AI & ML
Development

Development of computer systems that perform tasks that would typically demand human intervention.

Machine
Learning

A subfield of artificial intelligence that enables the computer systems to learn from data, improve from experience and perform tasks that would typically demand human intervention. We expertise in such areas of machine learning implementations as personalized recommendations, risk assessment, digital advertisements, security systems and fintech.

Data
science

Applies scientific methods and machine learning to extract knowledge from Big Data, make diagnosis, analysis and predictions. Implements in business processes optimisation, efficiency management and decision making artificial intelligence systems.

Computer
vision

Computer vision is a subfield of artificial intelligence systems related to extracting data from digital images and videos for further processing, analyzing and understanding this data. Can be implemented in face recognition, object recognition, scene reconstruction, image reconstruction areas and many more.

Natural language
processing

The tasks related to written text or voice speech recognition and understanding by the computer are addressed to natural language processing engineering. We have experience and a big interest in this field of artificial intelligence.

Neural
networks

A group of algorithms for machine learning and computer vision; Neural networks are deep learning models designed to analyse data with the logic structure similar to human approach.

Chatbots

Systems that interacts with human through messenger interface. It can perform typical tasks such as customer support, registration, surveys and taking orders and results in significant cost optimisation for businesses and enterprises.

Development process

Gathering
Data

Data is everywhere, and each character can be meaningful. Therefore, we diligently collect all information from your sources.

Preparing
that Data

Careful processing and preparation of the obtained data is the basis for machine learning.

Modeling

We choose a model to build a prototype concept, based on the data we collected.

Hyperparameter
tuning

Properly selecting and adjusting hyperparameters, we set certain rules before the start of training.

Training &
Evaluation

Artificial Intelligence offers us a solution to our problem. We have to evaluate our training model with values we never used.

Prediction

At the end of machine learning, we expect an inference regarding the questions we posed to artificial intelligence.

Data is everywhere, and each character can be meaningful. Therefore, we diligently collect all information from your sources.

Careful processing and preparation of the obtained data is the basis for machine learning.

We choose a model to build a prototype concept, based on the data we collected.

Properly selecting and adjusting hyperparameters, we set certain rules before the start of training.

Artificial Intelligence offers us a solution to our problem. We have to evaluate our training model with values we never used.

At the end of machine learning, we expect an inference regarding the questions we posed to artificial intelligence.

Case

Personal Coach
App With AI

Mobile application that provides exercise analytics with video recommendations based on computer vision models.

Case

Risk Assessment
Analytics

A data analytics module that can forcast insurance risks based on the user parameters compared to the custom unique dataset of huge insurance history.

Case

HR Software
MVP

The client's goal was to create an AI-powered Recruitment System that would automate a bunch of recruitment processes and save time on matching the candidate with position.

Case

Big Data Management Software

A solution that would connect the Big Data and SQL thus helping companies better manage their data.

Our Team

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