About Skubl

Skubl is the culmination of years of research into Machine Learning and User Behavior simulation.

Before founding Skubl, Cameron Batt focused on ML architectures capable of simulating complex human decision-making. His work explores how synthetic agents can model cognitive load, frustration, and attention in digital interfaces.

Today, he leads the engineering team at Skubl, ensuring our “Agent Swarm” operates with the same psychological nuance as real human testers—but at infinite scale.

That dual perspective drives Skubl’s core thesis: the observability stack should predict, not just report. Built on proprietary causal inference models and real-time behavioural simulation, not LLM wrappers. Skubl sits inside network traffic, analyses millions of sessions in real time, and takes autonomous action before failures happen.