Incognia is a location identity and fraud prevention company that uses device intelligence, location behavioral analytics, and AI to help platform businesses — from food delivery to financial services — detect fraud without compromising the user experience. By processing signals from GPS, Wi-Fi, and Bluetooth without capturing PII, Incognia identifies legitimate users from fraudsters across multiple devices with 99.999999% accuracy, a 0.0001% false-positive rate, and no friction for genuine users. Deployed on over 200 million smartphones and protecting nearly 1 billion devices, Incognia has become the go-to fraud layer for platforms like Grubhub, Delivery Hero, and Upwork.
Raptor Maps builds the operating system for utility-scale solar. Its cloud platform combines drone thermography, digital twins, AI anomaly detection, and asset-performance analytics so solar owners, operators, and OEMs can find faults, plan maintenance, and squeeze more energy out of every panel across hundreds of sites.
Dan Hendrycks is the Executive Director of the Center for AI Safety (CAIS), the UC Berkeley PhD who created MMLU - the benchmark that shaped how the world measures AI intelligence - and invented GELU, the activation function running inside BERT, GPT, and virtually every major AI model. From a rural evangelical town in Missouri, he's become one of AI safety's most consequential voices, advising Elon Musk's xAI and Scale AI while sounding alarms about civilizational-scale AI risk, accepting $1/year to keep his independence intact.