An industrial decision-support company takes shape
In August 2023, BiaTech Corporation was formed as a Delaware C-Corporation around a practical industrial conviction: the people responsible for complex equipment and operations need more than additional screens. They need timely engineering guidance they can understand, question, and use while the operating decision can still change the outcome.
Experience behind the founding problem
Founder and CEO Nathaniel Hartwig brought more than two decades of experience spanning field engineering, industrial equipment, global strategy, operations, and new-energy businesses. Across those environments, the recurring problem was clear. Industrial companies already possessed enormous amounts of operating data, but the information was often fragmented among sensors, controls, historians, inspection records, engineering tools, and the experience of skilled workers. Analysis could arrive too late, remain trapped with specialists, or fail to reach the person closest to the equipment.
BiaTech was created to shorten that distance between data, engineering understanding, and action.
Physics AI for Industrial Operations
Today, we describe that mission as Physics AI for Industrial Operations. The BiaSense platform connects with existing sensors, control systems, historians, inspection tools, and operational data. It combines engineering physics, digital twins, machine learning, and edge computing to understand equipment behavior and evaluate emerging risks. Bia presents the resulting guidance in plain English. The goal is not to replace the operator, engineer, inspector, or existing control system. It is to help people make better decisions with the information already around them.
Our work is focused in three application areas: Smart Facilities, Drilling Intelligence, and Asset Integrity. Each begins with a specific operating problem and a measurable outcome. Beneath those applications is a common platform designed to reuse engineering knowledge across similar equipment, processes, and assets.
Software-led and flexible at the edge
The company’s edge-computing capability is an important part of that architecture, but BiaTech is not built around custom hardware for its own sake. BiaSense can use BiaTech-provided edge equipment when local computing is needed, or it can connect with suitable client sensors and computing infrastructure already in place. This device-input and local-host flexibility helps clients start without unnecessarily replacing working systems.
BiaTech has evolved considerably since its founding, but the original purpose has remained constant: bring industrial intelligence closer to the skilled people who make consequential decisions every day.
