Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Equipment Management
No
Inventory Management
No
Job Costing
No
Logistics Management
No
Maintenance Management
No
Material Management
No
Project Management
No
Resource Management
No
Scheduling
No
Work Order Management
No
Product Features
Oil and Gas
Compliance Management
No
Equipment Management
No
Inventory Management
No
Job Costing
No
Logistics Management
No
Maintenance Management
No
Material Management
No
Project Management
No
Resource Management
No
Scheduling
No
Work Order Management
No