Artificial Intelligence

We implement existing and create our own scientific algorithms and methods of intellectual software development.

Our science-based solutions intent on the most efficient solving of the following tasks:
• Information collection
• Research and analysis
• Interpreting
• Processes modeling
• Planning
• Dependencies identification
• Forecasting
• Identifying of potential risks and their management
• Semantic processing of text
• Clustering
• Decision support

Our experts conducted the research in such areas of technologies and methods of artificial intelligence:

• Data mining (data mining)
• Expert systems (expert systems)
• Artificial neural networks (neural networks)
• Logistic regression (logistic regression)
• classification and regression trees (classification and regression trees)
• Fuzzy logic (fuzzy logic)
• Regression analysis (regression analysis)
• Genetic algorithms (genetic algorithms)
• SVM method (support vector machines)

The mentioned above best practices and methods have been implemented in the programs and software systems:

1.	Semantic Analyser
	Web application Semantic Analyzer is designed for automatic semantic analysis of text in order to identify meaningful units of text. The application allows structuring of the text data with the possibility of future usage.
2.	Universal Scoring Platform
	Universal Scoring Platform provides all the necessary parameters for the integration and data analysis, artificial intelligence systems, reporting and decision making. Using a simple system, interface the user can easily build, launch and proceed the models for performing the following tasks as data clustering, its classification and a preliminary estimation.
3.	Modeling platform, management and optimization of company business processes
	The business process management software package helps organizations to solve important and complex business problems. Using the business process management software the company can model, implement the business processes, control their execution, and make the estimation of the processes effectiveness and the follow up optimization.
4.	Forecasting Module
	Forecasting of the good quality is the key to solving the most actual business challenges, as optimization of stocks in storages and financial flows, budgeting, evaluation of investment attractiveness and more. In practice, it is very difficult to obtain a qualitative forecast doing only one simple operation. To solve this task several steps are often required as cleaning, transformation, models building and so on. BMS Soft forecasting module includes the full set of tools for solving this problem, starting from connecting to different data sources and ending with the construction of adaptive models. The principles implemented in this module provides support for the forecast activity at all stages of process.

In today's highly competitive environment the winner is considered the one who is more focused on issues of information, information collection, research and analysis, as well as on forecasting, potential risks identifying and their management. BMS Soft company is one of the leaders in this area, using the leading scientific methods and advanced information technology to solve all these business challenges.