Application Development

 

Kunde:	Civil engineering office of the canton of Zug Department of Road Maintenance
Applikation:	smartBSAzg
Technologie:	Python, Django, NGinx, MySQL, Angular, ag-grid, XML, React Native

The Electrical Engineering Department of the Canton of Zug Civil Engineering Office is responsible for the planning, construction, operation and maintenance of the operating and safety equipment (BSA) of the cantonal roads.

The electrotechnical operating and safety equipment (BSA) of the cantonal roads in the canton of Zug shall become smart.

All BSAs of the Canton of Zug, which are located on the cantonal roads or in technical premises, must be clearly identifiable by means of a plant identification system (ACS).

Already today, all BSA elements of the canton of Zug are clearly marked. However, the existing coding was no longer sufficient. In smartBSAzg, the BSA will receive an extended AKS coding.
The new AKS code is formed from 14 segments according to AKS-ZG+, which also allows the dynamic coding of data points.

soXes has received the order to develop a web-based BSA tool. In the smart BSA tool, all BSAs are to be inventoried. smartBSAzg contains the static master data, which can be dynamically synchronized with connected peripheral systems (UeKS and UeLS) via XML interface.

New and changed BSA data should be automatically synchronized with surrounding systems. An XML-based interface is to be built, which allows daily data synchronization with surrounding systems.

Within the scope of this project, soXes has also developed a mobile app that allows to read all captured BSA data by scanning the data matrix on the on-site BSA signs.

 

Kunde:	Provider in DeFi Sektor
Applikation:	Arbitrage Trading Tool
Technologie:	Blockchain, .NET, ASP.NET, Angular JS, C#, Excel, JavaScript, REST, SQL Server

A provider of decentralized financial products operates a platform for cryptocurrencies, which was to be supplemented with a tool for arbitrage trading. The tool was to be based on a trading algorithm and thus function autonomously, making it possible for customers to passively generate income. soXes was commissioned with the implementation of this project.

In arbitrage trading of a cryptocurrency, the price differences on the different exchanges are exploited by buying the cryptocurrency from the cheapest provider and reselling it from the most expensive one. The price difference remains as profit.

For the algorithmic implementation of this trading method, the various exchanges must first be accessed. All prices from these are then collected and fed into the algorithm, which makes the specific buy and sell decisions. Due to the high volatility of cryptocurrency prices, fast access times and efficient algorithms are critical for the successful operation of the tool. Here, soXes was able to draw on a lot of experience in the fintech sector and build a stable and high-performance application using ASP.NET and C#.

With the help of the tool, end customers can now automate time-consuming arbitrage trading and use their crypto assets to passively generate income. The algorithm was designed in such a way that the tool can be easily used by anyone without any prior knowledge.

 

Kunde:	Assessment Gate AG
Applikation:	Assessment Gate
Technologie:	ASP.NET Core, C#, JavaScript, SQL Server, WordPress, WooCommerce, PHP, MySQL

Assessement Gate AG offers a targeted and holistic solution approach in the field of personnel selection a precise suitability forecast with individual candidate assessments. Quickly and easily, customers receive a basis for decision-making that is based on psychological knowledge, thorough data analysis and artificial intelligence.

The basis of this automated suitability forecast is a personality profile, which is created for each potential candidate using a detailed questionnaire.

The candidate's personality is assessed using a diagnostic tool that has been tried and tested over many years. This results in a comprehensive personality profile. In parallel, the companies determine the job profile with the help of various predefined selection fields by defining and weighting main tasks with regard to their importance for the job.

Based on many years of experience, a comprehensive data analysis and with artificial intelligence, an algorithm was developed which compares the job profile with the personality profile of the candidates. The result is the suitability prediction.

soXes accompanied the entire development process of Assessment Gate, taking overall responsibility for the technical part of the project as well as doing the complete implementation.

For the success of this project, soXes drew on its many years of experience in custom software development and project management and used a combined stack of several technologies.