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Conversation analysis 2026 Rank: #279

Modulate ✓

Building AI that understands real conversations better than LLMs.

Source rating 5.0 (2) 21k views 30 saves Unknown
API Voice AI Conversation Analysis
More categories (4)
Emotion Recognition Language Learning Model Audio Analysis Conversation analysis
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Verdict

A quick read before you dig into the full page.

Best if
Building AI that understands real conversations better than LLMs
Skip if
No multi-language support mentioned
Pick this when
Ensemble Listening Model

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Overview

Modulate is a voice AI company that has developed the Ensemble Listening Model (ELM), which is used to understand real conversations more effectively than ordinary language learning models.

This model powers Velma, Modulate's AI tool for interpreting voice conversations. Velma stands out because it treats audio as more than just transcribed words; it's a voice-native model that understands the nuance in conversations.

Velma is effective in recognizing key conversational behaviors, including aggression, policy violations, complaints, deceit, and more. This model is also recognized for its transcription accuracy, cost-effectiveness, deepfake detection, and emotion recognition.

Modulate designed Velma with a focus on understanding people, encapsulating nuance, emotion, and intent to a high degree of accuracy. The technology is intended for use in various contexts, such as customer experience enhancement, voice conversation power, fraud prevention, AI voice agent evaluation, community safety reinforcement, and compliance assurance.

In addition, Modulate's enterprise platform enables easier integration of Velma into established workflows, offering audio analysis, risk monitoring, and the ability to trigger additional workflows.

Modulate website

Best for

Short scenarios where Modulate tends to shine.

  • Building AI that understands real conversations better than LLMs.

Example outputs 1

Sample generations and before/after results for Modulate.

Modulate screenshot
Modulate screenshot Modulate website

Access & connections

Where you can use Modulate.

Platforms

Web

API

Public API available

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Audio

Output

  • Audio

Highlights

  • API

Supported features

  • Automation
  • Integrations
  • Transcription
  • API
  • Speech API

Pros & cons

Pros

  • Ensemble Listening Model
  • Understands conversation nuances
  • Recognizes conversational behaviors
  • Aggression detection
  • Policy violation detection
  • Complaint recognition
  • Deceit detection
  • High transcription accuracy
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  • Cost-effective
  • Deepfake detection
  • Emotion recognition
  • Customer experience enhancement
  • Fraud prevention capabilities
  • Community safety reinforcement
  • Compliance assurance
  • Easier enterprise integration
  • Audio analysis feature
  • Risk monitoring capability
  • Workflow triggering
  • Voice-native model
  • Outperforms LLMs
  • Voice conversation power
  • Effective for various contexts
  • Understands people, nuance, emotion, intent
  • Data analysis for workflows
  • Real-time conversation understanding
  • 25x better cost performance
  • 51% more accurate than Google Gemini
  • Designed to understand, not transcribe
  • Speech understanding
  • Conversation Behavior Recognition
  • Real-time notification of interesting moments
  • Attrition reduction
  • Cultural context detection
  • Social engineering detection
  • Coordinated attacks detection
  • Deepfake-driven manipulation detection
  • Risky interactions flagging
  • Trust maintenance at scale
  • Structured reports delivery
  • Transparent decision breakdown
  • Can ask questions of audio
  • Always-on detection for fraud, harassment, misbehavior
  • Encourages natural speech
  • Catches hidden meanings in conversations

Cons

  • No multi-language support mentioned
  • Possible privacy concerns
  • No offline usage mentioned
  • May miss human subtleties
  • Possibility of false positives
  • Reliance on quality audio
  • Inference cost unclear
  • Potential delay in real-time analysis
Show 1 more
  • Tool's adaptability unmentioned

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Releases 1

Initial release February 12, 2026 Current
Initial release of Modulate.

In the news

Launch coverage and community mentions for Modulate.

FAQ 12

What is Modulate's Ensemble Listening Model (ELM)?
Modulate's Ensemble Listening Model (ELM) is an AI tool created to understand real-life conversations more effectively than traditional language learning models. It's a unique ensemble architecture that can comprehend the intricacies and nuances of voice conversations, even beyond mere transcription of words. This model powers Velma, Modulate's premier AI tool for voice conversation interpretation.
What is the purpose of the Velma AI tool?
The purpose of the Velma AI tool is to interpret voice conversations. It stands out because it's not just about transcribing audio to words but understanding the emotions, intent and nuances behind conversations. Velma can recognize key conversational behaviors like aggression, deceit, complaints, policy violations, and more. The technology has applications in customer experience enhancement, power voice conversations, fraud prevention, AI voice agent evaluation, community safety reinforcement, and compliance assurance.
How does Velma interpret voice conversations differently from other models?
Unlike other models that treat audio as simply transcribed words, Velma interprets voice conversations by understanding the nuances within them. It is a voice-native model that captures the sentiment, intent, and emotion to a high level of accuracy.
How does Velma recognize key conversational behaviors?
Velma recognizes key conversational behaviors such as aggression, policy violations, complaints, deceit and more, through its unique capability to understand the nuanced details in speech. It isn't just about transcribing words but understanding the true intention and emotional state behind them.
Can Velma detect deepfakes and how accurate is it?
Yes, Velma can detect deepfakes. As part of its voice AI model, Velma has the ability to identify deepfake audio manipulation. However, the specific accuracy rate is not stated in the information provided on their website.
How does Velma aid in customer experience enhancement?
Velma enhances the customer experience by providing real-time insights into voice conversations. These insights include the detection of key conversational behaviors, understanding sentiment, emotion, and intent. By understanding the true meaning of each conversation, it allows for the improvement of customer service and the overall customer experience.
What are the uses of Velma in fraud prevention?
Velma aids in fraud prevention by recognizing deceit and other fraudulent behaviors in conversation. This capability enables it to catch social engineering, coordinated attacks, and deepfake-driven manipulation before substantial financial loss occurs.
How can Velma be used for community safety reinforcement?
Velma can be used for community safety reinforcement by providing real-time voice understanding in challenging environments. It can monitor aggression, policy violations and other risks, thereby improving safety.
How does Velma ensure compliance assurance?
Velma ensures compliance assurance by delivering structured reports with a transparent breakdown of the logic behind every decision. This makes it easier to evaluate interactions for compliance with company policies or regulations.
How simple is it to integrate Velma into existing workflows?
Modulate's enterprise platform makes the integration of Velma into existing workflows simple. It offers capabilities such as audio analysis, risk monitoring, and the trigger for additional workflows.
How does Velma analyze audio?
Velma analyzes audio by considering it more than just transcribed words. It understands the emotion, nuance and intent behind each conversation, ensuring a comprehensive analysis of conversational audio.
What is Velma's role in risk monitoring?
Velma supports risk monitoring by always being on alert for fraud, harassment, and anomalous behavior across human and AI conversations. This enables proactive risk management in various interaction scenarios.
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