Fayrix

Many insurance companies face a number of challenges when processing claims, such as high operational costs, the need for 24/7 customer service, or long application processing time. To address these issues, we are pleased to introduce the Fayrix Wingman AI Assistant, a powerful tool that can be customized specifically for the insurance industry.

Client: Mental future, European digital start-up company.

Scope: Development of a media content platform for broadcasting meditation content under subscription model. The solution provides meditation courses via audio, video formats as well as quizes and workbooks.

Technologies: Kotlin, Swift, Vue.

Client: 923digital, USA, digital company that building digital ventures from early-stage idea to real working software and helps in scaling.

Scope: Startup development for own Digital Ventures.

Technologies: NodeJS, ReactJS.

Client: Bnology, Hong Kong, was founded in 2015 with the mission of changing the landscape in finance and has succeeded spectacularly thus far.

Scope: Fayrix team has developed mobile application for instant trading service delivery from Bnology trading platform. With the help of Alvexo app users are able to manage positions, set their trades, and access global markets when they want from where they want.

Technologies: Kotlin, Swift.

Client: Bllink, Israel, provides a financial solution for buildings, allowing building management teams to collect money, track and monitor the financial activity of each building.

Scope: Development of a payment system for utility and rent payments. The solution ensures straightforward cooperation workflows, optimizes costs and brings transparency to related business processes.

Technologies: NodeJS, ReactJS.

Client: Neto Tech, Israel, is an industry-leading Information and Computer Security company, providing futuristic cybersafety proposals to meet the modern-day challenges faced by online businesses.

Scope: Neto Tech company applied with a request to create software for a new international payment system. Fayrix team has developed payment software that supports 100+ payment methods including credit cards, e-wallets and mobile payments.

Technologies: PHP, JS, HTML, CSS.

Client: ThetaRay, Israel, is transforming the way financial institutions and payment service providers (PSPs) benefit from data with an AI-based SaaS transaction monitoring solution.

Scope: Development of Artificial Intelligence solution that conducts multi-level monitoring of the IT infrastructure of a company, provides real-time analysis of all actions and notifies system users of all detected suspicious actions.

Technologies: Python Automation QA.

Client: Musico, USA, company that provides a software platform designed for music teachers to create interactive lessons on the fly or use a growing library of templates.

Scope: Technical support, maintenance and further development of the Musico platform. The platform provides teachers and schools with the unique set of tools to maximize student enjoyment, motivation, and retention.

Technologies: ReactJS.

Client: Milavitsa, Belarus, is the biggest lingerie producer in Eastern Europe, the company's products are successfully sold in more than 25 countries, has over 10 thousand catalog items.

Scope: Developing a model predicting product demand by dealers relying on history of purchase plans and actual purchases by dealers for 2 years. The data array had a large amount of missing values and no history for some dealers. So Fayrix team built a model based on statistics for similar companies. The result: number of slow-moving items by 150-200% compared to initial dealer orders.

Client: Commercial bank, specializing in retail operations and lending to small and medium-sized businesses. The bank network had more than 1,062 branches, additional and operational offices in Russian cities.

Scope: Performing technical support and maintenance for a Bank website. As part of the work a personal account for a mortgage partner of the Bank has been developed.

Client: Epico VIP Travel, Russia, specializing in providing services for individual travelling, business tourism, concierge services and business aviation.

Scope: Identification VIP clients by the neural network. Text data scrapping via automated webpage decomposition - extraction of user, location, and hotel features.

Client: Binomix LLC, Russia, was created on a basis of the National Research Lobachevsky State University. For now Binomix is engaged in the production of a digital X-ray detector and the development of artificial intelligence programs for processing the results of medical imaging studies.

Scope: Development of the Binomix.connect integration platform that enables automated analysis of medical images based on artificial intelligence. The platform implements continuous improvement of diagnostic parameters through machine learning.

Technologies: Go, Mongo DB.

Client: Santander Bank, USA, is a wholly owned subsidiary of Spanish Santander Group. It offers a range of financial services and products including retail banking, mortgages, corporate banking, cash management, etc.

Scope: Building a predictive model for determining customers' consumption of bank products in the next month. The model based on social-demographic data of the customers that used one of the 24 bank products over the past 18 months.

Client: Grupo Bimbo, Mexico, is the worldwide leader in baking with the largest dealer network located in Mexico and the US. The product range consists of over 100 brands represented in 2,5m stores.

Scope: Developing a model predicting product demand at POS's. Fayrix team applied a machine learning algorithm based on statistics for prior periods and expanded statistics on varios combinations (product, group, location etc.) The final model RMSLE metric was 0,4436, which allowed decreasing returns of unsold products by 40%.

Client: Sony, Russia, is one of the leading manufacturers of electronic products for the consumer and professional markets all over the world.

Scope: Development of the accessories official online store. The application automatically detects the model of the smartphone and offers accessories that fits the best. The app allows to track the status of the order or pre-order if there is no needed product in stock.

Client: Municipality of a big European city (NDA).

Scope: UI/UX mobile app development for iOS and Android OS with the city sightseeing attractions and tours with augmented reality. This is an interactive guide to the sights of the city. It contains descriptions of more than 3000 buildings, monuments, museums, territories and information about 200+ historical figures.

Client: Municipalities of Rovolon (Italy), Curitiba (Colombia) и Selangor (Malaysia).

Scope: Development of a cloud smart city platform - Citymatica(link is external). The platform enabling municipalities to manage cities in a smart way. UX/UI design. Web-development. iOS & Android app development.

Client: Telesvyaz(link is external), Russia, is one of the leading engineering companies and system integrators providing the development and implementation of complex telecommunication projects for enterprises and organizations of any size.

Scope: Development of the mobile app for iPad from scratch. The app records the conversation between the manager and the client and automatically sends the data to the company's server for further automatic analysis of the employee's work.

Technologies: Swift, RabbitMQ, Postgre, Java.

Client: Belkins, USA, is a B2B Lead Generation and appointment-scheduling agency with a presence in over 30 countries.

Scope: Development of the internal direct marketing platform. The Platform has reduced the reported average acquisition cost of Belkins' clients by 35-75% and increased retention rate for more than 250 satisfied clients by 90%.

Client: Spectrum(link is external), Singapore, is a workspace offering a community experience driven by knowledge empowerment and an extensive business alliance to support the growth of tech companies and innovators.

Scope: Building AWS- based project infrastructure and authentication API.

Client: Municipality of a big European city (NDA).

Technologies: Angular, React, Java.

Scope: Development of the digital educational platform in largest European megapolis. The Platform is an advanced solution to manage the whole cycle of education process at schools. The platform includes 4 key models:

- education content management system;

- catering and attendance control system;

- teaching staff record;

- eDiary for students.

Client: Citymobil, Russia, is one of the leading taxi booking services that operates in more than 40 cities of Russia and continues to expand its geography.

Scope: Development of the forecasting model for all basic taxi service indicators for further forecasts obtained in optimization algorithms. The model takes into account the following indicators: views, orders, trips, as well as their relationships /conversions.

Client: All right, Russia, is a startup company-aggregator of insurance companies that allows to protect everyday goods.

Scope: At the first stage of cooperation Fayrix team has implemented market research and product concept development. At the second stage Fayrix team has developed MVP application for iOS and Android OS and website on Tilda CMS with payment system integration.

Client: Society for Imaging Informatics in Medicine (SIIM), Spain, is the leading healthcare professional organization, aimed at promoting computer science medical imaging.

Scope: Development machine learning model for identification of the causes of lung collapse and determination of the boundaries of pneumothorax in the pleural region based on chest x-ray. The solution based on the use of convolutional neural networks using Keras and Tensorflow libraries.

Client: Siloam Technologies, Singapore, is a startup company focusing on deploying machine learning and deep learning technologies to transform the educational experience.

Technologies: Java, React.js Kotlin, Swift.

Scope: Development of a multi-platform educational application in which learning takes place through quizzes that adapt their complexity to the student level using artificial intelligence. Fayrix team has developed a portal for creating courses, as well as a web client and a mobile training application.

The platform tracks each learner’s strengths and weaknesses, and feeds questions that the student needs most. Learners can view the detailed analytics on their performance produced by Overwrite platform. The platform engages independent contributors to create questions and quizzes for the platform within the Contributor’s Portal. The Portal allows to create multiple-choice questions, answer options, select the correct one and assign a particular question to pre-defined categories as well as set the question complexity level. 

Client: Revoleto, Hong Kong, financial broker for LATAM countries. Implements educational courses for traders around the world.

Technologies: PHP, HTML5, CSS3, WordPress.

Scope: Development of the website on Wordpress with own Learning Management System, optimization of the bootstrap based pages. Implementation of the stock price display function in the Assets section.

• Website on Wordpress with own Learning Management System. 
• Optimized bootstrap based pages. 
• Live Stock Price in Assets section. 
• Partner Program for webmasters supports more than 50 parameters. 
• Tradetech Playtech Financials API Integration.  

Client: World top-3 railway company providing continuous railway communication between cities and countries for more than 17 years. 

Scope: Fayrix team has implemented a range of mobile services and two mobile applications for iOS and Android OS. The app enables passengers to review long-distance train schedules, select trip parameters and purchase digital tickets directly from their mobile devices.

Technologies: PHP, SWIFT, Kotlin.

Client: EcoOffice GC, Russia, is a property management company, was included in the Forbes rating of "30 largest rentiers" among Moscow development companies.

Scope: Supporting the overall IT infrastructure of EcoOffice GC. As part of the work was developed: tenant's personal account, the system of personal accounts for successful internal services functioning. As a result, the document flow between the tenant, the landlord and the company was accelerated.

Client: ACTech Ltd, Israel, is a startup company that undertakes design, installation, maintenance and service of electronic and pneumatic equipment, automation and control systems for ships and industries, in Greece and abroad.

Technologies: JavaScript, NodeJS, Angular, TypeScript, DHTMLX.

Scope: Dedicated development team formation for developing an innovative project management system (ACTECH) for tracking key points, monitoring execution and automating the work of contractors. ACTECH is a revolutionary and unique way to improve project management efficiency, to shorten project time and the overall cost of the project. The system consists of 9 modules with 4 in the core:

• System base
• Activity management module (Gantt)
• Reports module
• Programs and documents module

Client: SCR Diary, Israel, is a global leading developer, manufacturer and marketer of dairy cow monitoring and herd management solutions with 35+ years of experience. SCR has 7 offices across the globe with HQ in Israel.

Technologies: Java, Spring, Angular, Python.

Scope:

Development of the automated cow monitoring platform SenseHub. The SenseHub system designed for a health checking of animals, cow's reproduction, milking statistics and other more.

It is a standalone system that provides a several solutions for farmers in the world. The system supports two options: Dairy and Beef. The system consists of 4 core products:

- Allflex SenseHub

- SenseHub Sorting Gate

- Network management system

- SenseHub Administration

GOAL:

To create an inventory optimization system for S7 airlines’ subsidiary maintenance, repair, and operating supply (MRO) organization.

SOURCE DATA:

Thousands of operations of spare parts ordering, delivery, stocking, and periodic maintenance.

SOLUTION: 

The developed system collects and processes data, runs models, and visualizes forecast model results using Python, Node.js, and database engines.

RESULT: 

The performance of the system is robust and stable and helps the logistics department manage their inventory far more effectively.

GOAL: 

To develop software to detect cardiac excitation (hereinafter – activation) using neural networks

SOURCE DATA: 

3 566 763 bipolar and unipolar ECG fragments. ECG fragments were collected from different devices at different stages of technology development. Signals came from different patients – healthy and with pathologies

SOLUTION: 

We solved the problem of detecting an activation in the ECG fragment as a classification task, where 0 is no activation, 1 is activation.

RESULT: 

The developed Deep Learning model detects activations with an accuracy of ≥95%.

THE OBJECTIVES:

• To increase sales

• To improve customer loyalty

THE GOAL:

• to develop an algorithm which would automatically evaluate the relevancy of search results to a search query entered by a user

THE SOURCE DATA:

74 000 search queries on 55 000 products

SOLUTION

•A large amount of source data was provided as text

• We used all varieties of TextMining techniques to identify semantic similarity of words and texts and semantic clusterization

• The resulting model was built as an ensemble of decision trees

RESULT

• The suggested model was 15% more accurate than the standard method for estimating the relevancy of search results to a search query which was based on keyword comparison.

THE OBJECTIVE:

•To increase sales through a higher product page conversion rate

THE GOAL:

to develop an algorithm, which would evaluate the probability of customer clicks on certain products

THE SOURCE DATA:

20 mln products views and clicks were provided

• No data on visitors

SOLUTION

• We built a probability model based on the frequency of products displayed together

• The model showed accuracy of ROCAUC=0.76

RESULT

The web-site conversion increased rate by 14%.

THE OBJECTIVE:

•To increase sales through relevant personal offers.

•To improve loyalty through decreasing irrelevant personal offers.

THE GOAL:

To develop prediction algorithms:

• of total customer spending for the next 30 days for each service/product category

• of individual customer spending in the next month for each service/product category

SOURCE DATA:

•7 mln card transactions by 15K customers, 184 categories of services/products

RESULT

•For Goal 1, an ensemble of models was a solution:time series prediction, linearregression, decision trees

•For Goal 2, we built a model based on statistics for prior periods and extended statistics on various combination of attributes

The solution is processing text materials from key media sources, groups and posts in social networks. It allows to analyze presence of a company and its top managers in media space, identify key topics of reference, monitor information waves. This solution helps to significantly increase efficiency of corporate PR departments.

Key features:

• Continuous (24/7) fully automatic monitoring of media space;
• Multilanguage support;
• Support for major social networks and media;
• Dashboards and reports customization;
• Definition of tone and theme of texts;
• Internal algorithms of machine learning;
• Detection of bots;
• Mobile app for top-managers.

Fayrix developed a mobile app for caring parents to check their child's location using their mobile device.

Key features:

• Location control. The app allows parents to always be able to know, where their child is. The number of children under monitoring is unlimited.
• Control zones. The parent can set up control zones and receive instant notifications about the child's arrival to the zone or departure from it.
• Alarm button. In case the child needs help, all he/she has to do is to start the app and press the button. The app will instantly send the parent a text message with the child's location details.

Inflight Guide App The app uses professional aeronautical information to calculate complicated mathematical and meteorological flight model before the flight. In-flight the app uses sensors as triggers confirming different flight stages and provides passengers with real-time explanations of what happens right then and what, when and why can be expected.

Key features:

• Pre-flight turbulence forecast.
• Exact time flight calculation.
• Current location calculation without use of GPS.
• iOS and Android app.

eHealth Platform

Integrated eHealth platform consisting of mobile application for customers, web interface for doctors and clinics, API for partners. 

The platform gathers and analyses customer data to provide expert recommendations and tips. 

Key features:

- Analytical and recommendation engine;

- Multiplatform support (Android, iOS, web);

- Support of text, voice and video chats;

- Doctor workplace (web);

- API for partners.

Field Force Mobile Workplaces

Mobile workplace is a software for mobile devices (smartphones and tablets) which helps to improve efficiency of remote and field staff performance.

Key features:

- Secure access to corporate data and services;

- Documents management and workflow;

- Task tracking;

- Digital signature;

- Geotracking and route planner;

- Integrated MDM and security tools;

- Support of m-POS terminals.