Изображение: Zypl.ai
Zypl.ai develops artificial intelligence to assess credit risk for banks and microfinance institutions. The company creates synthetic datasets for AI and gives financial institutions tools to build their own models (zypl.ai). Its ties to Kazakhstan include the Google for Startups accelerator at Astana Hub and an award at Digital Bridge.
Zypl.ai: what the product does for banks
Zypl.ai works on tools that inform lending decisions. One area is credit scoring: assessing the risk that a borrower will fail to repay a loan. The company offers its zScore service for this task.
Another area is stress testing loan portfolios held by banks and microfinance institutions. A portfolio consists of all the loans an institution has issued. A stress test helps assess what would happen to those loans under adverse conditions.
As described in the Radar project profile, Zypl.ai develops algorithms that create synthetic datasets for these tests (raem.kz). The tests cover individual risks and broader economic scenarios. The technical terms are micro and macro stress testing.
How data synthesis and the Lucid platform work
Zypl.ai’s approach relies on synthetic data, which is generated by an algorithm. The company uses it to support decisions in financial services. Its proprietary generative model is called zGAN.
The products serve different purposes. In Zypl.ai’s description, data synthesis is used to test loan portfolios, while zScore assesses lending risk. Both deal with credit risk.
A separate product, Lucid, lets financial institutions build and deploy AI models themselves. The company describes it as a no-code platform. Users do not need to write code to work with it.
Who zScore and Lucid are for
Zypl.ai offers its products to financial institutions. Banks and microfinance institutions are named in the description of its research work. The Lucid platform is also designed for the financial sector.
The company offers zScore as SaaS, or software as a service: an institution uses a ready-made service to assess credit risk. On its website, Zypl.ai lists zScore as a credit scoring tool.
Lucid has a different stated purpose: giving a financial institution the tools to work with AI on its own. Here’s an interesting detail: Zypl.ai offers both a ready-made scoring service and a platform for building custom models.
The investment the company has raised
According to the Zypl.ai profile, the company announced that it had raised $5.5 million at an $80 million valuation. The public announcement came on March 17, 2026. This is a bridge funding round, which helps finance growth between major rounds.
The profile lists venture capital firm Carbide Ventures, entrepreneur Shukhrat Ibragimov and regional investors among the participants. The amount raised and the valuation mean different things. The company receives the investment, while the valuation reflects what the business is worth in the deal.
Who founded Zypl.ai and where the team works
According to the Radar founder profile, entrepreneur Azizjon Azimi founded Zypl.ai in 2021. The project originated in Tajikistan. Azimi serves as CEO.
The global headquarters is registered in the Dubai International Financial Centre in the UAE. The operations office and research and development division are in Dushanbe. The company’s place of registration is therefore separate from where its research team works.
The project’s ties to Kazakhstan
On its company page, Zypl.ai says it completed the Google for Startups programme at Astana Hub. The page also lists an award for best AI startup of the year at Digital Bridge in Astana.
The accelerator programme and the award connect the project to Kazakhstan’s startup community. The company’s headquarters is registered in Dubai, while its operations and research office is in Dushanbe.
Where Zypl.ai plans to grow
In its funding announcement, the company outlined its next step: expansion in key markets. It plans to use the funds to roll out banking solutions based on zGAN.
The corporate blog also reports an expanded partnership with Treasure AI in Japan and collaboration with Sistem Global in Turkey. The Turkish partnership focuses on deploying AI in the financial sector. These efforts build on Zypl.ai’s core focus: tools for financial institutions.
Startup Radar: Zypl.ai
