Failure Detection in Automotive Machine

Machine Learning that empowers hardware designers

Machinery Analytics provides a deep learning platform to distinguish real changes in machine performance from noise, or changes due to load and the environment.

 
 

Our Product

At Machinery Analytics, we believe that skilled professionals should always have the best tools for the job. That’s why we are developing a cloud based, deep learning platform which can easily distinguish changes in actual performance from changes in the environment or operating conditions.

OUR CUSTOMERS ARE INNOVATORS WHO WANT TO DEVELOP QUALITY PRODUCTS FASTER

Parallel Processing
Parallel Processing
Parallel Processing
Cloud Data Storage
Parallel Processing
Parallel Processing
Parallel Processing
Parallel Processing
Parallel Processing
Parallel Processing
Machine Learning Software
FULLY SCALABLE
CLOUD DATA STORAGE
POWER THROUGH
PARALLEL PROCESSING
STATE OF THE ART
MACHINE LEARNING SOFTWARE
BROWSER BASED
RESULTS VISUALIZATION

We use Google's 'Big Data' cloud storage for maximum security and availability.

A SQL compatible database structure allows fast and easy data retrieval.

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We use infrastructure designed to support massive machine learning tasks.

Cloud based parallel processing ensures there's always computing power for your problem.

We use open-source machine learning software to run our algorithms.

Our platform is continuously updated to ensure your problem uses the latest technology.

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Machine learning that empowers hardware designers.

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Automated Performance Change Detection

Discover how that model allows for change detection here

Machine Learning Software

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Automated NN Fit to Data

Find out how we created a data driven models for one of our clients

Features

Empowering Hardware Design Engineers

Cloud Data Storage

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Cloud Based Storage

Fast & easy data retrieval. Maximum security & availability.

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Intuitive Visualization

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Critical AI Notifications allow for you to focus on what is most important.

Image Object Detection

One client's image of a microstructure that contains a pore. We were able to detect this & determine whether it is an abnormality or not 
 

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About Us

We are building a software product to use cloud-based machine learning to better understand telemetry data from complex hardware systems. The ultimate objective is to automatically distinguish changes in performance from changes in load, configuration and the environment.

 

Later versions of the software will be capable of detecting the onset of failure, and classifying the failure mode by comparing data to previously seen and identified failures.

ABOUT US

We are building a software product to use cloud-based machine learning to better understand telemetry data from complex hardware systems. The ultimate objective is to automatically distinguish changes in performance from changes in load, configuration and the environment.
 
Later versions of the software will be capable of detecting the onset of failure, and classifying the failure mode by comparing data to previously seen and identified failures.

Machine Learning
 
Machinery Analytics Picture-min.png

INTERESTED IN OUR PLATFORM?

Let your engineers and scientists focus on what they do best - bringing their visions to life

GET A QUOTE OR BOOK A DEMO

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Frequently Asked Questions

How do I connect my data?

We provide a secure link to storage hosted by google-cloud. You can save .csv files directly to this location. Later implementation will allow direct connection to distributed data acquisition systems eg. vehicles or remote sites.

Why do I need Machine Learning?

Machine learning looks at all of your data to create a mathematical model, or fingerprint of your device. That model is used to distinguish real changes in performance from environmental, load or user inputs.

How secure is my data?

Data is automatically encrypted while in transit and at rest, and can only be accessed by the authorized roles and services with access to the encryption keys. Each customer's data is kept on separate infrastructure with no sharing of databases or access keys between customer environments.

What if I want to develop my own ML/AI tools?

We give you the ability to export a TensorFlow pipeline from your data set, including batched input data files, as well as prototypes to add your own engineered features, train and evaluate.

 

Our Team

Founders

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Peter

With over 20 years leading projects in aerospace, automotive and power generation, Peter ensures our software is built with hardware engineering in mind.
Founder and CEO, Peter Kostka
PETER

With over 20 years leading projects in aerospace, automotive and power generation, Peter ensures our software is built with hardware engineering in mind.

Founder, Mitch
MITCH

With a decade each in traditional engineering and building production software, Mitch ensures our product is robust and reliable.

With a decade each in traditional engineering and building production software, Mitch ensures our product is robust and reliable.
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Mitch

Machine Learning
Machine Learning