About Rhize MDH

Rhize is a real-time, event-driven manufacturing data hub that utilizes an ISA-95 standardized data model to integrate and contextualize data from various operational sources. This platform enables manufacturers to achieve real-time visibility and responsiveness in their processes, reducing downtime and improving operational efficiency.

```xml <problem> Manufacturers often struggle with fragmented data across various operational systems, leading to a lack of real-time visibility and delayed responsiveness to critical events. Traditional data management approaches lack the standardization and contextualization needed for efficient data utilization and application development. </problem> <solution> Rhize provides a real-time, event-driven manufacturing data hub that standardizes and contextualizes data from disparate operational sources using an ISA-95 compliant data model. The platform integrates data from edge devices, ERP systems, and quality systems, transforming raw data into actionable events. This allows manufacturers to create an application-ready data model of their entire operation, enabling real-time monitoring, improved decision-making, and faster innovation. Rhize's headless architecture allows users to build custom applications and workflows without vendor lock-in, while its cloud-native design ensures high availability and scalability. </solution> <features> - ISA-95 standardized data model for contextualizing plant data - Real-time, event-driven data integration from various sources (edge, ERP, quality systems) - GraphQL API for user-defined queries and subscriptions over a standardized schema - Support for both short and long-running, user-defined business processes - Cross-stream, real-time complex event processing to trigger business process automation - Role, Attribute, and Graph-based access controls and high-level encryption for data security - Horizontal scaling with Kubernetes clustering for processing millions of events per second - Compatibility with time-tested standards and protocols (ISA-95 & MQTT) </features> <target_audience> The primary target audience includes global manufacturers in industries such as life sciences, serialized discrete manufacturing, steel, and food and beverage, as well as IT and OT architects seeking to bridge the gap between insight and action. </target_audience> ```

What does Rhize MDH do?

Where is Rhize MDH located?

Rhize MDH is based in Minneapolis, United States.

When was Rhize MDH founded?

Rhize MDH was founded in 2020.

How much funding has Rhize MDH raised?

Rhize MDH has raised 695000.

Location

Minneapolis, United States

Founded

2020

Funding

695000

Employees

20 employees

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Rhize MDH

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Executive Summary

rhize.com 700+

Crunchbase

Founded 2020 – Minneapolis, United States

Funding

Estimated Funding

$500K+

Team (20+)

No team information available.

Company Description

Problem

Manufacturers often struggle with fragmented data across various operational systems, leading to a lack of real-time visibility and delayed responsiveness to critical events. Traditional data management approaches lack the standardization and contextualization needed for efficient data utilization and application development.

Solution

Rhize provides a real-time, event-driven manufacturing data hub that standardizes and contextualizes data from disparate operational sources using an ISA-95 compliant data model. The platform integrates data from edge devices, ERP systems, and quality systems, transforming raw data into actionable events. This allows manufacturers to create an application-ready data model of their entire operation, enabling real-time monitoring, improved decision-making, and faster innovation. Rhize's headless architecture allows users to build custom applications and workflows without vendor lock-in, while its cloud-native design ensures high availability and scalability.

Features

ISA-95 standardized data model for contextualizing plant data

Real-time, event-driven data integration from various sources (edge, ERP, quality systems)

GraphQL API for user-defined queries and subscriptions over a standardized schema

Support for both short and long-running, user-defined business processes

Cross-stream, real-time complex event processing to trigger business process automation

Role, Attribute, and Graph-based access controls and high-level encryption for data security

Horizontal scaling with Kubernetes clustering for processing millions of events per second

Compatibility with time-tested standards and protocols (ISA-95 & MQTT)

Target Audience

The primary target audience includes global manufacturers in industries such as life sciences, serialized discrete manufacturing, steel, and food and beverage, as well as IT and OT architects seeking to bridge the gap between insight and action.