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.
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.
Early defect detection through our system significantly minimizes waste, avoids costly recalls or returns, and cuts down on additional manufacturing expenses, delivering substantial operational savings.
Our advanced analytics and reporting tools, such as the anomalAIzer, provide deep insights into production patterns and inefficiencies, empowering businesses to make informed improvements and minimize downtime.
Protostar Vision Box ensures your products consistently meet industry standards and regulatory requirements, reducing the risk of non-compliance penalties and building confidence in your brand.
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.
Immediate identification of anomalies in complex data streams.
Compatible with both cloud and edge computing environments for flexible application.
Easily integrates with various backend systems, whether for alarming, actuation, or analytics.
Efficiently processes data from a wide range of sources, including online data streams and various standard formats.
Identify issues before they escalate, minimizing downtime and potential damages.
Foresee and prevent potential issues before they impact operations.
Unlock strategic insights from complex data, driving smarter.
Offers detailed insights into events as they happen, supporting effective decision-making.
AnomalAIzer was successfully deployed on a Intel Cyclone V FPGA (Field Programmable Gate Array) on-board the ESA OPS-SAT Satellite. OPS-SAT was intended for use as a flying laboratory, carrying various instruments and onboard computing resources, namely the FPGA board. The intention was to enable various experiments in orbit for diverse use cases and to achieve first-flight heritage. AnomalAIzer was one of those successful experiments
Deploy machine learning models on FPGAs for ultra-fast, low-power consumption data processing.
Custom AI solutions tailored to meet the unique challenges of our clients. We focus on creating practical, intelligent systems that improve decision-making and operational efficiency.
Let’s create the future together.