About
Modulate is a frontier voice AI company that has developed Velma, the world's first production Ensemble Listening Model (ELM). Unlike traditional voice AI stacks that simply transcribe audio and pass text to a language model, Velma is voice-native — trained on hundreds of millions of hours of real conversations to capture nuance, emotion, cultural context, and intent directly from audio. Velma powers Modulate's enterprise intelligence platform across a wide range of industries including gaming and social platforms, CX and contact centers, insurance and banking, and IT helpdesk environments. It delivers real-time conversation monitoring, sentiment and emotion analysis, deepfake detection, fraud identification, and AI agent guardrails. According to Modulate's benchmarks, Velma is 51% more accurate than Google Gemini and offers 25x better cost performance than foundation models for conversation understanding tasks. It also holds the #1 position for transcription accuracy in real-world conditions. Key use cases include reducing agent attrition in call centers, detecting commercial fraud and social engineering, enforcing community safety in live gaming environments, ensuring regulatory compliance, and monitoring AI voice agents for risky or off-policy behavior. The platform connects to CCaaS, VoIP, and telephony providers for seamless audio ingestion and supports a Speech-to-Text API for developers. Modulate is built for enterprises that need reliable, explainable voice intelligence at scale.
Key Features
- Ensemble Listening Model (Velma): A voice-native AI architecture trained on hundreds of millions of hours of real conversations to understand emotion, intent, and nuance directly from audio — not just transcribed text.
- Real-Time Conversation Intelligence: Detects key conversational behaviors including aggression, policy violations, complaints, and deception in real time with the highest accuracy-to-cost ratio in the market.
- Speech-to-Text API: Industry-leading transcription accuracy in real-world conditions at 10x lower cost than competitors, with a dedicated API for developer integration.
- Deepfake & Fraud Detection: Identifies deepfake-driven manipulation, social engineering, and coordinated fraud attacks in voice conversations before financial or reputational damage occurs.
- AI Agent Guardrails & Compliance: Monitors AI voice agents like human agents — evaluating behavior, flagging risky interactions, and generating transparent, structured compliance reports.
Use Cases
- Contact centers using Velma to monitor agent and customer conversations in real time, reducing attrition and improving customer experience quality.
- Banks and insurance companies detecting voice-based social engineering and deepfake fraud attempts before transactions are authorized.
- Gaming and social platforms enforcing community safety policies by flagging toxic, aggressive, or policy-violating voice chat in real time.
- Enterprises deploying AI voice agents and using Modulate to evaluate agent behavior, catch risky interactions, and maintain regulatory compliance.
- Developers integrating Modulate's Speech-to-Text API into conversation analytics pipelines to achieve industry-leading transcription accuracy at reduced cost.
Pros
- #1 Accuracy at Lower Cost: Velma is benchmarked as 51% more accurate than Google Gemini and 25x more cost-efficient than foundation models for real-world conversation understanding.
- Voice-Native Architecture: Built to process audio directly rather than relying on text transcription pipelines, preserving emotional and contextual signals lost in traditional approaches.
- Broad Industry Applicability: Supports diverse enterprise use cases across gaming, financial services, contact centers, and IT helpdesks from a single unified platform.
Cons
- Enterprise-Focused Pricing: Modulate targets enterprise customers, making it less accessible to small teams or individual developers seeking lightweight voice AI solutions.
- Limited Self-Serve Transparency: Pricing details and trial access require direct contact with the sales team, which can slow evaluation for prospective buyers.
Frequently Asked Questions
What is Velma and how is it different from other voice AI models?
Velma is Modulate's Ensemble Listening Model (ELM) — a voice-native AI that understands conversations directly from audio rather than converting speech to text first. This preserves emotion, tone, and contextual nuance that traditional transcription-based pipelines lose.
What industries does Modulate serve?
Modulate serves gaming and social platforms, CX and contact centers, insurance and banking, and IT helpdesk environments, with solutions tailored to fraud detection, community safety, agent performance, and compliance.
Does Modulate offer a Speech-to-Text API?
Yes. Modulate offers a Speech-to-Text API that delivers the #1 transcription accuracy in real-world conditions at 10x lower cost than competing solutions.
Can Modulate monitor AI voice agents?
Yes. Modulate's platform includes AI agent guardrails that evaluate AI voice agent behavior, flag risky or off-policy interactions, and help maintain trust and compliance at scale.
How does Modulate handle fraud and deepfake detection?
Velma is trained to identify deepfake-driven voice manipulation, social engineering tactics, and coordinated fraud patterns in real time, allowing organizations to intervene before financial loss occurs.
