We go for the latest commercial and open source tools to solve problems of all sizes and complexities. We learn experientially, that is, we work on real problems with real methods, and seek to understand the foundations of those methods. A variety of cutting edge technologies are used in different parts of our products with the goal to deliver only the best.
Systems that read code as good as humans do and draw inferences from it. Program analysis consists of techniques which perform automated analyses of large codebases and come up with statistics to take an opinionated stand on the quality of the code. It leverages core concepts of computer science and software engineering such as being able to parseprograms written in different languages, observing how they are compiled into byte code, and how the code is made use of.
The primary goal of all computing is to automate processes. With cloud, we achieve ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources. All round accessibility equals increased flexibility for us, making it possible to work from anywhere, in and out, with any device. Cloud enables this and more with minimal management effort and effectively infinite scalability. We use established best practices like Service Oriented and Event Driven Architectures to leverage cloud and perform computing at scale.
Can machines think? Sure they can. We construct algorithms that perform analyses and learn based on existing data. This gives the computers the ability to learn without being explicitly programmed. So, instead of making programs that explain to computers how to perform specific tasks, we make programs that explain computers how to learn by themselves to perform those tasks.