Fraud hurts your clients and you.
New AI can cut fraud by more than 50%.
Get actionable risk analysis from every call and questionnaire. Cut call center time by 50%.
Use FeelGPT to analyze FNOL voice calls for fraud detection, or send AppTone mobile voice questionnaires. No installation needed.
Get fraud analysis and reports in under 15 minutes while cutting call center time and improving service level.
Turn Voice Data Into Decision Support
Every call and claimant interaction is rich with insights – when analyzed properly using LVA, a unique voice analysis technology developed over more than 25 years, used by governments and organizations worldwide.
Emotion Logic's fraud detection tools turn that emotional and factual data into a fast, reliable, and easy-to-read report to support your decision-making process.
FeelGPT is a new-generation AI Agent that processes audio files using Layered Voice Analysis (LVA), extracting uncontrolled emotional biomarkers like stress, hesitation, and confidence, and then overlays them with speech-to-text transcripts for expert-level AI fraud detection analysis.
AppTone delivers secure questionnaires to any cellular device to complete any data intake procedure via messaging apps or a web interface, efficiently capturing claimant responses and enabling deep fraud analysis within seconds.
Transforming Insurance Claims Processing
Enhanced Decision Support
Claim managers receive in-depth reports highlighting emotion-word mismatches, potential risks, and suggested next steps.
Operational Efficiency
Operations teams cut call center time by at least 50% by avoiding lengthy manual data entry.
Accelerated Processing
Decision-making accelerates, enabling fast-track payouts or focused investigations within seconds of receiving the report.
Features
FeelGPT Voice Analysis
Captures risk & emotional cues from speech beyond words. Ideal for detecting deception or confusion in claims.
AppTone Questionnaire Workflow
Designed to gather robust claimant data via a simple chat interface and immediately scans for emotion and consistency.
Zero Installation, 15-Minute Onboarding
Get started delivering value fast with cloud-based access. No IT burden.
Multi-Industry Ready
Built for insurance FNOL, loan vetting, credit risk assessment, sales verification – works wherever there's a direct discussion with a knowledgeable person.
Fraud-Reduction Cost Guarantee
Align your return with results. Pay only when fraud reduction is achieved.
Built with Compliance in Mind
SOC 2-certified, GDPR-ready, minimal exposure to personal data.
This is what a fraud case report looks like
This is a report generated when AppTone identifies a high-risk fraud case.
We process voice and prepare reports in over 140 languages.
Trusted Framework
Originally developed for high-stakes intelligence and HLS applications, Emotion Logic's LVA technology is now optimized for business workflows, including insurance procedures, underwriting, claims, and fraud detection through automated analysis of voice calls and voice questionnaires.
Start today with free credits. See the impact in days.
Claim managers get full reports within seconds, empowering faster and more confident decisions. Call center and operations teams reclaim hours normally spent on manual intake.
Pay-as-you-go plans thereafter. Starting from USD 0.50 per minute of analysis.
Use Cases
Any type of claim, underwriting, and compliance task. We have AI and automation for it.
Language Support
Process calls in over 100 languages; generate reports in even more.
Availability
Available via Cloud UI, secure API, or Docker (limited version; talk to us).
Compliance
Compliance documentation available: SOC 2 certification, GDPR Assessment/processing guide, and API security specifications.
Ready to pilot or need microsite copy, layout, or wireframe draft? Just say the word.
About Emotion Logic (EMLO)
Emotion Logic, founded in 2022, is a daughter company of Nemesysco Ltd. Managed by Amir Liberman, inventor of the LVA technology, EMLO specializes in advanced mergers of AI and Layered Voice Analysis (LVA) technology, initially proven in high-stakes intelligence and HLS applications.