Industrial AI & Machine Learning
Industrial AI Solutions
Deploy explainable AI grounded in engineering physics and real operating evidence.
Industrial machine learning, grounded in engineering reality.
Turn inspection, process, condition-monitoring, and maintenance data into traceable decisions—without separating analytics from the physics and operating context of the asset.
AI that supports accountable engineering decisions
Logaritm combines domain expertise, quality-controlled data pipelines, physics-informed features, and explainable models. The result is not another dashboard: it is a decision-support capability engineers can challenge, validate, and use.
A disciplined delivery path
- Frame the decision. Define the engineering question, consequence, and accountable owner.
- Validate the evidence. Assess data quality, coverage, bias, and failure modes.
- Build the minimum useful model. Benchmark transparent methods before increasing complexity.
- Verify with engineers. Test performance against known events and physical expectations.
- Operationalize with governance. Monitor drift, document limitations, and preserve human approval.
Typical applications
- Anomaly detection for condition and process signals
- Corrosion, damage, and failure-risk screening
- Risk-based inspection decision support
- Predictive maintenance and intervention timing
- Computer vision for inspection evidence
- Engineering knowledge retrieval and reporting
