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Description
RISHI is an innovative platform that harnesses artificial intelligence to enhance operational intelligence within intricate process industries. It empowers teams in sectors such as refining, oil and gas, mining, power generation, and manufacturing to convert real-time industrial data into transparent and actionable insights, ultimately leading to minimized downtime and enhanced plant efficiency.
By facilitating early detection of deviations, predictive troubleshooting, automated root cause analysis, and performance enhancement, RISHI fosters quicker and more assured decision-making throughout each operational shift.
Tailored for environments that heavily rely on assets, RISHI underpins mission-critical functions by providing timely alerts, speeding up diagnostics, and boosting reliability, operational efficiency, and emissions management.
Additionally, it promotes knowledge sharing across multiple sites by capturing expertise and standardizing processes among teams. Designed with scalability in mind, RISHI seamlessly integrates with various systems, including SCADA, DCS, historians, and enterprise applications, making it a versatile solution for modern industrial challenges. Moreover, its capacity to adapt and grow with the evolving needs of industries ensures that organizations can maintain a competitive edge in a rapidly changing landscape.
Description
Utilize advanced pattern recognition and analysis tools to uncover distinct patterns within historical process data efficiently. Monitor performance and assess trends through real-time updates on production and process metrics, ensuring that information is always current. Enhance response times to issues by implementing alarms and notifications that alert users to any deviations from established process standards. Streamline the configuration of daily operations to facilitate enterprise-wide access to asset performance, accompanied by clear and concise alerts. Investigate and determine the primary causes of downtime on a batch basis, which contributes to reducing cycle times and maximizing utilization rates. By improving visibility into real equipment performance, organizations can decrease equipment failures and lower costs associated with rework. Additionally, measure Overall Equipment Effectiveness (OEE) metrics to pinpoint production deficiencies, allowing for targeted resource allocation towards potential performance enhancements. Ultimately, these strategies foster a more efficient and responsive production environment.
API Access
Has API
API Access
Has API
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Integrations
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Integrations
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Pricing Details
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Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
RISHI
Founded
2025
Website
www.rishidts.ai/
Vendor Details
Company Name
Aspen Technology
Country
United States
Website
www.aspentech.com/en/products/msc/aspenone-process-explorer
Product Features
Oil and Gas
Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management
Product Features
Oil and Gas
Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management
Alternatives
No Alternatives
