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features
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Description

Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.

Description

BrightAI is a Physical AI platform for monitoring, analyzing, and managing large-scale physical infrastructure. Its Stateful Platform serves as an operating system for infrastructure by combining continuous observability, AI-driven decision-making, and operational action. BrightAI collects real-world information from sensors, inspection systems, wearable devices, and other connected equipment to create a more current view of asset conditions. Its observability toolkit includes Stateful Stickers, autonomous inspection technology, Stateful Wearables, and foundation models designed for physical environments. The platform can process visual, thermal, acoustic, vibration, and other sensor signals to identify anomalies and degradation before they develop into larger operational problems. Applications include detecting pipe deterioration, inspecting power infrastructure, monitoring gas compression equipment, identifying insects in regulated manufacturing environments, and detecting machine friction on production lines. BrightAI also supports autonomous and semi-autonomous inspection workflows that can reduce the need for repetitive manual field inspections and direct workers toward higher-priority issues. The company positions the platform around improving asset uptime, operational throughput, worker productivity, frontline safety, and sustainability through earlier detection of physical-world problems. BrightAI is intended for utilities, industrial operators, infrastructure companies, manufacturers, and field-service organizations managing large numbers of distributed physical assets.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

SAP Store Yes 

Integrations

SAP Store No 

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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
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

Aspen Technology

Founded

1981

Country

United States

Website

www.aspentech.com/en/products/apm/aspen-mtell

Vendor Details

Company Name

BrightAI

Founded

2019

Country

United States

Website

www.bright.ai/

Product Features

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 

Product Features

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