RealCall is a deepfake detection product designed specifically for telephony and audio stream analysis. It applies an ensemble of deep-learning models to analyze audio streams in real time for signs of manipulation or synthetic generation. The product is oriented toward verification and explainability use cases, including forensic investigations, media reviews, and editorial authentication workflows. It is built to support both individual file verification and large-scale enterprise deployments. Key aspects of the product include: - Audio authenticity verification via deep-learning model ensembles that detect signs of manipulation in call audio - Explainable results designed to be defensible in reports, briefings, and editorial reviews - Scalable architecture capable of handling single files or thousands of files with enterprise-grade security - Rapid upload and verification to support forensic checks and investigations