Entrepreneur Azizjon Azimi from Tajikistan has raised $17 million in venture capital for his startup. The project is developing an AI system for bank scoring. This is reported by Digital Business.
What happened
The product uses machine learning algorithms to more accurately assess the creditworthiness of borrowers and automate loan issuance. According to the publication, the solution has already expanded beyond the region and is applied in the markets of 20 countries.
At the same time, the exact name of the company, the list of round investors, and the names of client banks are not disclosed in the publication.
Country and market
For the fintech market of Tajikistan and the whole of Central Asia, raising $17 million for a single B2B project is a rare case. Typically, local startups focus on the domestic market: developing payment systems, e-wallets, or microcredit. Here, the technology is built from the outset as an infrastructure solution for export.
Why it matters
Venture capital pays attention to products that meet universal banking needs regardless of jurisdiction. AI-based scoring allows credit institutions to reduce the share of non-performing loans and accelerate decision-making.
Central Asia is gradually transitioning from adapting foreign neobanking models to creating its own infrastructure products for the global market.
What’s next
The further development of the project depends on its ability to compete with large international banking software vendors. Without the disclosure of architecture details and the client base, it is currently difficult to assess the actual market share the startup has captured.