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

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.

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.

Machine learning that empowers hardware designers.

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.

 

Features

Empowering Hardware Design Engineers

1/1

CLOUD BASED STORAGE

INTUITIVE VISUALIZATION

AUTOMATED NN FIT TO DATA

AUTOMATED PERFORMANCE CHANGE DETECTION

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

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

Mitch

 

CONTACT US

If you are interested in discovering more about our product or joining us for a case study, contact us below!
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© 2020 Machinery Analytics