Personalized Agent Intelligent Routing (PAIR)

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Personalized Agent Intelligent Routing (PAIR) is an automated call routing solution that uses emotion AI and voice data to match the customer to the best-suited agent to handle the specific call. This match is based on profile data and our superior algorithms developed from years of research and experience in NLP and Behavioral Signal Processing. Whatever the objective, there is always a catalyst that would allow both sides to reach the desired result. That contributing factor is usually a simple and naturally occurring human process: the affinity or rapport developed between people. Regardless of the type of business communication (sales call, support, collection), it will always be an interaction between real humans, where rarely is the affinity identical between two pairs of people. We have specific behaviors and traits that help us get along with some people, better than with others. Working with optimal customer-agent behavioral matching means building great rapport between two humans, which can lead to less handling time and first call resolution. Not to leave out how a good conversation can lead to a positive reputation and love for a brand.

BEHAVIORAL SIGNALS API

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Founded in 2016, Behavioral Signals enhances communication between humans and human-to-machine by deducing intelligent and actionable insights from voice using deep learning and NLP. Behavioral Signals offers a new level of customer understanding and leverages its advanced acoustics engine to not only discover genuine emotion but also predict the speaker's intent via behavioral analysis.

Deepfake Speech Detection On-Demand

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For organizations that need to trust digital communications, Behavioral Signals is the AI company that protects authenticity in voice and conversational interactions. Unlike traditional deepfake detection solutions, we combine behavioral intelligence, speech emotion AI, and signal processing expertise to identify synthetic and manipulated communications.

Deepfake Speech Detection for Contact Center

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Voice has become the fastest-growing attack surface for fraud. From AI-generated deepfake voices to spoofed caller IDs and impersonation attempts, contact centers are increasingly targeted as enterprises scale automation, IVR self-service, and conversational AI. Traditional security measures, knowledge-based questions, static rules, and one-time passwords were not designed for synthetic speech attacks and are easily bypassed. Biomarkers are becoming obsolete. The result: higher fraud losses, longer call handling times, and a degraded customer experience. Behavioral Signals enables contact centers to detect and stop deepfake-driven fraud in real time, without adding friction for legitimate callers.