Dubai, UAE – zypl.ai, a pioneering UAE-based credit scoring and AI platform, has raised $5.5 million in a bridge funding round led by Carbide Ventures and supported by prominent investors including Shukhrat Ibragimov, bringing the company’s valuation to $80 million. The funding marks a significant milestone in zypl.ai’s growth journey and underscores strong confidence in its AI-driven platform for financial institutions.
Founded in 2021 by Azizjon Azimi, zypl.ai specializes in synthetic data solutions designed to optimize AI decision-making for financial institutions, particularly under volatile market conditions. The company’s proprietary zGAN model generates outlier synthetic data that enhances predictive AI performance, enabling banks and lenders to make smarter, more resilient credit decisions.
The latest funding will support zypl.ai’s global expansion and the deployment of next-generation AI solutions across key markets. It will also help scale Lucid, zypl’s no-code AI platform, which allows financial institutions to independently build and deploy AI models using zypl.ai’s synthetic data generator.
Dan Weirich, General Partner at Carbide Ventures, commented:
“Carbide Ventures first invested in zypl a year ago and has been thoroughly impressed with the team, product, and growth over the past twelve months. When the opportunity arose to invest further, we jumped on it immediately and are working closely with the zypl team to expand into new markets and unlock additional revenue streams.”
Shukhrat Ibragimov, CEO of Eurasian Resources Group (ERG) and Chairman of Eurasian Bank, added strategic support through his investment, bringing deep industry insight from global natural resources and financial sectors.
zypl.ai currently serves 60+ financial institutions across 20 markets, offering cutting-edge solutions that integrate synthetic data into AI-driven credit and financial decisioning. The company is backed by Prosus Ventures, Carbide Ventures, and other leading investors, with two academic papers on zGAN published on arXiv and presented at NeurIPS, highlighting its innovative approach to AI under macroeconomic volatility.
With this new funding, zypl.ai is set to accelerate its international footprint, enabling banks and financial institutions worldwide to leverage synthetic data for more robust AI models, improved risk management, and smarter lending decisions.


