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What is RISHI?

RISHI represents a cutting-edge platform that utilizes artificial intelligence to improve operational intelligence across complex process industries. This tool enables teams in areas like refining, oil and gas, mining, power generation, and manufacturing to transform real-time industrial data into clear and actionable insights, ultimately resulting in reduced downtime and improved efficiency in plant operations. By enabling the early identification of deviations, predictive troubleshooting, automated root cause analysis, and enhancements in performance, RISHI supports faster and more confident decision-making during each operational shift. Specifically designed for asset-intensive environments, RISHI bolsters mission-critical operations by delivering timely notifications, accelerating diagnostics, and enhancing reliability, operational efficiency, and emissions management. Furthermore, it encourages the sharing of knowledge across various locations by capturing expertise and standardizing processes among teams. With scalability as a core feature, RISHI integrates smoothly with a range of systems, such as SCADA, DCS, historians, and enterprise applications, positioning itself as a versatile solution to contemporary industrial challenges. Additionally, its ability to evolve and adapt to the changing requirements of industries ensures that organizations can sustain their competitive advantage amidst a landscape that is constantly shifting. The platform not only streamlines operations but also fosters a culture of continuous improvement within teams.

What is Hyper Historian?

ICONICS’ Hyper Historian™ is a distinguished 64-bit historian celebrated for its exceptional speed, dependability, and strength, making it well-suited for essential applications. This advanced historian utilizes a cutting-edge high compression algorithm that guarantees remarkable efficiency while maximizing resource use. It integrates effortlessly with an ISA-95-compliant asset database and features advanced big data tools like Azure SQL, Microsoft Data Lakes, Kafka, and Hadoop. As a result, Hyper Historian is acknowledged as the leading real-time plant historian specifically designed for Microsoft operating systems, providing unparalleled security and efficiency. In addition, Hyper Historian includes a module that supports both automatic and manual data entry, allowing users to import historical or log data from various databases, other historians, or even devices with intermittent connectivity. This functionality greatly bolsters data capture reliability, ensuring accurate information recording regardless of potential network interruptions. By capitalizing on swift data collection, organizations can establish extensive enterprise-wide storage solutions that promote operational excellence. Furthermore, Hyper Historian not only enhances data management but also supports businesses in making informed decisions based on real-time analytics, ultimately driving further improvements in productivity and efficiency.

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Integrations Supported

Integrations Supported

Apache Kafka
Azure Data Lake
Azure SQL Database
Bedrock Analytics
Fujitsu Biometrics-as-a-Service
HPE Consumption Analytics
Hadoop
IoTWorX
Lenovo ThinkAgile HX Series
Microsoft 365
Siemens APM
Twinn Witness

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

RISHI

Date Founded

2025

Company Website

www.rishidts.ai/

Company Facts

Organization Name

Iconics

Date Founded

1986

Company Location

United States

Company Website

iconics.com/Products/Hyper-Historian#:~:text=ICONICS'%20Hyper%20Historian%E2%84%A2%20is,very%20efficient%20use%20of%20resources.

Categories and Features

Oil and Gas

Not specified

Categories and Features

Data Historians

Not specified

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