Voice Authenticity: Use Cases for HR, Legal, Insurance

HR teams use ORAVYS to gain deeper understanding of candidate communication patterns during interviews. The platform analyzes vocal confidence, cognitive load indicators, and communication clarity across 178 engines. This provides structured data to complement traditional assessment methods, helping recruiters identify strong communicators and flag potential incongruences between verbal claims and vocal bio-acoustic signals. All analysis complies with EU employment regulations and is designed as a decision-support tool, never as an automated decision-maker.

Legal professionals leverage ORAVYS for voice evidence analysis in depositions, witness testimony, and recorded statements. The platform provides detailed bio-acoustic reports showing stress markers, vocal incongruence patterns, and authenticity scores. These reports include full methodology disclosure and confidence intervals, making them suitable for expert testimony. The system also detects whether audio recordings have been synthetically generated or tampered with, providing critical deepfake detection for evidence integrity.

Insurance investigators use voice authenticity analysis to assess claim statements. When claimants describe incidents, ORAVYS analyzes 137 acoustic features per frame to detect patterns associated with rehearsed narratives, elevated cognitive load, and vocal incongruences. The multi-engine approach means individual anomalies are evaluated in context rather than in isolation, reducing false positives while maintaining sensitivity to genuine incongruence patterns.

Investment firms and M&A teams deploy ORAVYS during due diligence calls with management teams. The platform's financial prosody engines analyze vocal patterns during discussions of financials, projections, and risk factors. Bio-acoustic markers of confidence, uncertainty, and stress provide an additional data layer that complements traditional financial analysis. This is particularly valuable for earnings calls, pitch meetings, and management interviews.

Researchers in psychology, linguistics, and communication sciences use the ORAVYS Academic API to process voice datasets at scale. The 110-engine output provides rich feature sets for studies on vocal affect, cross-cultural communication patterns, vocal biomarkers, and speech pathology. The platform's standardized output format simplifies data integration and reproducibility across research institutions.