Selected projects

Forget boring projects. In Scalo, tasks connected with AI, Machine Learning, web app development, embedded systems and native mobile applications are waiting for you. See what our team has been working on recently.

Development of an application allowing patients to contact doctors remotely

Business partner
A HealthTech company operating in Switzerland and Germany

Project
Our partner has developed a telemedicine app, and our team’s challenge is to expand its functionalities to revolutionize the way doctors issue prescriptions. The new functionality will collect patients’ health information, help diagnose them, and issue in-app prescriptions. As a result, the entire process will be seamless, fast, and remote.
Our team is developing and creating a cloud infrastructure for the service from scratch. The project will also include the creation of an isolated service that can issue RestAPI for the back-end of the mobile app (BFF). Its task will be to manage the structure of patient surveys and collect the patients’ responses. Apart from the RestAPI, we are also creating a simple administration panel which will make it possible to edit rules and surveys.

Technologies used in the project
ASP.Net Core, Angular, and hosting on Azure Kubernetes Services

Implementation and testing of an algorithm responsible for controlling automated platforms

Business partner
A British company specializing in robotics and advanced machine building.

Project
We are working on the implementation and testing of an algorithm responsible for controlling automated platforms that move products in delivery centers and warehouses, 24/7.
A distributed and scalable system consisting of more than a dozen microservices evaluates the current traffic and then recalculates and recommends optimal routes for products placed on all platforms. Our specialists form part of the client’s interdisciplinary team working on both the firmware and software for this product.

Technologies used in the project
Python 3.9 (asyncio, fastapi, pydantic); microservices; RabbitMQ; Redis (communication between microservices); protobuf (communication protocol); and Azure DevOps (CI/CD).

Software that coordinates the entire electronic and electrical system in vehicles

Business partner
One of the world’s leading manufacturers of trucks, buses, engines, and construction equipment, as well as a provider of financial services underpinning the activity of numerous companies whose business affects our everyday lives.

Project
Our team has unique knowledge in the field of embedded software and works on its development and quality to deliver suitable software to the clients.
We are responsible for the development, modification, maintenance, and implementation of new functionalities within an existing application. We design solutions and also implement new requirements.
Due to the high level of sophistication of the product, our partner places a very strong emphasis on QA, code quality, and accuracy of technical and analytical documentation.
The Scalo team consists of a Solution Architect, a Delivery Lead, .Net Fullstack Developers, Business and System Analysts, Automation Testers, and Manual Testers.
Our specialists work and maintain the solution at our partner’s R&D department.

Technologies used in the project
C#; WPF; .NET core; SQL; NHibernate; Azure or other cloud solutions; UML; BPMN; Enterprise Architect; Microservices; Domain Driven Design; Visual Studio; SQL Management Studio; TFS; Altova XML Spy; ASP.NET; and Scrum.

A control application for waste collection, transport, and sorting equipment

Business partner
A multinational company supplying utility vehicles to major markets in Europe and beyond, as well as a leader in the development of new propulsion technologies for the waste disposal vehicle segment. The client is also working on IoT and Machine Learning solutions.

Project
Our team of embedded software specialists is working on a control application for waste collection, transport, and sorting equipment. One of the main priorities is to ensure the reliability of the software in terms of ensuring user safety.

The development process includes creating software and hardware simulations for initial system integration to minimize errors on the actual hardware. The project combines several engineering areas: software development, mechanics, hydraulics, and electrical engineering.

The product is developed in accordance with the V-model and safety standards used in the automotive industry. Nonetheless, we follow a Scrum/Agile approach in software development.

Technologies used in the project
C, QT, Linux, CAN, CANOpen, GitLab, and Jira/Confluence/X-Ray.

A web application to support the automation of WES (Warehouse Execution System) operations

Business partner
An American company with subsidiaries all around the world. The company develops smart warehousing and automation software that supports warehouse logistics.

Project
We are building a web application to support the automation of WES (Warehouse Execution System) operations. The system is designed to streamline warehouse operations for large e-commerce companies.

The main task of our team is to design, develop and support highly transactional applications.

Technologies used in the project
GitHub; Apptio Targetprocess; Java 8 (1.8); C11 (C++, but a lot of C9); Oracle Enterprise Linux 8; Oracle 19c RDB; Spring Boot 2.5; React; Vue; JavaScript; Jenkins; ActiveMQ; and REST Webservices

A system for handling legal business processes

Business partner
A leader in the receivables management market in Central Europe. The Group currently consists of a number of companies that offer a comprehensive, modern, and integrated suite of services.

Project
The Scalo team is developing a system for handling legal business processes. The system is designed to increase the level of automation and scalability of processes, monitor the course of the process, maintain uniformity of implemented solutions across the entire area, enable integration with new tools available on the market, and facilitate the flexible implementation of changes.
The solution uses a Machine Learning engine. It is a monolithic project based on the SOA architecture.

The team consists of a Tech Lead/Architect, three Backend Developers, an UI/UX Designer, an Automation Tester, and a Business Analyst.

Technologies used in the project
.Net Core 5 (with an upgrade to .Net Core 6); SQL Server 2017; Angular 13 (with an upgrade to 14); Xunit; Ninject; Hangfire; Automapper; Dapper; Messaging (RabbitMQ, MassTransit, and Sagi); Gitlab; Kubernetes; and SonarQube.

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