Introducing Misata Studio

Synthetic data is often just hallucinated noise. Standard LLMs guess the next token, but they don't understand the underlying logic of your business data.

We built Misata to change that. By combining Causal Inference with Generative AI, we create datasets that are not just plausible, but mathematically rigorous.

The Problem with Current Generators

Most tools treat every column as independent or loosely correlated. This leads to impossible scenarios:

• A patient aged 10 with a PhD.
• A transaction dated before the account opening.

Misata infers the Directed Acyclic Graph (DAG) of your data, preserving these complex dependencies automatically.