Turn raw data into informed decisions
Machine-assisted anomaly detection and root cause analysis


The exponential growth in software size and the rise of Industrial Internet of Things (IIoT) have made it more difficult and time consuming to diagnose machine failures. Acerta helps you reduce the effort and resources necessary to locate and understand the problems.

By analyzing the large amount of data collected during system operation, Acerta can gain powerful new insight and intelligence. Our state of the art algorithms identify anomalies in the data, zero in on the root cause of the problem by pinpointing the responsible signals, and predict future failures before they happen. The automated analysis transforms your day-to-day operations and improves decision-making.

Industrial IoT

As more companies embrace the Industrial IoT, the massive volumes of data collected from interconnected products opens the opportunity to automate day-to-day decision-making. Continuous analysis of system behavior will help produce valuable insights, increase productivity, and predict problems before they arise.

Take advantage of the new communication vectors between machines and the enterprise. Analyze the data gathered from field assets and make informed decisions in a fraction of the time.

Airplane Health

Detecting anomalies early can prevent substantial loss of resources.
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Vehicle Health

Anomaly detection can greatly reduce the effort to diagnose failure.
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Advanced Manufacturing

Use prognosis and diagnosis to achieve higher equipment availability.
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Anomaly Detection

The volume of data produced and recorded by modern systems has exploded. This data represents an enormous and often untapped wealth of information. Turn raw data into powerful new insight. Acerta uses your machine data to detect anomalies in system behavior and to identify conditions leading to failure.
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Success Stories

Acerta has been successfully applied in multiple case studies and pilot projects.
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Key Features

Deep Learning

Automatically create a baseline of the normal system behavior - a runtime-based specification of what the system does.

Anomaly Detection

Identify areas that require attention. Detect anomalies in operational real-time behavior and during post-mortem analysis. Identify irregularities and issues much quicker.

Root Cause Analysis

Establish the root cause of the anomaly by identifying trends leading to the problem and the signals responsible.

Regression Testing

Compare regression results against the baseline to evaluate the health of the system as it evolves. Confirm that the system does what it is supposed to do and nothing else.


Acerta helps you predict the time at which a system or a component will no longer perform optimally and correctly.

On the Cloud

Use Acerta on the cloud to explore the trends and to perform visual analysis on the data. Use our service API to gain access to a library of advanced analysis algorithms.