Web / App development

We develop high quality applications that increase profit and effectiveness of your business.

We work in the most pressing areas of cyber security today.

E-learning

E-learning

Мobile apps

Mobile

apps

Мobile apps

MES systems

MES

systems

MES systems

CRM systems

CRM systems

Cases

Video platform for e-learning
Smart CRM
AI medicine platform
starbucks

Video platform development

A platform for online learning and testing was developed.

Custom video player and video converting, ability to create and book live events.

High level of data security.

Laravel, Angular technology stack.

starbucks

Smart CRM with recommender system

We developed smart CRM system that significantly increased sales with the help of machine learning methods.
The system took into account the history of interaction with clients and recommended which offer to which client should be made.
starbucks

Machine learning for mechanical ventilation

Our web and mobile app provide to clinical stuff data about patients enriched by machine learning algorithms.
Solution detects mechanical ventilation asynchronisms, predict patients future condition and give recommendations to stuff for optimal regime of equipment.

Our competitive advantages

Experienced professionals

Our developers have wide experience in high loaded enterprise level projects.

Data management

Our data scientist and cyber security specialists will always care about your data.

In-house system and business analysts

Complex solution requires qualified analytics that we provide.

User-friendly interface

Solutions have convenient UX and nice interface developed by our top level designers.

Our latest publications

Recommender system for defects reduction

Machine learning techniques can effectively reduce defects and waste in metallurgy. Let's see how we did it in the sheet metal workshop

More about

Recommender systems

In this article, we'll take a look at what recommender systems are and how they work.

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AI for asynchronism detection

How we improved treatment of patients in ICU with machine learning app.

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