Cameron Batt

Cameron is a machine learning researcher and full-stack developer who founded Skubl after years spanning both performance marketing, managing multi-million pound budgets, and ML research in causal inference and computer vision.

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.