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What is Triotos IoT Suite?

Triotos was created to enable small and medium-sized enterprises to tap into the vast opportunities presented by the Internet of Things (IoT). Leveraging our deep operational knowledge, Triotos offers cutting-edge strategies that allow your business to reap the advantages of IoT technology. We invite you to reach out and discover how we can help improve system efficiencies, elevate customer satisfaction, and lower operational costs. Our customized "Ready to Deploy" solutions can be implemented in a matter of months, offering a much faster and cost-effective alternative to conventional IoT providers. Since our offerings are anchored in the AWS cloud and utilize proven connectivity frameworks, they can be effortlessly transferred to your team or managed by our experts if preferred. Beginning with your unique business needs, we work together to create the perfect solution, adapting our 'Deployable' IoT models to kickstart a pilot project. This typically takes about 6-10 weeks, resulting in a functional system that can be further adjusted to align with your changing requirements. With Triotos, embarking on your IoT journey becomes not just achievable but also streamlined and customized to suit your specific goals, ensuring you remain ahead in a rapidly evolving digital landscape. In doing so, we pave the way for your enterprise to thrive in this interconnected world.

What is Senseye PdM?

Senseye PdM utilizes cutting-edge proprietary machine learning approaches to predict asset failures before they happen. By continuously assessing the operational performance of machinery, Senseye is able to provide precise forecasts on when maintenance should be conducted. This capability enables maintenance teams to focus their resources on the most critical assets needing immediate attention. With a straightforward implementation process, organizations can lower their maintenance costs while improving the accuracy of their downtime forecasts. Built with scalability in mind, Senseye PdM can support any number of connected devices, regardless of size. The automated condition monitoring delivers insights that spotlight only the most crucial data. Users are informed about the expected operational lifespan of their machinery prior to the need for maintenance. Moreover, the platform facilitates the analysis of thousands of assets, offering clear and continuous updates on which machines require intervention. In addition to minimizing machine downtime, Senseye empowers industrial companies to enhance their operational efficiency and overall productivity. Thus, through its innovative approach, Senseye PdM not only optimizes maintenance strategies but also supports long-term asset management goals.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Triotos

Date Founded

2020

Company Location

United States

Company Website

www.triotos.com

Company Facts

Organization Name

Senseye

Date Founded

2014

Company Location

United Kingdom

Company Website

senseye.io

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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