Our expertise
We provide custom software solutions and related services to financial and fintech organizations, including banks, credit unions, and all types of enterprises that look to establish effective, digitally-enabled financial processes.
Fintech software development
We create financial software from scratch as well as enhance deployed solutions or their components.
Fintech software integration
We make financial solutions part of bigger software ecosystems or integrate them with third-party systems.
Fintech software security and compliance
We ensure the stable operation and protection of financial systems along with the data they process.
Our financial software solutions
Itransition’s team delivers tailored solutions to automate organizations’ financial workflows and provide end customers with smart and secure financial applications for individual use.
Corporate finance
We develop fintech software solutions integrated with corporate infrastructures and enterprise systems to consolidate financial data, automate its management, and provide accurate information for decision-making.
Personal finance
We build solutions that enable end users to manage and organize their personal finances, track spending behavior, monitor daily expenses, review and forecast savings, as well as set up reasonable and transparent financial goals.
- Management of accounts payable and receivable
- Invoice processing
- Payroll management
- Planning and forecasting
- Expense and revenue management
- Tax payment processing
- Financial risk management
- Monitoring and optimization of personal expenses
- Personal budget analysis
- Budget estimation and planning
- Smart advisors and recommendations
- Real-time reports and built-in analytics
- Financial notifications and alerts
Fintech software development
Throughout the years of our collaboration with businesses across different industries, we have built up a portfolio of financial software solutions that embraces a broadest range of financial processes and needs.
Investment management
We provide fintech software development services to deliver investment management solutions. They help financial institutions and hedge funds aggregate and process real-time market data, manage investment portfolios, analyze investment risks, and make decisions on the optimal investment time and amount.
Market data management
Itransition builds solutions that aggregate and visualize real-time and historical market, stock and brokerage data from leading data providers and exchanges, to get a unified data view and analyze it from a single source.
Investment portfolio management
Alerts and notification
Get alerts when a stock hits certain targets: entry and exit alerts, alerts for trending ups, downs or sideways.
Investment calculator
Сalculate stock volatility, investment amounts and risks relying on up-to-date stock prices, portfolio size, and risk tolerance.
Portfolio optimization
Forecast stock behavior, rebalance risks, and optimize portfolios with deep learning algorithms implemented by Itransition.
Stock tracking
Track and analyze stock behavior, both within and out of the investment portfolio.
Artificial intelligence for trading
Combining data mining, deep learning, and machine learning, we create AI-powered trading platforms to analyze massive amounts of financial data, predict stock fluctuations, assess stock-related risks and volatility, and provide recommendations on trading and investment strategies.
Forecasts and recommendations on stocks, bonds, and commodities based on machine learning to evaluate available investment options and refine the portfolio
Pattern recognition and deep learning to analyze financial market data, evaluate the portfolio, predict volatility, and rebalance risks for each portfolio item
Behavioral segmentation and clustering to analyze individual data, objectives, and expectations, and identify a personalized investment strategy
AI-powered cognitive assistants to recommend well-grounded trading decisions on stock purchase and sales, forecast volatility, join or pull out of the trading process at the best moment
AI-based models for algorithmic trading based on analysis of global data and trends, market prices, and corporate accounting results
Continuous aggregation, analysis and assessment of traders’ activities to reveal and block suspicious trades and events
Financial analytics
As part of financial software development, Itransition configures and deploys scalable and secure data warehouses, OLAP analysis, and artificial intelligence algorithms to aggregate, sort out and analyze a vast amount of historical and real-time financial data from disparate sources.
Financial reporting
Automated aggregation of financial data in a single tool with interactive dashboards, data visualization, and end-to-end workflows.
- Income statements
- Cash flow statements
- Balance sheets
- Statements of changes in equity
Predictive analytics
Using the strengths of data mining and machine learning, as well as applying classification, regression, and clustering, we create algorithms that can predict global financial market trends and potential business outcomes equally well.
- Profitability analysis and modeling to define most effective products, services, and sales channels, as well as estimate business growth potential
- Planning and budgeting with what-if analysis to test assumptions and predict the impact of changes
- Investment recommendations and portfolio optimization based on deep learning
- Identification of fraudulent activities and transactions based on pattern recognition and anomaly detection
Fraud management
We develop fraud detection solutions that can continuously record and inspect transaction details, analyze behavioral patterns, distinguish real threats among millions of events to block malicious actors in real time.
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- Detect violations and potential threats within scattered events with AI-based models
- Take immediate actions against suspicious behaviors
- Discover and eliminate fraudulent activities by reviewing historical data
Forecasts and recommendations on stocks, bonds, and commodities based on machine learning to evaluate available investment options and refine the portfolio
Pattern recognition and deep learning to analyze financial market data, evaluate the portfolio, predict volatility, and rebalance risks for each portfolio item
Behavioral segmentation and clustering to analyze individual data, objectives, and expectations, and identify a personalized investment strategy
AI-powered cognitive assistants to recommend well-grounded trading decisions on stock purchase and sales, forecast volatility, join or pull out of the trading process at the best moment
AI-based models for algorithmic trading based on analysis of global data and trends, market prices, and corporate accounting results
Continuous aggregation, analysis and assessment of traders’ activities to reveal and block suspicious trades and events
Omnichannel payment options
We implement LE beacons, NFC, and HCE technologies, integrate back-offices with digital signage, self-service kiosks, POS and mobile apps to support multiple payment types, such as credit, debit, prepaid and contactless cards, web and mobile payments, loyalty cards, and ecommerce payments.
Mobile banking &
self-service portals
Account management with balance and transaction history
Money transfer and payments
Customized personal dashboards
Payment scheduling
Account and security alerts, payment reminders
Mobile RDC
Personalized location-based offerings
Loyalty programs
Integration with third-party payment gateways
We utilize ready-made APIs and create custom connectors to integrate financial software with third-party payment gateways and provide end users with protected and easy-to-use payment channels.
Compliance
When engaging in financial software development, we build solutions in compliance with the accepted financial industry standards and regulations.
Pre-certification testing
- In-depth analysis of system compliance
- Validation of enabled compliance mechanisms
- Penetration testing and vulnerability scanning
- Delivery of a long-term compliance roadmap
- Pre-compliance reporting and recommendations
Security
We implement the latest cybersecurity technologies and tools, including artificial intelligence, to address current and potential vulnerabilities related to security and privacy of personal data and sensitive financial information.
Identity & access management
We implement IAM solutions to automate the user account lifecycle, monitor access to sensitive data, and provide role-based access to resources.
- Identity management
- Role-based access management
- Protection of sensitive data
- User activity monitoring
Security information & event management
We configure SIEM solutions that ensure full visibility into networks, applications, and user activities to identify and prevent malicious intrusions and financial data leaks.
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- Logged data aggregation within a network
- Real-time analysis of aggregated security events
- Long-term data storage for forensic analysis
Penetration testing
We implement IAM solutions to automate the user account lifecycle, monitor access to sensitive data, and provide role-based access to resources.
- Web application security testing
- Client-side security testing
- Network security testing
- Remote access security testing
- Physical security testing
- Social engineering security testing