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This is the second blog in our series where we show that our mathematical strengths are an important complement to our programming skills. Using a mathematical approach, we achieve solutions that programming alone couldn't. This time, we speak with Thea, who, along with Bas and then-colleague Alouette, worked on a fantastic project for Boskalis. Their mathematical insights led to a tremendous reduction in computing time, making a previously unusable computation feasible.

VORtech has won an important tender from TenneT in close collaboration with Tata Consultancy Services (TCS) Netherlands. For at least three years, we will be helping to develop software for calculations around the high-voltage network. 

VORtech won a tender from Rijkswaterstaat Water Verkeer en Leefomgeving (WVL) for the renewal of strategic passenger transport models.

When Hans Voerknecht developed a new way to evaluate accessibility a few years ago, he quickly knew that this would require good software. Although he could program himself, he also realized that his strength lies in devising the calculation method and not in software development. That is why he partnered with VORtech.

Every year, humanity uses some 40% more of the earth’s resources than the earth can sustainably supply in that year. Clearly, this cannot go on forever. Awareness of this is growing and major transitions are starting to take shape. As an expert in developing computational software, VORtech sees an important role for itself in developing the software for computing and simulation that is needed to make these transitions. We are happy to see this already reflected in our client portfolio.

In many companies, the workflow around simulations is a highly manual and error-prone process. Automating a simulation workflow saves time and effort. Moreover, it makes the process far more reliable, and it opens new possibilities.

How can machine learning be used to optimize production processes with data from machines? And how to approach this? This whitepaper offers a step-by-step plan.

Building a specialized information system not only requires a developer with domain knowledge, but also a good collaboration between the user and the developer. In this blog, we show how this works in practice, illustrated with examples from a system for monitoring the Dutch coastal waters.

The FailurePredictor is a concept to make electricity grids more robust and reliable using a combination of expert experience and machine learning.