Tarini Padmanabhuni started looking at machine learning when she was in class 6. Later on, a deepfake scam directed at her grandfather pushed her to create a platform meant to stop similar events.
The 21-year-old entrepreneur realized that artificial intelligence voices and synthetic media create major problems for families, banks, customer support systems, and digital trust. This insight led her to start DetectifAI in 2025.
Operating out of San Francisco and Bengaluru, the startup builds tools designed to check human speakers and flag manipulated audio. Cybercriminals use synthetic voices and images for phishing, financial fraud, and disinformation. The company works to stop these threats by spotting fake speech patterns and videos.
Padmanabhuni graduated in computer science with a specialization in cyber-physical systems from MIT Manipal. Her background centers on artificial intelligence, cybersecurity, and deepfake detection. She says she currently has five patents pending in deepfake detection and has spent the past two years building practical AI tools to spot manipulated media.
Real-Time Detection And Backing
The fraud detection models created by DetectifAI run directly on devices and at the network edge. This setup lets the system flag fake callers during live phone conversations rather than waiting for a cloud round trip. This real-time feature serves as the primary unique selling point of the company, setting it apart from traditional models that analyze events after they happen.
The platform centers its attention on the banking, financial services, insurance, and healthcare sectors. In these fields, voice verification is essential for customer authentication, patient validation, fraud prevention, and identity security.
The startup maintains a team of 10 people. For its financial backing, DetectifAI secured a seed round from investors including Josh Constine, a former TechCrunch editor-at-large, and Manohar Kamath, a Silicon Valley investor.
Padmanabhuni noted that her early fundraising helped build her network. Her participation in The Residency, a San Francisco founder program backed by Sam Altman, also helped her form meaningful connections. The company chose not to reveal the total funding amount raised.
Future Plans And Market Growth
Padmanabhuni built technology capable of spotting deepfakes on phones and computers to make the detection process faster and more practical. Her goal is to bring the technology to financial institutions, KYC companies, telecom firms, and mobile providers.
She wants anyone with a mobile phone to have protection against artificial intelligence deception. Her long-term goal is for DetectifAI to become a recognized layer for audio trust, similar to how Dolby became a standard for audio quality.
The global deepfake market valuation sits at $7.44 billion in 2026 and is projected to reach $32.58 billion by 2033, according to Coherent Market Insights.
