Tailored solutions

Sometimes cookie-cutter solutions just don’t cut it. We specialize in custom tailored software, where our deep knowledge in numerous different areas comes together to deliver part of, or indeed the entirety of, the perfect solution to your problem. We do everything from web based CRM systems to embedded systems with machine learning!

Batteries included

In the last few years we have been focusing on hiring engineers with different backgrounds and skill sets in order to offer a complete package to our customers. Project management, UX, backend, devops, frontend, we’ve got it all, ready to go!

High quality engineering

Thanks to our unique model our engineers are always deeply engaged and highly competent. We all strive to make Neodev synonymous with high quality engineering.

Whole projects or individual parts

We work with projects of differing size and complexity, from whole solutions (like a web application) to individual parts (like a backend service). No project is too large or small for us.

Some of our clients.

Digitalization & the Cloud.

A typical Studio project often revolves around taking a pre-existing, often archaic, application and moving it into the present. We re-imagine old Pascal applications as user friendly web applications and build them on top of the latest cloud technologies.

The gains are enormous and usually lead to kick-starting broader digitalization efforts where old services start to become interconnected and new exciting possibilities open up!

Off-shore? Try South-shore!

Our Studio teams work from our office in Malmö in close collaboration with our clients. From here we can take on projects from the whole of Sweden and the rest of our nordic neighbours.

studio@neodev.se
+46 (0)73 385 69 15

Previous projects.

Web application

Automotive

Web application for online, real-time, production line visualization.

The application shows information about produced components as well as the status of the different production lines and the components in production. The project included the development of a design language, component library and UX design as well as a Node.js backend (FoalTS, TypeScript) that acts as a middleware for the existing MS-SQL databases. The front end is mobile friendly and presents the production data in a user friendly manner, developed in React (TypeScript).

[Node.js, JavaScript, TypeScript, React, FoalTS, MS-SQL]

Systems development

Machine learning

Developing a machine learning framework for use in a real estate system with a React-based front end hosted on GCP. The framework includes data upload, model training, evaluation and prediction.

[NLP, FastText, Python, Node, scikit-learn, GCP, Firestore, Cloud run, OpenAPI, JWT]

App development

Machine Learning

Hojta!

We participated in a hackathon (Inhabitation) arranged by Helsingborg city. The challenge was to solve the digital exclusaion of elders (70+ years) in society. We created an application with a Tinder-like UI where people could match up based on common interests. As winners of the hackathon we received prize money to continue the development and present a fully working prototype.

[React, JavaScript, Google Cloud, git, CSS]

Systems development

Machine learning

Vinnova project - Integrating a new AI-module into an existing system. The module was used for categorizing textual data in different classification systems, including text pre-processing and implementation of models for embedding words.

Front end development for this system, including a user interface in React to ease the data gathering and demonstrate the categorization. [NLP, Python, React, MongoDB, React, Javascript, Flask]

This client also let us modernize their existing web application from jQuery and webforms to React.

[Git, React, Javascript, C#, ASP.NET, .NET framework]

App development

Machine learning

Design and development of a mobile first ‘sample gathering’ web application with a server-less backend in Azure. Implementation of model training and versioning pipeline. The models where used by another web application for prediction through a real-time Tensorflow JS implementation.

[Python, Node, Tensorflow, Keras, Javascript, Azure (Cosmos DB, Functions)]