AI-Powered Data Management and Analytics Platform for a Large Financial Holding

● An AI-based Assistant and Knowledge Keeper with comprehensive knowledge of IT systems, capable of providing essential information during the development and maintenance of software products. It can answer questions about the products, monitor task and project execution, anticipate potential issues, and ensure efficient team and resource management. Solution: ● iOs and Android Development Results: ● Removes 80% of routine tasks on control and management from the manager. ● Identifies and shows problems that are usually hidden under many numbers and reports, and also offers options for solving them. ● Increase productivity by 24%. ● Reduce development costs by 19%.

Cryptocurrency e-Wallet Application Ecosystem for a Global FinTech Enterprise

● PCI DSS compliant application ecosystem for a large fintech company, featuring web and mobile crypto wallets, embedded kiosk software, and a cloud-based API server. It enables users to trade cryptocurrencies and 50+ digital assets, make crypto payments, and link bank accounts for fiat-to-crypto conversions. ● To execute this large-scale project, the client required a software developer with deep expertise in cryptocurrencies, mobile app development, and payment systems. The client identified Itexus as a suitable company not only for its extensive expertise in these specific areas but also for its thorough understanding of the client’s overall business and the software tools they employ, as revealed during the tender process, which played a crucial role in the client’s decision on the developer. ● The solution includes web, mobile, and kiosk-embedded application clients with similar functionality, alongside a web interface for administrators and a cloud-based backend API server. Results and future plans: ● Within four months, Itexus’ cross-functional team of experts delivered MVP versions of two mobile applications and one web application. ● Currently, production is underway for the second stage, which is intended to launch in October of this year.

Financial Data Analytical Platform for a Large Investment Management Company

● AI-based data analytical platform for wealth advisers and fund distributors that analyzes clients’ stock portfolios, transactions, quantitative market data, and uses NLP to process text data such as market news, research, CRM notes to generate personalized investment insights and recommendations. ● The system emulates the work of a perfect investment adviser: - “Reads” and “remembers” all available information regarding every client, including their stock portfolios, past transactions, interests, problems, risk profile, previous questions – all available data stored in the CRM; - Monitors all market movements, news, and research from multiple data feeds in real time; - Generates highly personalized alerts and recommendations for each client. ● The project was implemented using an Agile/Scrum-based process. It began with a Product Discovery phase, during which the team: - Analyzed the existing business process, - Documented high-level software requirements, - Analyzed third party system with which the system should integrate, including SalesForce CRM, marked data feeds, Morningstar and Refinitiv research feeds, etc., - Designed the high-level architecture of the new system. Results: ● The first version of the system was developed and deployed in production within 8 months, followed by the user training sessions. ● The deployment of the system allowed to reduce the time the advisers spent on preparing for client meetings by approximately 60%. ● The advisers were able to focus their time on the most promising clients and suggest the most relevant deals, resulting in increased sales volumes and customer satisfaction. Overall customer satisfaction, as measured by surveys, increased by approximately 40%. Additionally, sales volumes have doubled. Furthermore, the advisers can now serve a larger number of clients. ● Itexus continues to maintain the system, improve the algorithms, and make adjustments at the client’s request.