Enabling Your Digital Future.

Using technology to inspire our clients. And ourselves.

We are in the midst of a digital revolution, one which is fundamentally altering the economic and social landscape. Digitally enhanced business models, digital consumers and digital employees require methods, technologies and thought processes which go beyond the traditional. In order to maintain their success, companies must take action.

As IT service providers, we give our customers the methods, technology and cultural awareness they need to succeed in the digital arena. In order to do this, we have established ourselves as a one-stop shop provider, offering an integrated portfolio of services to get your company fit for the digital future. We focus on the following key areas:

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References & Case Studies

EXARING AG: Distributed, Scalable Agility in the Development of waipu.tv

EXARING AG: Distributed, Scalable Agility in the Development of waipu.tv

A team of experienced leaders from the TV industry came up with the idea of using this exclusive broadband infrastructure to set up the leading IPTV brand. The aim was to bring digital TV to an increasingly digital audience, while simultaneously transforming the TV advertising market. inovex was significantly involved in the design and implementation of the waipu.tv's backend and the mobile applications for Android and iOS, as well as in assembling the development teams.

Read the "waipu.tv Case Study"
mobile.de: Use Cases for Online Portal Recommendations Using Data Products

mobile.de: Use Cases for Online Portal Recommendations Using Data Products

mobile.de is a marketplace for the buying and selling of vehicles. Every month, the web platform draws 13.5 million visitors who can choose from the more than 1.6 million vehicles on offer. Each visit to the platform creates a stream of data which contains information about the demand for particular vehicles, the quality of the vehicles for sale, and user requirements. mobile.de wants to use this data to continuously improve the user experience for both vehicle sellers and purchasers.

Read the "mobile.de Case Study"
C. H. Beck Verlag: Implementation of a Flexible Image Service Based on Microsoft Azure

C. H. Beck Verlag: Implementation of a Flexible Image Service Based on Microsoft Azure

Product photos are an integral part of the user experience in online shopping. The online shop belonging to the C. H. Beck Verlag, Germany's market leading publisher of legal literature, contains over 7 million products. In the publisher's online store solution each book is represented by at least four versions of the same image. inovex worked with Beck to develop a state-of-the-art Microsoft Azure-based architecture which solves the storage problem.

Read the "C. H. Beck Verlag Case Study"

inovex Blog

Developer Learnings from Using CosmosDB with .NET Core

inovex Blog

Chris Brammer | 22.07.2019

Developer Learnings from Using CosmosDB with .NET Core

CosmosDB is a global database in the Azure universe. In this blog we’ll look at its different APIs: the SDK, Entity Framework Core and the MongoDB API. CosmosDB, formerly known as DocumentDB, is Microsoft’s take on a globally distributed database, which automatically manages scaling and data consistency. In times of big data and the cloud these are very welcome features to gain without investing development time. [...]

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Spinnaker vs. Argo CD vs. Tekton vs. Jenkins X: Cloud-Native CI/CD

inovex Blog

Simon Kienzler | 15.07.2019

Spinnaker vs. Argo CD vs. Tekton vs. Jenkins X: Cloud-Native CI/CD

With tools like Kubernetes becoming essential for most modern cloud deployments and companies adopting their take on DevOps culture, there is high demand for cloud-native CI/CD. But how can we achieve increased velocity in deployment while also taking care of things like infrastructure as code, immutability, portability and security? [...]

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Summarizing Long Texts with Seq2Seq Neural Networks

inovex Blog

Leon Schüller | 08.07.2019

Summarizing Long Texts with Seq2Seq Neural Networks

This blog post describes my master thesis „Abstractive Summarization for Long Texts“. We’ve extended existing state-of-the-art sequence-to-sequence (Seq2Seq) neural networks to process documents across content windows. By shifting the objective towards the learning of inter-window transitions, we circumvent the limitation of existing models which can summarize documents only up to a certain length. With our windowing model we are able to process arbitrary long texts during inference. [...]

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