Emotion Logic is the global leader in Artificial Emotion Intelligence (AEI), providing best in class vocal analysis tools for high-stakes industries including Insurance, Finance, HR, and Government.
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Sign InEmotion Logic is a pioneering platform in Artificial Emotion Intelligence (AEI), specializing in advanced vocal analysis to decode human emotions and cognitive states from speech. It delivers best-in-class, scientifically validated insights for high-stakes decision-making, transforming raw voice data into actionable intelligence on honesty, stress, engagement, and emotional authenticity. Its core value lies in providing objective, real-time emotional analytics that enhance risk assessment, customer interactions, and operational efficiency across critical industries.
Key features: The platform offers layered voice analysis (LVA) to detect micro-tremors and physiological changes in the voice that indicate emotional arousal, cognitive load, or deception. It provides genuine emotion insights through APIs for integration into call center software, HR systems, and fraud detection pipelines. Specific capabilities include real-time stress detection during customer calls, assessment of honesty in insurance claims or financial disclosures, and analysis of employee engagement and mental well-being in workplace interactions. The system also supports sentiment analysis and customer experience optimization by measuring emotional valence in conversations.
What sets Emotion Logic apart is its foundation in proprietary AEI research and a focus on high-stakes, regulated environments where accuracy is paramount. Unlike generic sentiment analysis tools, it analyzes non-linguistic vocal biomarkers, making it language-agnostic and highly resistant to manipulation. The technology integrates seamlessly via APIs with existing CRM, compliance, and telephony systems, allowing for real-time alerts and post-call analytics. Its models are trained on extensive, diverse datasets to ensure reliability across different demographics and use cases.
Ideal for enterprises in insurance, finance, banking, government, and human resources that require robust emotional intelligence tools. Primary use cases include fraud detection and risk assessment in insurance claims processing, enhancing client satisfaction and compliance monitoring in financial services call centers, improving hiring processes and employee engagement analysis in HR, and supporting mental health and honesty assessments in security-sensitive government operations. It is also valuable for software developers building customer experience or security applications that require embedded emotion sensing.
Pricing follows a freemium model with a free tier offering basic analysis capabilities. Paid plans, which provide advanced features, higher usage limits, and enterprise-grade support, typically start from approximately $99 per month for professional tiers, with custom enterprise pricing available based on volume and specific integration requirements.