Protostar Labs

AnomalAIzer

by Protostar Labs

Discover hidden insights in your complex data streams. AnomalAIzer goes beyond simple anomaly detection, uncovering root causes and causal relationships. Enhance your understanding, improve response strategies, and make data-driven decisions with confidence.

01 How it Works?

AnomalAIzer

The anomalAIzer toolbox relies on an anomaly detection framework fueled by several recent algorithmic advancements. It works by linking to your relevant data sources such as any piece of equipment providing high data output over many industries, like automotive, fintech, manufacturing or space.

The algorithms work in the integral, sliding-window manner, extracting anomalies from the datastreams and reconstructing the consequential order of changes in the datastream (causal inference). Our efficient causal inference algorithms enable unprecedented performance in event reconstruction tasks.

The end output of the algorithms are pinpointed time points at which the anomalies occurred, followed by the analytical report on changed system properties with identified potential root causes of the anomalies.

02 Features

AnomalAIzer offers a comprehensive suite of features that redefine anomaly detection and root-cause analysis. Key features include real-time detection, ensuring immediate identification of anomalies within complex data streams. Its deployment versatility allows seamless operation in both cloud and edge computing environments, catering to various application needs.

Real-time detection

Immediate identification of anomalies in complex data streams.

Deployment versatility

Compatible with both cloud and edge computing environments for flexible application.

Seamless integration

Easily integrates with various backend systems, whether for alarming, actuation, or analytics.

Data-source agnostic

Efficiently processes data from a wide range of sources, including online data streams and various standard formats.

03 Benefits

AnomalAIzer provides significant benefits to clients, including predictive maintenance, which helps foresee and prevent potential issues before they impact operations. Its user-friendly design ensures that users of all technical skill levels can navigate and utilize the tool effectively. Designed with cost-efficiency in mind, AnomalAIzer maintains low operational costs without compromising performance.

The real-time event reconstruction capability offers detailed insights into ongoing events, supporting informed and effective decision-making.

Early problem detection

Identify issues before they escalate, minimizing downtime and potential damages.

Predictive maintenance

Foresee and prevent potential issues before they impact operations.

Data-driven decision making

Unlock strategic insights from complex data, driving smarter.

Real-time event reconstruction

Offers detailed insights into events as they happen, supporting effective decision-making.

04 Use Cases

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