We are a team of computer scientists and AI/machine learning specialists with practical experience in organizing large-scale events, working in the finance industry, and ensuring safety compliance.

Piri grew out of a PhD research project exploring how artificial intelligence and semantic technologies can help make sense of complex regulatory and safety information. Our goal is to take proven research methods beyond academia and apply them in practical, real-world contexts.

We focus on helping organizations collect, structure, and understand the regulatory knowledge they rely on in ways that are accurate, accessible, explainable, and adaptable.

The systems we build are designed to support and connect human expertise, not replace it. Using AI, we link related concepts, highlight important changes, and make information easier to navigate, enabling experts to focus on applying their core knowledge where it matters most.

Because regulations and safety standards are constantly evolving, our solutions are built to evolve with them. We strive for transparency in our approach, so our partners can understand not only what a system does, but also why it does it.