Predict customer behavior
before you spend a dollar.

The Behavioral Foundation Model for customer prediction

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SimStudio

The Problem

AI can generate content.
But can it predict what customers will buy?

Current state-of-the-art LLM agents on behavior prediction:

44/100

Source: OmniBehavior benchmark (arXiv 2604.08362, ISCAS & Kuaishou, Sept 2025)

Solutions

Three Primitives:
The Behavioral Foundation Model

PRIMITIVE I

Behavioral Memory Graph

A persistent, structured memory of customer behavior for fast retrieval during inference.

PRIMITIVE II

Conditioning on Revealed Behavior

Express preferences through steering vectors in the residual stream.

PRIMITIVE III

Per-customer Calibration

Model trained and retained in customer's own tenant.

Why Now

Built on real-world
behavioral trajectories.

Not role-playing. Real behavior data.

SimStudio is a Behavioral Foundation Model that reads full clickstream history, conditions on revealed behavior, and generates calibrated next-action predictions.

The Product

SimStudio: Simulate before you spend

Demo

Try the interactive demo now

Use Cases

Media, e-commerce, and B2B scenarios

Resources

Research Papers &
Documentation

Research Papers

Explore 15 years of research publications from PathSim (VLDB 2011) to Memory Mechanisms of Foundation Agents (ICLR 2026).

Documentation

API reference, integration guides, and technical documentation.

Prediction is free.
Now, accuracy is everything.

From media spend economics to computational economics.

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