Overview About Itexus

The platform automates key-decision making process with AI-based predictive modules reflecting the credit cycles. It is focused on providing AI-based services across the value chain, from new customer acquisition, dynamic credit scoring, underwriting with multi-dimensional models, up/cross-sell marketing to automated risk management and real-time fraud detection, etc. for banks and financial institutions. Engagement model: Time & Materials Effort and Duration: ongoing since February 2019 Solution: Data Management Platform Technologies: React.js, Redux, Django REST Project Team: 1 Business Analyst, 1 Backend developer, 2 Frontend developers, 1 Team Lead, 1 PM/p>

Digital lending platform with a mobile app client fully automating the loan process from origination, online loan application, KYC, credit scoring, underwriting, payments, reporting, and bad deal management. Featuring a custom AI analytics & scoring engine, virtual credit cards, and integration with major credit reporting agencies and a bank accounts aggregation platform. Engagement model: Time & Materials Effort and Duration: ongoing, since February 2018 Solution: Loan Lending App Technologies: .NET Core, MS SQL Server, Swift, Visual Studio, Realm, Marqeta Project Team: 2 iOS developers, 1 PM, 1 BA, 1 Data Scientist, 3 Back-end developers, 1 QA Engineer

A mobile banking app for migrants designed to facilitate monetary transactions like financial help to families, getting paychecks early, microloans, etc. Engagement model: Time & Materials Effort and Duration: ongoing since April 2020 Solution: Mobile Banking Technologies: .NET, iOS, Swift Project Team: Backend developer, team leader, 2 iOS developers, 1 BA, 1 PM, 1 QA, 1 UI/UX designer Revenue Streams: transaction fees and credit card interchange

Machine learning can automatically create and refresh an algorithm for solving a complex problem based on a large volume of data. It’s not necessary to search for business-important patterns. Instead, a team of qualified professionals should prepare the right data set for training and automate the entire data processing and application process. But at the same time, it is very important to ensure the quality of data and continuous quality control of algorithms. Engagement model: Fixed Price for the MVP stage,Time & Materials for other stages Effort and Duration: ongoing, 3 months to create and launch the MVP Solution: Stock Trading Platform Technologies: .NET Core, C#, MS SQL Server, Microsoft Azure, React.js Project Team: 3 Developers, 1 Business Analyst, 2 QA Engineers, 1 Project Manager

Processing of various content feeds in real-time and boost productivity of a financial analyst or a client relationship manager. The system uses machine learning techniques to process various content feeds in real-time and boost productivity of a financial analyst or a client relationship manager in such domains as wealth management, commercial banking, fund distribution. Engagement model: Time & Materials Solution: Stock Portfolio Management Technologies: Ruby on Rails, Python, React.js, Node.js, Mongo DB

Wealth management platform connecting investors with a professional wealth-advisory company, allowing investors to answer a questionnaire and receive either a recommended model portfolio or a custom-tailored individual portfolio, that is further monitored, rebalanced and adjusted by a professional wealth-adviser based on the changing market conditions and client’s goals. Engagement model: Time & Materials Effort and Duration: ongoing since May 2019 Solution: Wealth Management Platform Technologies: ASP.NET Core, Angular, Stripe, Mandrill, Materialize CSS Project Team: 2 .Net engineers, 1 Front-end developer, 1 BA, 1 PM, 2 QA, 1 Designer

The system is a SaaS platform allowing the client to evaluate solvency and reliability of the potential borrowers using statistical methods of analysis of the historical and nontraditional data sources such as social network profiles and others. It allows the client to upload his normalized and anonymized database of previous loans data, build mathematical models and calculate the credit score of the future potential borrowers entering their data through the system’s web interface. Engagement model: Time & Materials Effort and Duration: ongoing Solution: Credit Scoring App Technologies: Ruby on Rails, SQL Server, Bootstrap, Java, Mongo DB, Spring Project Team: 2 developers, 1 QA Engineer, 1 PhD mathematician-consultant part time

The app helps develop healthy financial habits with gamification features and supports viral marketing with social functionality. Engagement model: Time & Materials Effort and Duration: ongoing, 6 months to create and launch the MVP Solution: eWallet Technologies: Swift, Kotlin, Python, Django, React.js, AWS Project Team: 1 iOS Developer, 1 Android Developer, 2 Backend Developers, 1 Tester, 1 Tech Lead, 1 Business Analyst, 1 Project Manager

A FinTech startup got in touch with us with an idea of creating an app that would allow students who often owe tens of thousands of dollars to pay off their loans faster by aggregating cashback money from merchant deals and transferring it into their personal student loan accounts. Later on, our team and the client made a decision that the system should be further extended by introducing new services such as sending money to other app users and transferring it to their savings accounts. In order to start using the respective services, a user would need to download the app, sign in to with their bank account, review and claim available special deals, and finally use their credit cards directly at the checkout and receive the cashback. All the other operations will be performed by the app. Engagement model: Time & Materials Effort and Duration: 6 months  Solution: Loans Payments App Technologies: Swift, Kotlin, iOS, Android, Python, React.js Project Team: 1 PM, 1 BA, 1 iOS developer, 1 Android developer, 1 BE developer, 1 QA

A full-fledged crypto accounting software platform, which retrieves data from exchanges, wallets, and other cryptocurrency platforms, computes the profits, losses, and income from a user’s investing activity, calculates gains and losses, and generates the necessary tax reports.  Engagement model: Time & Materials Effort and Duration: October 2019 - January 2020 Solution: Crypto accounting software Technologies: Python, Google Functions Project Team: 1 Project Manager, 1 Business Analyst, 2 Backend developers, 1 DevOps, 1 Tech Lead

The healthcare claims management system is a web app that helps medical insurance auditors making a judgment on the claims issued by the medical aid providers. It reduces the costs of claims auditing process and fraudulent risks or human mistakes with the help of machine learning algorithms. Engagement model: Time & Materials Solution: Claims Management System Technologies: Python, Django, React.js Project Team: 1 PM, 1 Tech Lead, 1 Web App Developer, 2 BA, 1 QA, Data Science engineer for ML engine prediction models

A private investor portal equipped with an automated aggregation of financial data and visualization tools, designed to provide a full overview of an investment portfolio, generate mid-year and year-end reports, and support secure integration with file hosting and reporting services. Engagement model: Time & Materials Effort and Duration: ongoing since December 2018 Solution: Private investor portal Technologies: Ruby on Rails, Angular, Backstop Service Project Team: 1 Full-stack Web Developer, 1 Technical Lead, 1 BA, 1 QA manager, 1 PM

A telemedicine platform for women to access a therapist, approach a mentor for support or become a mentor for others, and talk to other women in a safe, stress-free, and supportive environment. Engagement model: Time & Materials Effort and Duration: ongoing since January 2020 Solution: iOS & web telehealth app for users, web app for therapists, web admin panel Technologies: React, Apollo, graphql, typescript, webpack, sass, iOS - swift, iOS libs - Alamofire, Stripe, Amplitude-iOS, TwilioVideo, Firebase/Analytics, Firebase/Crashlytics, Firebase/RemoteConfig, Firebase/DynamicLinks, AppsFlyerFramework, AVFoundation Project Team: 4 developers, 1BA, 1QA, 1PM

The main function was to provide the ability to call for help in the case of a sudden deterioration in health, so that the certified respondents could reach you as quickly as possible and provide the necessary assistance before the ambulance arrives. Besides, when calling for help, there was a parallel call to the local ambulance service. Engagement model: Fixed Price for the MVP stage, T&M for other stages Effort and Duration: ongoing, 4 months to create and launch the MVP Solution: Health Emergency Mobile App Technologies: .NET, Swift 5.0, RXSwift, Moya, Kotlin, ReactiveX, Retrofit Project Team: 6 Developers, 1 Business Analyst, 2 QA Engineers, 1 Project Manager, 1 DevOps

Online marketplace that connects insurance brokers, insurance companies and the end customers. The definite feature of this marketplace is automation of information exchange and key business processes such as customer acquisition, underwriting and claims management. Featuring a recommender engine that is assessing client’s information and suggesting the best fitting insurance plan. Engagement model: Time & Materials Effort and Duration: ongoing, 6 months to create and launch the MVP Solution: SaaS Marketplace Technologies: .NET Core, C#, MS SQL Server, Microsoft Azure, IdentityServer4, Angular 8 Project Team: 1 Team Lead, 5 Developers, 1 Business Analyst, 2 QA Engineers, 1 Project Manager

E-commerce website based on a fully featured Spree powered platform for the leading online interior décor items provider What We Did >> Web Develoment Itexus team built a full powered storefront with robust order management system and optional enterprise packaging, quick order processing, powerful split shipment functionality and responsive design for optimal user experience. Used tools: Ruby, RoR, Spree, Mailchimp api.