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What is Mareana Manufacturing Intelligence?

Mareana is an innovative cloud-based Enterprise AI Platform designed to bridge the gaps between isolated data sets in the manufacturing sector, allowing for real-time contextualization, processing, and predictive analytics that facilitate informed business decisions. This platform, known as Mareana Manufacturing Intelligence, serves a diverse range of enterprises—from small businesses to large corporations—by enhancing yield, freeing up capital, and ensuring adherence to regulatory standards. Among its key advantages, Mareana enables users to consolidate various types of data, including traditional paper batch records and unstructured information, into a single accessible location. Furthermore, it allows for the generation of real-time product insights, offering detailed information on product characteristics, identifying process anomalies, and analyzing the effects of new data. Additionally, Mareana helps organizations unlock capital by expediting the release of on-hold batches, improving overall yield, and minimizing non-conformances throughout the production process. Compliance is also streamlined, as the platform ensures accurate reporting by making full use of available data sources and significantly reducing the likelihood of errors. Notably, three of the top ten pharmaceutical companies in the United States have adopted Mareana's platform to enhance their Continuous Process Verification (CPV) and Chemistry, Manufacturing, and Controls (CMC) processes. This widespread adoption underscores the platform's effectiveness and reliability in transforming manufacturing data into actionable insights.

What is Lumada IIoT?

Design sensors specifically for IoT applications while improving the quality of collected data through the integration of environmental and control system information. This integration must happen in real-time alongside enterprise data, enabling the implementation of predictive algorithms that reveal new insights and maximize the value of your data for meaningful applications. Employ advanced analytics to predict maintenance needs, understand asset utilization, reduce defects, and optimize processes. Leverage the potential of interconnected devices to offer remote monitoring and diagnostic capabilities. Additionally, apply IoT analytics to foresee safety hazards and ensure regulatory compliance, which ultimately contributes to a reduction in workplace accidents. The Lumada Data Integration platform streamlines the rapid development and scaling of data pipelines, amalgamating information from a variety of sources, such as data lakes, warehouses, and devices, while proficiently managing data flows across different environments. By building partnerships with clients and industry stakeholders from diverse sectors, we can accelerate digital transformation, thereby creating new societal value. This collaborative method not only fosters innovation but also promotes sustainable growth in a world that is becoming increasingly interconnected, proving that teamwork is essential for success.

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Media

Integrations Supported

Integrations Supported

Hitachi Visualization Suite

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Mareana

Date Founded

2015

Company Location

United States

Company Website

www.mareana.com

Company Facts

Organization Name

Hitachi

Company Location

Japan

Company Website

www.hitachi.com/products/it/lumada/global/en/about/index.html

Categories and Features

Categories and Features

Data Pipeline

Not specified

DataOps

Not specified

EAM

Not specified

Industrial IoT

Not specified

Integration

Not specified

IoT

Big Data Analytics
Data Collection
Data Management
Device Management
Performance Management

IoT Analytics

Not specified

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