
When the phone call arrived, Tarini Padmanabhuni’s grandfather thought he was conversing with his sibling. The voice on the other end claimed he had been abducted and that the only way to rescue him was to pay a ransom. Her grandfather complied, only to discover later that his brother was completely elsewhere, unaware of any such events occurring. The voice was revealed to be a deepfake, an imitation generated by AI.
“What left a lasting impression on me wasn’t the financial loss,” Padmanabhuni reflects on the experience. “It was that he had no means to verify.”
That incident happened about two years ago. Currently, she states, DetectifAI, the company she established in San Francisco, seeks to prevent others from being deceived in a similar manner.
This issue is significant and expanding, accompanied by a corresponding market. According to the FBI, last year, Americans were defrauded of nearly $900 million due to AI-fueled scams, an increase of 24% from 2024. Individuals aged 60 and above suffered losses double that of those between 50 to 59 years old.
The field of deepfake voice detection is crowded with competitors, including companies like Reality Defender, Pindrop, Resemble AI, Microsoft Azure AI Content Safety, and Nuance (owned by Microsoft too). However, existing detection solutions operate in the cloud on remote servers, which, as Padmanabhuni notes, prevents phone manufacturers from integrating them directly into their devices, leaving those targeted with limited protective measures.
Instead of downsizing large cloud models for mobile suitability, as some firms do, DetectifAI claims to develop compact AI models designed from the outset to operate within a smartphone’s operating system. The goal is to provide immediate assessment regarding whether a voice is AI-generated during calls, voice messages, and other audio, without the data ever leaving the device.
DetectifAI is currently marketing its offerings first to smartphone manufacturers, licensing its software tools so detection capabilities can be included as an integral feature of the phone’s operating system. Padmanabhuni likens this approach to AT&T’s involvement in the initial iPhone launch, where the carrier’s exclusive arrangement distinguished it from competitors: The first phone manufacturer to implement DetectifAI will have a competitive advantage, she suggests.
At the core of the product is DetectifAI’s software development kit (SDK), a collection of code that other companies can integrate into their offerings, which can be licensed through pre-existing channels. Padmanabhuni notes that an additional revenue stream will arise from licensing the technology to enterprises and fraud-detection firms.
Meanwhile, the startup already generates early revenue, according to Padmanabhuni, processing over 100,000 calls monthly for financial institutions in India. These calls are made by AI voice agents managing debt recovery and loan document follow-ups, with deepfake detection and speaker verification (confirming the identity of the callers) integrated into every call. Padmanabhuni chose not to disclose customers due to confidentiality agreements.
Padmanabhuni began her foray into machine learning at the age of 12 and pursued studies in cyber-physical systems (technology linking software with physical machinery) at Manipal Institute of Technology in India, where she claims to have become the youngest team leader in what she describes as India’s inaugural driverless race car division in Formula Student, an international student engineering challenge.
DetectifAI has, thus far, secured a modest seed investment from backers Josh Constine (formerly an editor at TechCrunch) and Manohar Kamath, a principal at the consulting services firm KM Growth. The company is among the startups carefully reviewed by TechCrunch’s editorial team to participate in the esteemed Startup Battlefield competition, occurring at TechCrunch Disrupt from October 13 to 15 in downtown San Francisco.
To explore DetectifAI and the other startups featured in this year’s contest, as well as to connect with the individuals funding them, join us next month.
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