Canopy by Jungle

0 Reviews
2 Followers
10 Deploys

The AI technology that helps you improve machinery performance

Page last modified
February 22 2024

Canopy’s AI (Artificial intelligence) uses historical data to learn how your machines function under all operating conditions. We are deployed in various industries, helping to detect failures ahead of time, reduce machine downtime and increase performance.

Pros & Limitations
1
Contextual Alarms are Meaningful Alarms
1
Remote deployment
1
Investigations to the sensor level
1
Fully Unsupervised Learning
1
A Powerful AI trained on your data
0
Only works on sensorized machines
Specification
Specification Title Specification Description
Areas of application
Renewable industry (wind & solar), process industry, heavy industry, transportation (shipping), chemicals, manufacturing, packaging
Industry agnostic
Canopy is built on top of very advanced AI models that are agnostic to the application
Deployment
Our models are trained, validated and deployed in 3 weeks, providing value from the start
Implementation
Depending on your need, we can run Canopy on your servers or in a cloud environment
Performance optimization
Canopy has been designed to help you use your data to drive the performance of your machines to the next level
Investigation
Investigate to the sensor level

Reviews

Get access to reviews

to your explorer or platform subscription to get access to the reviews written about this technology.

Technology Readiness Level

The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.

[9/9]

Development Technology demonstration Mature / Proven
Ask the supplier
 to contact this technology supplier.

We have a vision to enable the world to conquer operational complexity and make it manageable for people. We are on a mission to develop the world’s most effective tools to resolve machine underperformance

Relative Business Impact

Solution Deployed By
Company Name

to your explorer or higher plan to get access to all the 10 deployment references.

Last Deployment YearTotal DeploymentsComment