STAR System is a technological software for
TRACKING, ANALYSIS and RISK ASSESSMENT

Why STAR System?

AI capabilities were embedded in our software to provide more intelligent and automated solutions. From computer vision, to natural language processing (NLP), to forecasting and optimization, our AI technologies support diverse environments and scale to meet changing business needs.

Tracking
The first ingredient for STAR System’s accuracy is its ability to reveal valuable insights with powerful data tracking technology. Data tracking processes are being streamlined to create highly accurate predictive and descriptive models based on large volumes of data that drive better decision making.
Analysis
Second key ingredient is our advanced analytics technology infused with cutting-edge, innovative algorithms that can help sort the different potential from the data collected . Predictive analysis involves the use of computer models and algorithms to evaluate potential probabilities. This typically consists of searching vast arrays and data sets for patterns and correlations to discern trend following or mean reversion opportunities.
Risk management
Third key ingredient is a unique, hybrid analytic approach that uses multiple techniques – automated business rules, predictive modeling, text mining, database searches, exception reporting, network link analysis, etc. – to detect potential risk with greater accuracy. Advanced analytics with embedded AI and machine learning techniques, combined with traditional detection methods, can identify known and unknown patterns, as well as evolve and adapt over time.
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Tracking
The first ingredient for STAR System’s accuracy is its ability to reveal valuable insights with powerful data tracking technology. Data tracking processes are being streamlined to create highly accurate predictive and descriptive models based on large volumes of data that drive better decision making.
Analysis
Second key ingredient is our advanced analytics technology infused with cutting-edge, innovative algorithms that can help sort the different potential from the data collected . Predictive analysis involves the use of computer models and algorithms to evaluate potential probabilities. This typically consists of searching vast arrays and data sets for patterns and correlations to discern trend following or mean reversion opportunities.
Risk management
Third key ingredient is a unique, hybrid analytic approach that uses multiple techniques – automated business rules, predictive modeling, text mining, database searches, exception reporting, network link analysis, etc. – to detect potential risk with greater accuracy. Advanced analytics with embedded AI and machine learning techniques, combined with traditional detection methods, can identify known and unknown patterns, as well as evolve and adapt over time.

Success of the STAR System is dependent on the following key factors:

“MORE DATA IN STAR SYSTEM = MORE ACCURATE FORECASTS.

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