By actively participating in initiatives and businesses that benefit our future global community, we are accepting responsibility and seeking to contribute to the solution. By collaborating together with the universities and US based research institutes we aim to reduce global electricity consumption and increase the efficiency of energy production. We are working to prevent shifting weather patterns that influence unnecessary use of electric power plants and lead to energy loss. By using AI to predict weather patterns, we were able to reduce carbon emissions and contribute to the zero-carbon future.
Our code is tested and easily maintainable. It is easily inherited, has no technical debt and works and scales as expected.
We have a disciplined and a punctual work process in which we use well planned methods to finish your project!
Having a successful strategy that we developed throughout the years makes it easier for us to deliver projects rapidly.
We have a strong bond with our clients and understand what they want. We will deliver you the project just the way you wanted it to be!
We are full of enthusiasm and always eager to work with various technologies to assure flexibility and modernity for your project!
We are always accessible for our clients and work through their concerns.
Our team consists of highly experienced software engineers. Our team members (in their previous work experience) have worked on numerous projects for big companies (including DHL and UPS) and working on projects for government (one of which is an application for US cities building/planning permits searching and map visualization).
Some of the other projects were: B2B reporting application, a real-time user simulator for bike renting application, a REST API for a bike-renting application in PHP/Laravel, working prototype for skateboard speed controlling software in C++, designed and coded route optimization and geocoding modules for the SAAS platform developed for UPS and DHL delivery companies, route constructor application for estimating and comparing routes and distribution plans, self-optimizing maps for route optimization and prediction.
Artificial Intelligence for Next Generation Energy. I-NERGY is an EU- funded H2020 innovation project around Artificial Intelligence (AI) for Next Generation Energy aiming at reshaping the energy sector value chain towards better business and operational performance, increased environmental sustainability, and the creation of a stronger social fabric propagating high social value among citizens.
Data Extraction and Filtering Tool (DEFT) is one of the projects we are currently developing for US based energy research institute. It is scenario and adequacy analysis tool for power system assessment using large weather data repositories. It includes modelling capabilities and workflow execution engine as a basis for performing complex energy systems adequacy and risk scenario analysis and data pre-processing.
Renonbill is a financing project supported by the European Union's Horizon 2020 programme. Renonbill is projected to increase the renovation rate for energy saving projects in Europe by 2-3 times using on-bill calculations and simulations to quantify cashflow and risk of a planned renovation project. This will contribute to the EU's long-term goal of lowering greenhouse gas (GHG) emissions by 80% by 2050.
Reservation management system for Slovenian municipalities. The application enables municipalities to easily schedule appointments for Slovenian citizens. It also includes self-booking app so that citizens can schedule the appointments themselves. The application supports multiple business units, locations and workstations and includes various reporting tools for the management.