After a deepfake voice fooled her grandfather, this founder sprang into action

Phone calls will soon include built-in deepfake voice detection, like existing spam filters.

Tarini Padmanabhuni founded DetectifAI after her grandfather was defrauded by a deepfake voice scam, losing money to a fraudulent ransom demand. The incident, which occurred about two years prior to the article's publication, highlighted the inability to distinguish AI-generated voices from real ones. Padmanabhuni's company, DetectifAI, aims to address this growing problem by developing technology to detect deepfake voices. The FBI reported that Americans lost nearly $900 million to AI-driven scams in the previous year, with individuals over 60 losing twice as much as those aged 50-59. While other companies offer deepfake voice detection, DetectifAI differentiates itself by designing compact AI models that can run directly on smartphones, providing real-time detection without audio leaving the device. The company's strategy is to license its software development kit (SDK) to phone manufacturers, allowing deepfake detection to be integrated as a built-in operating system feature.

DetectifAI's core innovation lies in its approach to model design, creating compact AI models optimized for on-device execution rather than relying on large, cloud-based systems. This allows for immediate, real-time voice analysis during live calls or within voice messages, fundamentally changing the user experience by preventing scams before they can succeed. The company's licensing strategy targets phone manufacturers, aiming to make this technology a standard, pre-installed feature akin to camera quality or battery life, thereby democratizing access to robust security against voice-based fraud.

The market for AI-driven scam prevention is rapidly expanding, with significant financial losses reported by victims, particularly older demographics. By offering an embedded solution, DetectifAI positions itself to capture a significant share of this market by appealing to device makers seeking competitive differentiation and enhanced user safety. The company's early revenue from financial institutions in India, handling AI voice agents for collections and loan follow-ups, demonstrates the practical application and demand for its technology in both consumer and business contexts.