the diagnostics lab

The Diagnostics Lab is home of TEMA, our main product. Here, we develop diagnostic methodologies, study industrial systems, analyze engineering evidence, and transform complex operational data into root causes, priorities, and better technical-economic decisions.

Techno-Economic Management Algorithm

A digital technical department for industrial systems.

TEMA is the Techno-Economic Management Algorithm developed by AURORA LABS. It works by connecting analytics, inspection, maintenance engineering, production, assets and lifecycle information in one structured environment, TEMA helps engineers coordinate action and helps leadership make better-informed technical decisions.

A General Diagnostician for Industrial Systems

TEMA works like a general diagnostician for industrial systems. Just as a doctor studies medical history, symptoms, test results, and overall condition before recommending a treatment plan, TEMA studies industrial evidence to understand what is happening inside a system, why it is happening, and what should be done next.

It does not only display data.
It interprets evidence, compares possible causes, ranks priorities, and supports better technical and economic decisions.

From Data to Decision

TEMA follows AURORA’s structured diagnostic path:

Research → Diagnosis → Application

Industrial data becomes useful only when it is interpreted. TEMA transforms scattered system information into a clear decision path by identifying the problem, linking it to possible causes, estimating its impact, and recommending the most relevant action.

1. Evidence
Collects and organizes industrial data, KPIs, maintenance signals, operational symptoms, and technical indicators.
2. Diagnosis
Interprets system behavior and identifies what is wrong, where the problem appears, and which areas are affected.
3. Decision Path
Recommends corrective actions, ranks priorities, and supports technical-economic decision-making.

A.R.I.A is TEMA’s symbolic AI.

It ingests structured operational, maintenance, asset-condition and economic evidence and transforms it into traceable diagnostic conclusions through a controlled reasoning stack. Rather than producing a single opaque prediction, A.R.I.A. builds and compares technical hypotheses, evaluates the evidence supporting or weakening each one, considers temporal behaviour and historical interventions, identifies unresolved uncertainty, and determines the most defensible next technical action.