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For Manufacturers

Automated Vehicle Testing

Quality starts in the development and extends to the field. Many problems in the field are complex and hard to find.

Engineering teams require context to identify and fix issues faster, avoiding the production of additional vehicles with the same problem.

At scale you need automation to do this efficiently. We use machine learning to solve this.

Quality starts in the development and extends to the field. Many problems in the field are complex and hard to find.

Engineering teams require context to identify and fix issues faster, avoiding the production of additional vehicles with the same problem.

At scale you need automation to do this efficiently. We use machine learning to solve this.

Traffic Lights

Our end-to-end solution enables R&D and after-sales teams to automate the identification of faults, state of life and remaining useful life of systems and components.

Our end-to-end solution enables R&D and after-sales teams to automate fault detection.

Automated Vehicle Testing

Stratio Approach

Fluxogram explaining Stratio approach
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Our anomaly and fault detection product suite comprises four products for both r&d and after-sales teams:

research
case manager
afterSales
foresight
pilot
explorer

case manager

Speeds up the training of machine learning models and allows automotive experts to contribute to the models’ continuous enhancement.

foresight

Provides after-sales teams with an overview of the detected faults beforehand and enables servicing customers at the right time.

pilot

Enables the monitoring of driver performance and behaviour, adding value to the end customer whilst providing extra context to analysts.

explorer

Data visualization tool designed to support the extraction of additional insights.

Automated Testing

Explore our publications

Whitepaper

8 lessons we learned on building a machine learning platform

When talking with large organizations in the automotive industry a recurring and fair question turns up: what's stopping us from building our own platform?

Whitepaper

Model performance evaluation

To understand how we assess model performance quality we need to introduce the metrics True Positive Rate (TPR) and the False Positive Rate (FPR). To explain them we start by detailing all the possible outcomes of a prediction.

Whitepaper

8 lessons we learned on building a machine learning platform

When talking with large organizations in the automotive industry a recurring and fair question turns up: what's stopping us from building our own platform?

Whitepaper

Model performance evaluation

To understand how we assess model performance quality we need to introduce the metrics True Positive Rate (TPR) and the False Positive Rate (FPR). To explain them we start by detailing all the possible outcomes of a prediction.

Experience Automated Testing

Connect with us

Lisbon

Golden Hub - Avenida da República nr 18, 9th floor, 1050-191, Lisbon Portugal

Coimbra

IPN - Building D, Rua Pedro Nunes, 3030–199, Coimbra Portugal

London

3rd Floor, 19-20 Noel Street, London W1F 8GW United Kingdom

Singapore

11 Cove Way, #12-02 Cape Royale, Singapore 098202 Singapore

2019 © Stratio Automotive

Connect with us

Lisbon

Golden Hub - Avenida da República nr 18, 9th floor, 1050-191, Lisbon Portugal

Coimbra

IPN - Building D, Rua Pedro Nunes, 3030–199, Coimbra Portugal

London

3rd Floor, 19-20 Noel Street, London W1F 8GW United Kingdom

Singapore

11 Cove Way, #12-02 Cape Royale, Singapore 098202 Singapore

2019 © Stratio Automotive

Connect with us.

We're located in

Lisbon
Coimbra
London
Singapore

2019 © Stratio Automotive

Connect with us.

We're located in

Lisbon
Coimbra
London
Singapore

2019 © Stratio Automotive