
- Manage and mitigate risks
- Simulate flood impacts
- Test mitigation approaches
At Tygron, we recognize that as a Hydrologist you need full control of your data and hydrological modelling.
To support his goal, we have developed the Tygron Platform as a crucial tool for Hydrologists, enabling them to seamlessly integrate and manage diverse datasets, model (near) real-time water issues at an extreme resolution, and efficiently simulate flood impacts.
Due to scattered data sources, extended processing times and persistent post-processing challenges, hydrologists struggle to respond promptly during flooding events.
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3. Accelerate
Collaborate with our High-End Consultancy Team to develop scalable solutions.

Tygron and Artificial Intelligence
by Maxim Knepfle, CTO Tygron Artificial Intelligence (AI) is hot, and it seems that everyone needs to implement some sort of AI. But what does AI entail, what is the

The Technological Backbone of the Tygron Platform: GPU Power, Interoperability, and GIS-Based Modeling
At Tygron, we understand that as an engineer, you aim to stay at the forefront of technological innovation, seeking robust solutions tailored to meet the demanding needs of modern engineering

Standardizing flood defenses using a supercomputer
The Vechtstromen water organisation was faced with the task of standardizing its flood defenses. In total, the water organisation has 400 km of barriers. The main questions to be answered

Hydrodynamic Model of Khakovka dam breach
In the hours and days after the catastrophic Kakhovka dam break in Ukraine, Tygron worked intensively with Arcadis to build a model in order to gain better insights into the disaster.

Logbook flooding in Limburg (NL) 16 juli 2021
In July, 2021 the Dutch watersystem was confronted with a historical runoff of water. In the hours after the flood, the Tygron Team has processed all relevant data and tried

Hyper-resolution Flooding of the Bommelerwaard
Last year Tygron breached the 1 billion grid cells threshold. Today we are using this Massively parallel GPU technology (100.000 execution tasks in parallel) for more use-cases and refining it