TRaiCE

TRaiCE

AI-based early warning business risk detection and monitoring system for lenders and investors.

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Source: Dealroom estimates

More about TRaiCE
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TRaiCE, a startup founded in 2019, offers an advanced risk monitoring solution tailored for financial institutions. The company addresses a critical need in the financial sector: the lack of comprehensive tools to monitor business risks effectively. TRaiCE's AI-augmented platform provides powerful predictive risk analysis, helping financial clients identify and measure portfolio risks automatically. This system tracks, analyzes, and condenses vast amounts of data into numerical indices that rank businesses by risk daily, ensuring proactive and gap-free surveillance.

TRaiCE primarily serves financial institutions, including banks, investment firms, and asset managers, operating in the global financial market. The company’s business model revolves around providing a subscription-based software-as-a-service (SaaS) platform. Clients pay a recurring fee to access TRaiCE's risk monitoring tools, which include instant dashboards and cross-tab filters for efficient data analysis.

The startup has made significant strides since its inception. It was listed in the Microsoft Azure Marketplace and featured in the BuildFor2030 campaign. TRaiCE also won awards at the Nasscom NIPP GCC Fintech Challenge and the Qatar Fintech Hub Hackathon, highlighting its innovative approach and industry recognition.

TRaiCE generates revenue through its subscription fees, which are based on the level of service and features accessed by the clients. The company continues to expand its capabilities, partnering with ProData Science to enhance its machine learning and data visualization expertise. This collaboration enables TRaiCE to provide even more accurate and early identification of potential portfolio risks and trends.

In summary, TRaiCE offers a cutting-edge, AI-driven risk monitoring solution for financial institutions, helping them stay ahead of potential risks with proactive and comprehensive tools.

Keywords: AI-augmented, risk monitoring, financial institutions, predictive analysis, portfolio risks, SaaS, data visualization, proactive surveillance, Microsoft Azure, fintech.

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