Ascentialytics | Real-Time Machine Health Analytics

Zdalne monitorowanie parku maszynowego w czasie rzeczywistym

Ascentialytics zapewnia zdalne monitorowanie i diagnostykę w czasie rzeczywistym w całym parku maszynowym. Pozwala przewidywać awarie, zanim się pojawią, i ograniczyć nieplanowane przestoje dzięki analityce stanu technicznego maszyn od zespołu, który buduje systemy testowe.

Our brands serve technology-driven industries, where managing data effectively has become essential. As decision-makers work to optimize performance, detect anomalies and drive data-informed product improvements, we are developing solutions to support these critical needs.

Impossible? Done.

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Our Solution

Ascentialytics is a robust data analytics platform designed to seamlessly integrate into a wide range of instruments and equipment, enabling real-time insights and data-driven decision-making. Our platform simplifies the collection, storage and analysis of data, offering anomaly detection and customizable reporting. With an easy-to-use, visual interface, users can leverage powerful data insights without the need for expertise in complex data science.

Ascentialytics Brochure

Custom solutions for your unique applications

Ascential Technologies' experts will customize the platform for your unique application, integrating this powerful software with your product to reduce development time and improve performance. By leveraging our comprehensive knowledge and expertise, we ensure you are collecting the right data and using it in the most impactful ways.
Gain access to:

Real-Time
Insights

Ascentialytics collects data from your systems in real-time, allowing you to quickly monitor performance, identify issues and make informed decisions instantly.

Customizable
Dashboards

Tailor user-friendly dashboards to your stakeholders’ needs, offering role-specific insights for both technical and non-technical users.

Product-Agnostic Integration

Modular architecture integrates smoothly with existing systems and adapts to various runtime environments.

Scalable
Platform

The flexible Ascentialytics platform scales as your project and data needs evolve.
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AscentialyticsFunkcje

Data
Collection

Seamlessly interface with instruments and devices via standard APIs (e.g. OpenTelemetry) and methods (e.g. application log parsing) to gather performance data and other metrics.

Data
Storage

Secure storage of vast amounts of data with high throughput, ensuring no critical information is lost during testing or operation.

Data
Analityka

Utilize advanced algorithms, including machine learning and anomaly detection, to gain actionable insights from the collected data.

Visualization

Real-time dashboards and custom reporting tools to monitor system performance, identify trends and optimize device behavior.

Data Security
and Integrity

The platform ensures compliance with industry regulations such as HIPAA and GDPR, using encryption and access controls to protect sensitive data.

Modular
Architecture

Modular architecture integrates smoothly with existing systems across various makers' equipment and adapts to various runtime environments.

Real-Time
Analityka

Analyze and interpret incoming data streams to quickly adapt to changing parameters or identify issues.

Extensibility

Support for third-party software integrations, enabling domain-specific applications.
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Często zadawane pytania

Ascentialytics collects performance data and other metrics from your instruments and equipment in real time, then stores and analyzes it. It tracks equipment health and performance, detects anomalies as they occur, and feeds customizable dashboards and reports for both technical and non-technical users. It interfaces with devices through standard APIs such as OpenTelemetry and through methods like application log parsing.

Yes. The architecture is modular and product-agnostic, so it integrates with existing systems across various makers' equipment and adapts to different runtime environments. Our experts configure the platform around your application, so you collect the right data from the start rather than retrofitting it later.

Real-time data lets you see a problem while it is developing instead of after it has stopped production. The platform applies advanced algorithms, including machine learning and anomaly detection, to incoming data streams, so shifting parameters and early failure signals surface immediately. Teams can act on them before a machine goes down, which cuts unplanned downtime and protects product quality.
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Asystent czatu

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