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.
Funding
$695K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
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.
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.
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)