Modulate
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About
Modulate is an advanced voice intelligence platform centered around its proprietary model, Velma. Unlike traditional voice-to-text systems that transcribe audio into text before processing it through a language model, Modulate utilizes a unique Ensemble Listening Model (ELM) architecture. This approach allows the system to understand conversations directly from the raw audio, capturing critical non-verbal cues such as tone, emotion, and cultural context that are often lost in transcription. By training on hundreds of millions of hours of real-world dialogue, the platform is specifically designed to interpret natural human speech, including interruptions and emotional shifts, without requiring users to speak with robotic clarity. The technology is primarily deployed for real-time monitoring and analysis across high-stakes environments like online gaming, customer contact centers, and financial services. Key features include the detection of social engineering, coordinated fraud attacks, and deepfake-driven manipulation. For community-focused platforms, it provides automated safety by identifying harassment and policy violations as they occur. Additionally, the platform offers specialized tools to evaluate and guardrail AI voice agents, ensuring that automated systems maintain brand standards and do not engage in risky or non-compliant interactions with customers. Designed for enterprise-scale operations, Modulate integrates with existing CCaaS, VoIP, and telephony providers to ingest audio streams seamlessly. The platform generates structured reports that provide a transparent breakdown of the logic behind its decisions, aiding in regulatory compliance and internal auditing. This transparency is a core differentiator, moving beyond "black box" AI to provide actionable insights into why a specific conversation was flagged for aggression, deception, or other behaviors. The system allows teams to trigger specific workflows, such as alerts, escalations, or automated coaching, based on the findings of the AI analysis. What sets Modulate apart is its focus on cost-performance and accuracy in adversarial environments where speakers may be shouting, using slang, or experiencing high stress. Internal benchmarks indicate that the Velma model is significantly more accurate than foundation models like Google Gemini while maintaining a much lower inference cost. This makes it a viable solution for high-volume environments that require constant surveillance without the prohibitive costs usually associated with large-scale LLM-based audio processing. The company’s commitment to ethics and transparency is reflected in its certifications and its work with major industry players like Activision Blizzard and Ubisoft.
Pros & Cons
Reported 51% higher accuracy than Google Gemini in conversation understanding benchmarks.
Provides significantly better cost performance than general-purpose foundation models.
Analyzes audio directly to capture nuance that transcription-only models miss.
Maintains high accuracy even in natural, messy, or high-emotion speech environments.
Offers transparent reporting that explains the reasoning behind every flagged interaction.
Pricing is not publicly available and requires a custom quote from sales.
The platform is focused on enterprise-level integration rather than individual consumer use.
Full functionality depends on integration with specific telephony or CCaaS providers.
Use Cases
Community managers in gaming can detect and mitigate voice chat toxicity and harassment in real-time.
Contact center leaders can monitor agent-customer interactions to improve quality and reduce customer churn.
Fraud prevention teams can identify social engineering and deepfake-driven manipulation in financial calls.
AI developers can implement guardrails to ensure their automated voice agents remain compliant and on-brand.
Compliance officers can generate detailed reports with transparent logic for auditing voice communications.
Platform
Task
Features
• real-time fraud detection
• adversarial speech processing
• ccaas and voip integration
• compliance logic reporting
• ai voice agent guardrails
• emotion and intent recognition
• deepfake voice identification
• ensemble listening model (elm)
FAQs
How does Velma differ from standard transcription-based AI?
Most voice AI stacks convert audio to text before processing, which loses nuanced data like tone and emotion. Velma uses a native Ensemble Listening Model to understand conversations directly from the audio, capturing intent and subtle emotional cues.
Can Modulate detect deepfake voices?
Yes, the Velma model is ranked as a top AI model for deepfake detection. It can identify synthesized or manipulated voices in real-time to prevent fraud and social engineering attacks.
What kind of behaviors can the system identify?
The platform is designed to recognize aggression, policy violations, complaints, and deception. It can also categorize emotional states and identify specific fraud signals during live conversations.
Which industries benefit most from this voice intelligence?
The platform is purpose-built for gaming communities, customer experience centers, and financial institutions. It is also increasingly used by companies to monitor and guardrail their own AI-powered voice agents.
How does the platform handle data privacy and compliance?
Modulate provides structured reports with a transparent breakdown of the logic behind every decision. The company maintains various certifications and follows strict data management and ethics policies to ensure regulatory compliance.
Pricing Plans
Enterprise
Unknown Price• Full Velma model access
• Real-time voice monitoring
• Fraud and scam detection
• Deepfake voice identification
• CCaaS and VoIP integration
• Compliance reporting
• AI agent guardrails
• Custom logic breakdown
Preview
Free Plan• Interactive preview of Velma
• Sample audio analysis
• Demonstration of emotion recognition
• Insight into intent detection
Job Opportunities
Analyst - Data & Product Insights
Detect fraud, harassment, and emotional nuance in real-time with an ensemble listening model that analyzes voice conversations for true meaning and intent.
Benefits:
Competitive salary + equity
Full health, dental, and vision coverage
Flexible PTO
Weekly team lunches
Hybrid work
Experience Requirements:
Strong SQL skills and experience working with large, event-based datasets
Experience building and owning dashboards
Experience analyzing product usage data and defining meaningful metrics
Proven ability to define product metrics and analyze product usage
Strong communication skills and comfort working with cross-functional partners
Other Requirements:
Product intuition and curiosity about user behavior
Strong communication skills, including presenting insights in slides or written form
Bias toward action and iteration in a fast-moving environment
Experience working on API, platform, or developer-focused products
Experience with experimentation and A/B testing
Responsibilities:
Own product metrics & definitions
Build and maintain dashboards
Build clear, concise readouts (slides, docs, summaries)
Perform deep-dive analysis investigating usage or error patterns
Translate complex data into clear narratives
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RevOps Manager
Detect fraud, harassment, and emotional nuance in real-time with an ensemble listening model that analyzes voice conversations for true meaning and intent.
Benefits:
Competitive salary + equity
Full health, dental, and vision coverage
Flexible PTO
Weekly team lunches
Hybrid work
Education Requirements:
Bachelor’s degree in Business or equivalent experience
Experience Requirements:
4–7+ years of experience in Revenue Operations, Sales Operations, or Marketing Operations
Strong proficiency with HubSpot CRM, Default, Notion
Highly analytical - able to dig into data and structure it
Exceptionally detail-oriented and process-driven
Demonstrated ability to operate strategically while executing with precision
Other Requirements:
Clear, thoughtful communicator
Energized by shaping early systems in a growing org
Passionate about AI, ethical innovation, and Modulate’s mission
Responsibilities:
Drive revenue engine excellence and optimize end-to-end processes
Build the data backbone for growth and reporting frameworks
Architect automation & AI leverage across the GTM tech stack
Translate insights into action to improve conversion rates
Own the revenue systems ecosystem including HubSpot governance
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Platform Product Manager (APIs & Applications)
Detect fraud, harassment, and emotional nuance in real-time with an ensemble listening model that analyzes voice conversations for true meaning and intent.
Benefits:
Competitive salary + equity
Full health, dental, and vision coverage
Flexible PTO
Weekly team lunches
Hybrid work
Experience Requirements:
5–7 years of experience shipping real products, from MVP to scale
Extreme ownership mindset
Strong product taste and clear passion for UX and design quality
Strong data analytics and metrics experience
Comfort operating in a fast-moving startup environment
Other Requirements:
Experience working closely with APIs, developer workflows, or technical enterprise products
Ability to prototype functional product experiences quickly
Strong communication and execution discipline across Product + Engineering
Responsibilities:
Drive end-to-end execution across key platform product areas
Translate strategy into clear scope, milestones, and shipped outcomes
Run fast build→launch→learn cycles with constant iteration
Contribute strong product design thinking and raise the UX bar
Collaborate with Engineering as the VP’s right hand
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