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Misata Research

Insights on synthetic data, privacy, and causal AI.

2026-03-08Research

The Realism Engine: How v0.5.2 Achieves 100% Mathematical Consistency

Why random values aren’t enough, and how 11 cross-column rules make Misata fundamentally different from Faker.

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2026-03-07Research

Why Proportional Row Counts Matter for Realistic Seed Data

15 categories, 100 users, 250 orders, 500 order items — how FK-graph analysis creates realistic dataset proportions.

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2024-10-24Research

Introducing Misata Studio: The Enterprise Logic Engine

Why we moved beyond simple LLM generation to a causal-based synthetic data engine.

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2024-10-25Research

Why Differential Privacy is Non-Negotiable

Protecting user data while maintaining statistical utility in high-stakes environments.

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2024-11-02Research

Case Study: Accelerating Clinical Trials with Synthetic Patients

How a top biotech firm used Misata to simulate 1M patient outcomes in minutes.

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2024-11-15Research

Scaling Financial Data: 1 Billion Rows without Hallucinations

Vectorized NumPy generation vs. Transformer inference: A performance benchmark.

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