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.
Every call and claimant interaction is rich with insights – when analyzed properly. 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.
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 - scanning emotion and consistency immediately.
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.
Real Results in Action
This is how it looks when AppTone catches fraud right at the door (real case example)
AppTone's vocal risk assessment aligns strongly with traditional fraud detection systems while providing unique behavioral insights. All cases tested were initially flagged by the previous fraud detection system.
High Risk (52%)
Rejected Claims: 70%
Paid Claims: 30%
Medium Risk (13%)
Rejected Claims: 50%
Paid Claims: 50%
Low Risk (35%)
Rejected Claims: 25%
Paid Claims: 75%
52% of high-risk claims flagged by standard systems were also detected by AppTone's vocal analysis. The 70% rejection rate in high-risk vocal cases demonstrates strong predictive power. Low-risk cases showed 75% payment approval, confirming AppTone's accuracy in identifying legitimate claims through voice patterns, and the potential to save significant resources on non-fraudulent cases.
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. See the Impact in Minutes.
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.