Cas d'utilisation
- #1
Fraud prevention in contact centers
Intercept scammers and fraudsters on support calls by detecting deepfakes, social engineering, and suspicious patterns in real time to protect customers and reduce financial loss.
- #2
AI agent guardrails
Provide live emotion, temperament, and risk context to AI agents while detecting violations and routing special or risky callers appropriately.
- #3
Human agent welfare and attrition reduction
Automatically score abusive calls, encourage breaks after difficult interactions, and escalate volatile conversations to supervisors to support agent sustainability.
- #4
Compliance and risk monitoring
Surface policy misalignment, security protocol bypasses, unresolved disputes, and other compliance violations with automatic logging for audits.
- #5
Trust and safety / user safety
Detect harassment, threats, and disruptive behavior in voice interactions across gaming, social, and other platforms to enable enforcement while preserving experience.
- #6
Contact center workforce management and CX quality
Ensure consistent brand experience by monitoring SOPs, scoring agent performance, and identifying training or escalation needs in real time.
Plans tarifaires
Simple usage-based pricing for API and enterprise platform; separate listings for API Pricing, Enterprise Platform Pricing, and ToxMod Pricing. Claims up to 90% lower cost than competitors with transparent usage-based fees and no unexpected conversions.
Alternatives
Foire aux questions
What is Modulate?
What is Velma?
Does Modulate detect deepfakes in real time?
How does Modulate support contact center agents?
What languages does Modulate support?
What is Modulate’s pricing model?
Modulate Contacts et réseaux sociaux
- Assistance
- Site Internet :
- Twitter
- YouTube
- LinkedIn
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