The first zGAN concepts were developed back in 2021 at Stanford University. Back then, at the height of COVID-19, new AI models often failed in real-world applications. The problem was not the amount of available data, but their lack of adaptation to global-scale contingencies.
Innovative Data Approaches
In developing the concept of zehn.ai, we recognized that creating truly robust models requires not only historical data but also innovative approaches to generating data with modified distributions.
Revolutionary Innovation
The development of zGAN is not just revolutionary; it has the potential to become Tajikistan's first national AI patent on the global stage.
Obtaining the first AI patent could be a watershed moment for Tajikistan, positioning our country at the forefront of the AI world.
Successful implementation
To date, zGAN has been deployed to develop macro-resilient credit risk models at a number of global partner banks.
Plan
By the end of 2024, zehn.ai plans to finalize the architecture of zGAN applications in different economic sectors:
Agriculture
E-gov
Healthcare
At zehn.ai we plan to develop 3-5 new AI algorithm architectures and models annually (i.e., up to 10% of global volume) starting with zGAN
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