42AI Exits Stealth With $62.5M to Build AI That Predicts Individual Human Behavior
42AI says its behavioral model is already used by 10 large brokerages, generating over seven figures in annual revenue. One brokerage reportedly gained about $30 million in additional value through dynamic hedging, while the system predicts traders’ responses to volatility.
Israeli startup 42AI emerged from stealth in November 2026 with $62.5 million in seed funding and a system it describes as a “behavioral world model” — an AI designed to predict how individual people will make decisions, even in situations they have never encountered before.
The company is initially deploying its technology at financial brokerages, where it says the model can anticipate how individual traders will respond to volatile market conditions. 42AI says it is currently working with 10 large brokerages, helping them manage liquidity, margin requirements, and hedging exposure, and is generating more than “seven figures” in annual revenue. One brokerage reportedly generated approximately $30 million in additional value through dynamic hedging using the platform.
Rather than extrapolating from a person’s past actions, 42AI says its model attempts to identify underlying psychological tendencies by analyzing seemingly unrelated behaviors — such as how a customer completes onboarding, interacts with support staff, or transfers money. Those observations are converted into mathematical representations of traits and fed into a transformer-based world model that outputs probabilities for possible decisions under varying circumstances. A separate language model generates explanations for the predictions.
CEO and co-founder Amit Gal-Or said the system does not require personally identifiable information, though the company does build individual behavioral profiles from linked customer activity. For trading predictions, 42AI claims 98% accuracy — defined as whether trading flows fall within a predicted range — and an F1 score of 0.8 to 0.85 for predicting trading direction and volume.
The company spent three years developing the approach, drawing on psychological research, neuroscience, genetics, and input from experts including 2011 Nobel Prize in Chemistry laureate Dan Shechtman. Its models have been trained on data covering nearly 30 million people.
The $62.5 million in seed funding came from the founders and Infinity Group, an investment firm founded by Amit Gal-Or’s father, Amir Gal-Or, who also serves as 42AI’s chairman and co-founder. The company says it plans to raise additional funding.
Beyond finance, 42AI is exploring applications in gaming, fraud prevention, and cybersecurity. The founders acknowledged an ethical concern: if brokerages can predict customer behavior, that knowledge could potentially be used against the very people being profiled. The company pointed to regulations, monitoring, and an internal ethics committee, but did not detail specific safeguards preventing customers from exploiting the technology.