Physics before prediction
BiaTech grounds guidance in engineering constraints, operating context and customer-approved data.
About BiaTech
BiaTech develops BiaSense, the industrial platform and reasoning layer between live and historical operating data, engineering physics, AI, and accountable field teams. The company is focused on practical guidance for facilities, drilling operations, and asset integrity workflows.
Observe live and historical operational evidence.
Reason with physics, digital twins and machine learning.
Advise people with traceable, plain-English guidance.
Positioning
BiaTech focuses on operating environments where physical systems, safety constraints and expert judgment shape the right answer. The platform connects existing data sources and adds a physics-grounded advisory layer around specific customer decisions.
The work begins with bounded workflows: production and process-performance constraints in facilities, including the equipment-reliability conditions that affect them; drilling envelopes; inspection evidence; and other decisions where better guidance can improve action without replacing trusted systems of record.
Operating model
BiaTech packages industrial evidence, physics and model outputs into guidance that people can review and control.
Connect existing sensors, controls, historians, inspection tools and operational records.
Live + historical industrial dataCombine engineering physics, digital twins and machine learning to understand behavior and emerging risk.
BiaSense Physics AIEvaluate possible actions and give operators traceable, plain-English guidance at the edge.
Human-controlled decision supportPrinciples
BiaTech grounds guidance in engineering constraints, operating context and customer-approved data.
The system is designed to support human decisions, not remove people from critical industrial workflows.
BiaSense can support edge, on-premises or private-cloud deployment based on latency and governance needs.
Current team
BiaTech brings together leaders in energy operations, process technologies, software, and AI to turn live equipment data into trusted, real-time guidance for industrial teams.

Founder and CEO

Director Process Technologies

Director AI Solutions

Lead, Engineering

Lead, Physics AI / SciML

Physical AI Hardware Prototyping Engineer
Company
The first conversation is about the decision, the accountable owner and what evidence already exists.
No proprietary data is required for the first conversation.