AI Forensics is a category.
We're creating it.
Mastero.AI was founded on a simple observation: enterprise AI teams have no forensic tooling. When an LLM fails in production, there's no black box recorder, no failure taxonomy, no systematic way to turn breakdowns into training data.
We build the tools that sit between model deployment and model trust. Our platform — Udgam, Prahar, and Sanket — finds hidden training signal, stress-tests before ship, and maps every failure pattern into named, fixable classes.
The company operates under QDataPros C-Corp, a Texas entity based in Frisco, TX. We are pre-revenue, pre-funding, and building in public.
What we believe
Enterprise fear of silent model failure is the real buying signal — not aspirational AI benefits.
Every LLM failure has a signature: a specific class, frequency, severity, and cost.
The best training data already exists inside your company. It's just invisible to your ML pipeline.
Annotation is not a cost center. It's the product.