42AI Emerges from Stealth with $62.5M to Build a World Model That Predicts Human Behavior

What if AI could predict what you were going to do before you decided to—even in a completely new situation? That's the sci-fi premise behind Israeli startup 42AI, which has just emerged from stealth with $62.5 million in seed funding to develop a "behavioral world model" it claims can do exactly that.

The company is initially deploying its predictive system at a handful of financial brokerages, where it says the model can forecast how individual traders will respond to volatile market conditions—a capability with obvious appeal as 2026's markets continue to test investor psychology.

Behavior as Probability, Not Destiny

"Behavior is not deterministic; it's constantly probabilistic," CEO and co-founder Amit Gal-Or told TechCrunch. He argues that people have underlying psychological tendencies that shape their decisions even as circumstances change—and that's what the startup is trying to measure and convert into data the model can understand.

"A week from now, you might be a different person, but your tendencies will always play out in certain areas to a probability or distribution," added co-founder and CTO Ehud Ezra. The model, in other words, doesn't predict a single outcome—it surfaces the probability that a person will make a given decision.

Internal Motivations Over Historical Patterns

Rather than extrapolating from past actions, 42AI says its model tries to infer people's internal motivations. To do that, it examines how people react to seemingly unrelated events. For an investor or trader, those events might include completing KYC processes, onboarding, support calls, money transfers, or stock trades.

"When the person is talking to support or sales in the initial process… we're looking at the sentiment, we're looking at the voice, we're looking at a lot of interactions that they're doing, how many times do they call, and so forth," Ezra said. "And all of those data points are going into the model. Later on, you have the interactions: how you buy and sell, and when, and we're looking at the market at that stage."

"So we're trying to look at how they're looking at the world," he added. "In a world model, every individual is the world."

From Observations to Simulations

The company converts those observations into mathematical representations of traits, which are then fed into a transformer-based world model that lays out probabilities for possible decisions under different circumstances. A separate language model generates explanations for its predictions.

Ezra said the model is trained to preserve a person's underlying tendencies during simulations. If someone is usually risk-averse but the model suddenly treats them as a risk-taker, "the target is off," he explained—describing how the model's training rewards are structured.

Three Years of Interdisciplinary Research

42AI spent three years developing this approach, combining psychological research with neuroscience and genetics, along with input from experts in psychology and PTSD and from Dan Shechtman, who was awarded the 2011 Nobel Prize in Chemistry.

Gal-Or said the team first studied thousands of people through psych assessments and behavioral scenarios before adding government and biobank datasets covering more than 2 million people. Customer datasets have since expanded to cover almost 30 million people, he said.

Privacy and Accuracy Claims

In live deployments, the model analyzes customers' existing records, including transactions and support calls. Gal-Or emphasized that the system doesn't require personally identifiable information, arguing that "the model never knows who the person is." Still, it appears the company creates individual behavioral profiles from linked customer activity.

In predicting market trades, 42AI claims its model achieves 98% accuracy, though Gal-Or clarified…

via TechCrunch AI