Your Greater Gain with Artificial Brain
YaiGlobal is your one-stop-shop for facilitating your AI projects. We have years of industry experience and expertise in managing Big Data using state of the art AI and Cloud computing. YaiGlobal serves multiple business sectors including those of health, finance, aerospace, and the automotive industry. 

Whether your project requires generating and/or annotating training data, adapting ML solutions, or applying cloud computing, YaiGlobal will be your dependable partner to deliver solid results.

Your Partner For Better Results Using AI & Cloud

Our global corporation leads projects in the areas of Artificial Intelligence as well as engineering and software development...
Training Data

Training Data

Machine Learning applications require training data. At YaiGlobal, our team collects and produces your required data.

To train ML applications, collected data is annotated and packaged using our platform Yai365™.
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Machine Learning

Machine Learning

YaiGlobal offers a range of ML services leveraging latest discoveries in the field to accelerate underdeveloped areas of business models.
We train and deploy customized Deep Learning (DL) models to provide solutions for businesses and enable them to stay ahead of the curve.
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IT Competences

IT Competences

Within our IT Competence center, we have the capabilities to provide expertise for your IT project and program support, bringing in both knowledge and resource pools for multiple business areas such as health, consumer goods, aerospace, automotive and related industries.
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Industry Use Cases

We are happy to share with you interesting use cases in various industries. Our AI projects cover sectors like health, pharmaceutical, finance, logistics, engineering, consumer goods and security.
 
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Steps to run a Data Science Project

1

Understand

Understanding the target business area and the rules of engagement to solve operational problems and improve customer experience is a must before addressing the technical side of the project. A key action of this phase is to identify a clear objective of the project and the expected outcome after crunching big volumes of data.
2

Collect, Explore, Enrich

Collecting and merging data from as many data sources as possible is essential to build a diverse database, which is a crucial requirement for robust and generalized AI-based models. Preprocess datasets and enrich it is focal to having a deep understanding of the data and its physical implications.
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3

Visualize, Automate

Visualization is the best way to flaunt and communicate observations and findings using APIs to push insights to a level preferred by the customer. Our ultimate goal is to build robust and generalized Machine Learning models along with the tools and infrastructure that allow the customer to automate the process of prediction and classification.

Yes, we can afford only satisfied Customers and Partners

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Our Focus is the Human Being

For Customers

We are your trusted AI solutions and services provider: you name your need, we'll make it happen for the best.
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For Partners

Your extra mile to better perform with AI is within our team. We are open to collaborate to  for a better value creation.
 
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For Employees

Grow and learn with an amazing team, in a friendly workplace. Delight customers, and grow with AI.
 
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