About Forsyst

Floods and landslides are the most lethal and destructive natural phenomena in Norway next to storms. No other natural disasters take more human lives or have larger economic consequences. With climate change, we can expect higher temperatures and increased rain. This also means an increased risk of more devastating and frequent floods. This is why we established Forsyst.
Our company strives to accurately predict floods so that public and private entities can prepare and prevent damages to infrastructure, buildings, livestock and other elements at risk.

Forsyst was founded by a trio of former colleagues working at the University of Agder drawing upon our joint expertise

  • Including more than 20 years in flood research, engineering, intelligent weather forecasting systems and developing AI solutions.
  • We build forecasting systems to predict floods.
  • What makes our systems stand out is their ability to predict water levels and assess the risk associated for each individual day.
  • This allows enough time for communities to manage the risk and take the measures needed.
  • Our flood warning systems are based on a unique blend of traditional physical-based with newer data-driven AI methods.
  • We can accurately predict floods up to seven days in advance.
Show me the systems

Team

Joao

Joao Leal

R&D manager & Co- founder

Professor at the Department of Engineering Sciences, UiA. PhD in Civil Engineering (flood waves propagation). MSc Hydraulics and Water Resources (dam-break floods). Degree Civil Engineering (Hydraulics and Water Resources).

Asle

Asle Pedersen

CCO

Business Developer & Board Member M.Tech degree in Information and Communication Technology and B.Tech degree in Telecommunication. Past experiences include business development, startups, incubator/accelerator, technology-transfer, dealflow screening, innovation, strategy, board positions and project management.

Joao

Ghali Yakoub

CEO & Co- founder

PhD candidate at UiA. Main topic is intelligent forecasting systems for wind power applications. M.Sc. in renewable energy from UiA. Masters thesis on intelligent water level prediction using artificial neural networks.