Priori's scalable application family is built on our causal intelligence platform — Boethius, named after Roman polymath Anicius Boethius, who notably translated Aristotle's Prior Analytics, from which our company name is formed.

Boethius is built from five platform layers: Data (DATA), Model (MOD), Action (ACT), Operations (OPS), and User Experience (UX). These platform layers are glued together by our MLDevSecOps (MLD) foundational approach to delivering statistical learning models securely at speed and scale. We refocus platform layers to form scalable application verticals.

The Data layer ingests data from the real world, whether it be via a SCADA system, multi-modal hardware, or digitizing hand-written documents.

The Model layer uses critical domain knowledge to adapt foundation models for insight, and causal eXplainable AI (XAI) to explain it.

The Action layer recommends the optimal course of action using an operator-on-the-loop workflow.

The Operations layer deploys intelligence to the contested or denied comms edge.

The User Experience layer exposes model reasoning, configuration, and role-based workflow tools built on a modern web stack.