Detect Deception, Deepfakes, Stress & Intent in Real-Time with Cognitive Emotion AI

Behavioral Signals provides advanced AI-driven voice intelligence that empowers public sector agencies to detect deception, emotional stress, and behavioral anomalies in real-time.

Our core technology leverages proprietary behavioral signal processing (BSP) and affective computing to analyze how something is said, not just what is said. By extracting emotional, cognitive, and psychological cues from speech, our solution enables agencies to gain deeper insight into intent, truthfulness, and behavioral risk.
In defense and intelligence settings, this capability becomes a force multiplier. Whether conducting field interviews, analyzing intercepted communications, or assessing call center interactions, our technology helps uncover hidden stress, manipulation, or high-risk indicators—without relying on content or translation. It is speaker-agnostic and works across languages, dialects, and environments.

For homeland security and law enforcement, this means faster threat detection and triage during call reviews, border screenings, and investigations. For public-facing agencies, such as unemployment services or healthcare hotlines, it means identifying emotionally distressed or potentially fraudulent callers earlier in the process, allowing for faster intervention or escalation.

Unlike legacy systems, Behavioral Signals does not require biometric enrollment or historical transcripts. It works instantly, in real-time or on past recordings, and can be deployed via API or integrated directly into existing contact center and analysis workflows. Our technology is trusted by global enterprises and has been successfully tested in dual-use applications across commercial and defense contexts.

With growing threats from misinformation, deepfakes, and social engineering, Behavioral Signals offers government agencies a new layer of protection, one that goes beyond words to analyze the why behind the voice. Our mission is to support secure, ethical, and scalable adoption of emotion-aware AI in the public sector, helping agencies make better decisions, faster.