AI Weekly Malaysia

TechCrunch profiles DetectifAI, a San Francisco-based company founded by Tarini Padmanabhuni after her grandfather paid a ransom to a deepfake voice imitating his brother roughly two years ago. DetectifAI's pitch is that it designs compact models from the start to run inside a phone's operating system, giving an on-device verdict on whether a voice in calls, voice messages, or other audio is AI-generated, rather than shrinking cloud models as competitors do. It is licensing its tools first to phone manufacturers, and cites FBI figures that Americans lost close to $900 million to AI-driven scams last year, up 24% from 2024, with people 60 and older losing twice as much as those aged 50 to 59.

Why: The concrete detail here is the distribution choice: DetectifAI is selling to phone makers as an OS-level licence, not shipping an app you can install, so there is nothing for a builder to try today. If you are thinking about scam/deepfake defence for Malaysian users, the useful question is which layer you can actually reach (banking app, telco, OEM) and whether on-device inference fits your latency and privacy constraints, since audio never leaving the handset is the specific claim being made. Treat the $900M/+24% FBI figure as the size of the scam problem, and note the item gives no benchmarks, pricing, or availability.