DetectifAI Launched On-Device Voice Scam Detection

San Francisco-based startup developed software to identify AI-generated voices directly on smartphone hardware.

Updated on Sept. 28, 2026 in Artificial Intelligence

Isometric editorial illustration of a silicon microchip on a desk surface, surrounded by translucent glass audio waveforms, representing AI security software.
San Francisco-based DetectifAI has launched new on-device software designed to identify and block AI-generated deepfake voice scams in real time. AI Illustration. Upload story photo >

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Do you feel confident that your phone’s current security measures effectively protect you from AI-generated scams?

Tarini Padmanabhuni founded San Francisco startup DetectifAI to provide on-device software that identifies AI-generated voice scams. The company is currently testing its technology, having processed over 100,000 calls monthly for financial institutions in India.

Why it matters

The company targets a growing fraud landscape where Americans lost $900 million to AI-driven scams in 2025, a 24% increase from 2024. The founder launched the venture following a personal experience where her grandfather lost money to a deepfake voice scam.

DetectifAI utilizes compact AI models designed to run locally within a smartphone operating system rather than relying on cloud-based processing. The software is distributed as a development kit for integration by phone manufacturers and fraud-prevention firms.

The players

Tarini Padmanabhuni

The founder of DetectifAI who initiated the company to mitigate deepfake voice scams.

DetectifAI

A San Francisco startup developing on-device artificial intelligence software to detect fraudulent voices.

Josh Constine

A venture investor who provided seed funding for the development of the startup.

Manohar Kamath

A venture investor who provided seed funding to support the company's growth.

The details

The software functions by analyzing audio input in real-time to detect the synthetic patterns characteristic of AI-generated voices. By operating as an on-device kit, the technology avoids the latency and privacy concerns associated with sending call data to external servers for verification. The platform currently processes over 100,000 calls per month for financial institutions in India, serving as a primary testing environment for its detection logic.

Timeline

  1. 2024: Base year for tracking AI-driven scam losses.

  2. 2025: Period during which $900 million was lost to AI-driven scams.

  3. October 13-15, 2026: Company participation in the TechCrunch Disrupt Startup Battlefield.

The Tech Race

DetectifAI is positioning itself within the competitive field of local-first security software, contrasting with traditional cloud-dependent fraud detection methods. This approach aligns with broader trends in edge computing where AI tasks are moved from central servers to the user's handset.

The technology aims to integrate into smartphone operating systems, potentially alerting users to deepfake voice scams in real-time. Availability for individual consumers depends on the company's progress in licensing its software to major phone manufacturers and security firms.

The takeaway

DetectifAI is attempting to curb the rising financial toll of voice-based scams through localized, on-device detection. Readers should track the company's performance during the TechCrunch Disrupt Startup Battlefield in October 2026 to gauge the viability of their licensing model.

What happens next

DetectifAI will compete in the TechCrunch Disrupt Startup Battlefield, scheduled for October 13-15, 2026, in San Francisco.

Further reading

For more on how new tools are changing the security landscape, visit the Artificial Intelligence section.

Live Poll

Do you feel confident that your phone’s current security measures effectively protect you from AI-generated scams?