Customized Development Solutions
Based on artificial intelligence and machine learning for big data analysis.
Individual solutions for fintech companies
Based on artificial intelligence and machine learning for big data analysis.
- Automatic analysis of data from exchanges and banks in real time.
- Built-in AI for trend detection and market trend prediction.
- Automation of financial decision-making and trading in financial markets.
- Convenient interface, powerful analytical tools, automation of data analysis processes.
Real-time data collection and integration
Data from different sources such as stock exchanges and banks are integrated for comprehensive analysis.
Big data analysis
High performance due to support for parallel data processing to increase the analysis speed, which is important for processing historical and current financial markets data.
Data visualization
Allows financial analysts to easily interpret complex data and identify trends. Interactive dashboards are updated in real time and help to keep track of key financial metrics.
Custom big-data solutions with AI
Real-time data collection
Integration with data sources: platforms, social networks, web analytics, ERP, mobile application.
Combine data
Creating common client profiles with all data from different sources.
Behavior analysis and AI-segmentation
Built-in tools for deep analysis of customer and target audience behavior and preferences.
AI personalization
Creating personal offers to customers, setting sales and reputation communications through different channels.
Business process optimization
Full automation and improvement of the efficiency of all company processes.
Risk management
Identification and minimization of risks related to financial transactions and investments.
Forecasting and planning
Accurate forecasting to support strategic planning and decision-making.
Automation Reporting and Analytics
Automatic generation of detailed financial reports for internal and external use.
Develop optimal algorithms and models to solve business problems
- Automation of machine learning processes.
- Creating accurate predictive models with minimal effort.
- Generation of analytical reports based on big data.
- Multiple data sources for comprehensive analysis support
Process optimization
The system will select optimal algorithms and models. Neural networks analyze complex data and make predictions
Report automation
Based on the data analysis, model different scenarios to analyze possible outcomes.
Solutions for HR and customized education platforms
Personal programs
Train employees and customers with different levels of training
Knowledge Testing System
Evaluate the knowledge of employees and prospective candidates for open positions
Available on any device
Train users from different regions and with different devices
Mobile application development
We develop mobile applications to solve any problem. We provide services for developing applications for Android, iOS and cross-platform applications.
Our work process
This roadmap provides a tailored approach to design and successful completion of the project.
Information collection and analysis phase
Collection of claims, analysis of technical, resource and financial aspects.
Creating a risk register
Result
Project roadmap. Specification of functional requirements
Design phase
Development of software architecture. Develop and execute test scripts.
Result
Modular and integration testing plan and script. Consolidated report
Development phase
Design and structure of the database. Server installation and configuration. Development of CRM-system code testing.
Result
Test reports and performance Load and stress test results
Implementation phase
Deploy the system in a quality control environment. Conducting UAT with business users
Result
Confirmation of UAT from client Deployed CRM system in PROD environment
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