Aterise builds Enterprise integrated software systems aggregating financial data and automating data management along with the corporate finance control

• Business processes automation with integrated security
• AI-based risk management solutions
• Data aggregation, systematization, and reporting
• Setting and tracking financial goals
• Monitoring, analyzing, and predicting expenses
• Personal finance management

We deliver custom highly secure applications and modules adding value to your financial products and improving customer digital interaction

• Account, payments, and transactions management systems
• Mobile banking applications
• Loans issue, payment, and monitoring systems
• Financial risk management and decision-making software with AI advisory support
• Biometrical solutions for authorization and payments
• User data interaction analysis system (know your customer) with automotive UX analytics
• ATMs conversion to online terminals and provided services expansion
• Customer satisfaction enhancements and business processes automation

Aterise designs and embeds professional software instruments helping banks, financial institutions, hedge funds, and insurers make better decisions

• Investment strategy development tools and automation
• Aggregation and processing of real-time market data
• Tools for technical and fundamental market analysis
• Creation and implementation of custom trading models
• AI-based prediction and recommendation tools
• Deal calculators
• Stock trackers

Aterise delivers trading systems equipped with machine learning modules

• Forex and stock exchange trading platforms
• AI-based analytics for deals prediction
• Scaled distributed trading platforms with custom limiting systems

We leverage advanced techniques for customer interaction in Banks, Retail and Wholesale

• Call center efficiency advancements
• Call center monitoring systems
• Call center hint systems and bots
• Training bots for call center personnel

We facilitate digital transformation and help achieve new competitive advantages by ingesting Big Data analysis techniques and Machine Learning modules into traditional workflows and processing patterns 

• Deal risk analysis
• Advanced fraud filters
• Sentiment analysis
• Prediction-based data collection
• High-accuracy rating and decision-making mechanisms with statistical data
• Automated voice, image, documents processing, and relevant data extraction
• Information search, collection, analysis, aggregation, and reporting
• Ensuring data consistency and security
• Providing advanced mechanisms of data access control