For us, everything revolves around the mobility of the future and the cutting edge technologies used for that. We have integrated our knowledge and extensive experience from the automotive sector into best-practice infrastructures and processes that enable our clients’ future-oriented high-tech projects to become a reality today. The areas we are working on include Artificial Intelligence, Machine Learning and Augmented Reality.
In our TECH RADAR you can find out more about the technologies that keep us in business and the type of skills that are needed at Paradox Cat.
In our TECH RADAR, we divide the technology world into four domains – Techniques/Methods, Tools, Platforms and Languages & Frameworks. We further subdivide them into four segments – Adopt, Trial, Assess and Hold.
ADOPT technologies are field-tested, scalable and can be applied without risk. We use them in our daily work to fulfil our project objectives.
In the TRIAL segment, the technologies have already been used on a test basis, which means that we have preliminary experience in their application. In principle, TRIAL technologies have advantages but also limitations, as their use is often still considered risky.
These technologies need to be evaluated in terms of their benefits in application. Many ASSESS technologies are promising and offer clear added value. We are in the process of exploring these potential applications.
These technologies have no relevance for our current projects, but they are not excluded either.
TECHNIQUES
Continuous integration
Test Automation
Package Management
Containerization for Builds and Tests
OSS Licensing
Semantic Versioning
Code Reviews
Scrum
Agile development
Kanban
Distributed teams
Pair Programming
Train machine learning models
Deploy machine learning models
Organize, Track And Compare Trainings
Secure Software Development
Fuzzing
Virtual Reality
AR/VR Optical Tracking
Motion Capture
Augmented Reality
Cloud-based builds
Test Driven Development
TOOLS
Visual Studio Code
IntelliJ Idea
Android Studio
Qt Creator
Visual Studio C++
Matlab
CMake
Gradle
GNU Make
SCons
MQTT
ZeroC ICE
TensorFlow
Conan
Zuul
Chocolatey
Vagrant
Eclipse
Mercurial
Jenkins
PLATFORMS
Android SDK/NDK
AOSP
Linux
glTF
Collada
OpenGL
Github
Clockodo
Blender
RAMSES
openCTM
Arduino
Raspberry Pi
Github Actions
Azure Pipelines
Unity
Google Cloud AI Platform
AWS SageMaker
Azure Machine Learning Studio
Trello
instaLOD
Google Fuchsia OS
Unreal Engine
Adaptive AUTOSAR
Squish
LANGUAGES & FRAMEWORKS
C++
Kotlin
Java
C
Python
bash
Lua 5.1
Qt
Qt3D
boost
OpenCV
OpenSceneGraph
JUCE
yocto
TensorFlow
spdlog
Rust
Go
QML
Flutter
Dart
C++ 20
Protocol Buffers
Flatbuffers
Windows Batch Script
NSIS Scripting
Lua 5.3
XML file format