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What is Sensai?

Sensai presents an innovative AI-powered platform designed for anomaly detection, root cause analysis, and issue forecasting, enabling prompt resolutions to problems. This advanced Sensai AI solution significantly improves system uptime while speeding up the process of identifying root causes. By providing IT leaders with effective tools to manage service level agreements (SLAs), it enhances both operational performance and profitability. Furthermore, the platform automates and streamlines the tasks of detecting anomalies, predicting issues, analyzing root causes, and resolving problems. Sensai's integrated analytics and comprehensive perspective allow it to effortlessly connect with various third-party tools, expanding its usability. Users gain immediate access to pre-trained algorithms and models, facilitating a quick and effective implementation process. This all-encompassing strategy empowers organizations to sustain high operational efficiency while proactively mitigating potential disruptions. Ultimately, Sensai transforms how businesses approach IT management and problem resolution.

What is OPUS?

OPUS stands out as a premier no-code AI platform designed specifically for the industrial sector, enabling users to effectively model both equipment and processes. By utilizing OPUS, organizations can access a wide array of benefits including insights for process optimization, predictive maintenance, reduced energy consumption, enhanced productivity, precise forecasting, greater asset reliability, diminished maintenance expenditures, improved planning capabilities, and valuable ESG reporting with carbon reduction insights. Teams can leverage this platform without needing any programming skills, allowing them to extract insights from their data and anticipate future scenarios effortlessly. Dive deeper into your asset's data like never before, revealing unforeseen correlations that may not have been immediately apparent. Conducting root cause analysis on specific components can help direct your efforts where they matter most, ensuring efficient use of resources. The automated AI predictive insights provided by OPUS enable strategic planning for interventions and empower you to make well-informed business decisions confidently. With the capability for rapid deployment and receiving AI model results in mere minutes after creation, organizations can harness the full potential of their existing operational data, leading to tangible returns on investment with the expertise of their current team of asset engineers, operators, and maintenance managers. Transform your entire facility, plant, or work site by tapping into the remarkable potential of automated AI and witness the significant improvements in operational efficiency and effectiveness. Seize the opportunity to elevate your industrial processes to new heights with OPUS.

Media

Media

Integrations Supported

Integrations Supported

AVEVA PI System
AWS App Mesh
Aspen HYSYS
Azure Industrial IoT
ControlST
FactoryTalk Historian
Microsoft Entra ID
PowerLogic ION EEM
Siemens APM

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Competitive pricing structure based on number of sensors. Included unlimited users and AI model development.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sensai

Date Founded

2017

Company Location

Israel

Company Website

www.sensai.io

Company Facts

Organization Name

VROC

Date Founded

2016

Company Location

Australia

Company Website

vroc.ai/products/opus/

Categories and Features

Anomaly Detection

Not specified

Cloud Management

Not specified

Root Cause Analysis

Not specified

Categories and Features

Artificial Intelligence

Machine Learning
Predictive Analytics
Rules-Based Automation

No-Code Development

AI-Assisted Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Templates
Visual Modeling

Root Cause Analysis

Not specified

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