Big data
Big data means the accumulation and analysis of information for the purpose of obtaining information that is inaccessible using conventional methods, for example, statistical analysis.
Our company uses a lot of technologies associated with big data. We accumulate statistics consisting of individual user activities and extract from the raw data whatever can’t be obtained using conventional grouping and averaging methods.
Machine learning
Machine learning in our company is inextricably linked to Big Data.
Teacher algorithms use this data to train worker algorithms. The teachers analyze a huge amount of accumulated data, which is a log that contains fragmentary facts.
Traffic distribution and delivery
Traffic distribution and delivery systems are increasingly used in Internet traffic management. The key idea is to make the system monitor the search for the optimal landing page for each unique resource visitor.
Target advertising
Targeted advertising is an extremely promising area aimed at selecting promotion methods and advertising materials that are suitable for each user. The key idea is to make the system monitor the search for the optimal landing page for each unique resource visitor.
Show moreData analytics
Data analytics is one of the most important areas of the big Data application.
Show moreBehavioral analytics
Behavioral analytics is a user behavior analysis technique that uses modern tools to assess visitors’ actions, such as cohort analysis, heatmap analysis, conversion and bounce analysis, and others.
Show moreData mining
Data mining is the process of finding trends, dependencies and parameter correlation in the user behavior data.
Show moreComputer perception
Computer perception is the ability of machines to perceive the data just as people do it.
Show moreComputer vision
Computer vision is the technology that allows using the machine as an image analyzer to automate tasks that were previously carried out by people only.
Show moreMultilingual translation & search
We have developed a Sphinx-based search engine that allows to search in 27 languages
We are young and fast growing company with expertise in creating added value for business by using Big Data technologies.
We offer our clients customized solutions in the Data Analytics, Machine Learning and Computer perception.
Big data
Big data means the accumulation and analysis of information for the purpose of obtaining information that is inaccessible using conventional methods, for example, statistical analysis.
Our company uses a lot of technologies associated with big data. We accumulate statistics consisting of individual user activities and extract from the raw data whatever can’t be obtained using conventional grouping and averaging methods.
For example, we can estimate the profit that every single user has generated and then merge the users with similar behavior, profitability, etc. in groups. This means that we can create classification principles that allow us to predict how profitable a specific user (or a group) will be to us, based on various user behavior markers.
Based on this data, we can carry on advertising campaigns or buy the most profitable traffic via the RTB protocol.
Machine learning
Machine learning in our company is inextricably linked to Big Data. Teacher algorithms use this data to train worker algorithms.
The teachers analyze a huge amount of accumulated data, which is a log that contains fragmentary facts. They use this data to create rules of conduct for the workers that are already making specific decisions. The consequences of these decisions are also analyzed by the teachers to correct and optimize the actions of the workers, allowing them to be flexible and adapt to the changing external environment.
Computer perception
Computer perception is the ability of machines to perceive the data just as people do it. Our company uses computer vision to analyze static images and videos along with the text perception technology, which are the basis of multilingual search.
Data analytics
Data analytics is one of the most important areas of the big Data application.
Big data analytics is the process of examining and analyzing big data in order to find hidden patterns of customer behavior, identify correlations between unrelated indicators and determine market trends and user preferences for the subsequent adjustment of the project development strategy.
It involves complex applications with elements such as predictive models, statistical algorithms and what-if analysis powered by high-performance analytics systems.
Data mining
Data mining is the process of finding trends, dependencies and parameter correlation in the user behavior data. Its key objective is to handle and structure big data for the subsequent semi-automatic or automatic analysis. Such analysis most often results in the creation of predictive user behavior models.
Behavioral analytics
Behavioral analytics is a user behavior analysis technique that uses modern tools to assess visitors’ actions, such as cohort analysis, heatmap analysis, conversion and bounce analysis, and others.
The objective of behavioral analytics is to generate user behavior patterns and highlight trends and bottlenecks in the project structure for the creation or adjustment of the resource development strategy.
Computer vision
Computer vision is the technology that allows using the machine as an image analyzer to automate tasks that were previously carried out by people only.
We use various libraries for image analysis to classify and select significant traits, assess image quality and search for ways to improve the picture quality.
Multilingual translation & search
We have developed a Sphinx-based search engine that allows to search in 27 languages.
We use a variety of machine translation technologies to ensure high quality and relevancy of search results, regardless of the query language.
Traffic distribution and delivery
Traffic distribution and delivery systems are increasingly used in Internet traffic management.
The key idea is to make the system monitor the search for the optimal landing page for each unique resource visitor. To do this, we use the accumulated big data on the user behavior and the machine learning technology to identify the key principles guiding users’ decision making. Using such systems, we can find the ideal monetization direction for each user.
At the same time, the more data passes through the system the more accurate the forecast is and more efficient the distribution is.
Targeted advertising
Targeted advertising is an extremely promising area aimed at selecting promotion methods and advertising materials that are suitable for each user.
These are selected based on the accumulated data on the actions and reactions of similar user groups in the past. We use machine learning technologies to improve the accuracy of prediction.
Using solutions based on Targeted Advertising can significantly improve the effectiveness of promoting goods and services by promoting them only to those visitors who will most likely be interested in this product.