We are honored to be recognized by Ruya, the UAE’s pioneering digital Islamic community bank, in collaboration with Ignyte DIFC, as the winner of the first-ever Cred-AI-bility Challenge - an initiative transforming how businesses and individuals are assessed for credit using AI.
Launched earlier this year, the challenge invited startups to develop AI-driven solutions leveraging alternative data sources - such as mobile transactions, e-commerce activity, and utility records - to create fairer, more inclusive credit models.
After a highly competitive evaluation, zypl was selected for our synthetic data engine, which generates “smart” edge-case examples to train AI models. This approach enhances accuracy and stability across credit assessments while maintaining full privacy compliance.
“At Ruya, we believe financial inclusion is a cornerstone of community empowerment. The AI-enabled Alternative Credit Scoring Challenge was a step towards reshaping how creditworthiness is assessed, and we are delighted to name zypl as the winner. Their solution aligns perfectly with our vision of using innovation and ethics to build a fairer financial system,” said Christoph Koster, CEO of Ruya Community Islamic Bank.
Hosted in partnership with Ignyte DIFC, the challenge also provided a platform for startups to engage with the region’s financial ecosystem and demonstrate scalable, responsible AI solutions. It underscores Ruya’s mission to foster fintech collaborations that drive inclusion and bring innovation to the market.
As part of the prize, zypl will collaborate with Ruya on a proof of concept, with the potential to scale the solution further and shape the future of inclusive banking.
“We don’t just rely on the raw data banks already hold - we create additional training data using our zGAN-generated synthetic data,” said Azizjon Azimi, Founder & CEO of zypl.
“By simulating realistic ‘what-if’ scenarios - especially rare, high-risk cases often missing from real datasets - we strengthen AI models to detect risks more effectively and improve decision-making in financial services.”
We’re excited to continue pushing the boundaries of AI in finance, and grateful to Ruya and Ignyte DIFC for supporting innovation and ethical fintech solutions in the region.We are honored to be recognized by Ruya, the UAE’s pioneering digital Islamic community bank, in collaboration with Ignyte DIFC, as the winner of the first-ever Cred-AI-bility Challenge - an initiative transforming how businesses and individuals are assessed for credit using AI.
Launched earlier this year, the challenge invited startups to develop AI-driven solutions leveraging alternative data sources - such as mobile transactions, e-commerce activity, and utility records - to create fairer, more inclusive credit models.
After a highly competitive evaluation, zypl was selected for our synthetic data engine, which generates “smart” edge-case examples to train AI models. This approach enhances accuracy and stability across credit assessments while maintaining full privacy compliance.
“At Ruya, we believe financial inclusion is a cornerstone of community empowerment. The AI-enabled Alternative Credit Scoring Challenge was a step towards reshaping how creditworthiness is assessed, and we are delighted to name zypl as the winner. Their solution aligns perfectly with our vision of using innovation and ethics to build a fairer financial system,” said Christoph Koster, CEO of Ruya Community Islamic Bank.
Hosted in partnership with Ignyte DIFC, the challenge also provided a platform for startups to engage with the region’s financial ecosystem and demonstrate scalable, responsible AI solutions. It underscores Ruya’s mission to foster fintech collaborations that drive inclusion and bring innovation to the market.
As part of the prize, zypl will collaborate with Ruya on a proof of concept, with the potential to scale the solution further and shape the future of inclusive banking.
“We don’t just rely on the raw data banks already hold - we create additional training data using our zGAN-generated synthetic data,” said Azizjon Azimi, Founder & CEO of zypl.
“By simulating realistic ‘what-if’ scenarios - especially rare, high-risk cases often missing from real datasets - we strengthen AI models to detect risks more effectively and improve decision-making in financial services.”
We’re excited to continue pushing the boundaries of AI in finance, and grateful to Ruya and Ignyte DIFC for supporting innovation and ethical fintech solutions in the region.