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Our Services

We are a boutique digital solutions provider specialized in delivering tailor-made predictive software that utilizes both machine learning and mathematical models. Through the fusion of domain expertise and cutting-edge AI technology, we assist businesses in extracting maximum value from their data.

Data Engineering

Struggling to unlock the full potential of your data? We help you setup the right scalable data solutions that allow you to swiftly connect the dots. 

Predictive Models

Digital twins that comprise a virtual representation of reality. These models allow you to anticipate the future and fully leverage your data and process knowledge. 

Start2ML

We pave the way for you to develop in-house machine learning solutions. Acquire in-depth machine learning knowledge through our training and coaching program.

 

Our Work

Deme Offshore

We turned a complex and time-consuming computational model into a fast data-driven artificial intelligence model. This allowed our client to evaluate more scenario's; ultimately leading to a significant cost reduction. 

Waffle CC

We helped the Waffle Company to forecast their daily revenue across their network of distribution centers. This enabled our client to fine-tune operational staff planning. 

Ikologik

We created a predictive maintenance tool to avoid unplanned machine failure and optimize maintenance efforts.

Jan De Nul

In this project, we helped Jan De Nul make sense of their field measurements by alligning their various data sources into tools that allowed them to quickly and adequately analyze their offshore operations

Qweriu (iNose)

The iNose boosts air quality management with real-time monitoring of odor and emissions. In this project, we improved the air quality monitory by applying anomaly detection processing to raw measurements. 

Deme Offshore

We turned a complex and time-consuming computational model into a fast data-driven artificial intelligence model. This allowed our client to evaluate more scenario's; ultimately leading to a significant cost reduction. 

Waffle CC

We helped the Waffle Company to forecast their daily revenue across their network of distribution centers. This enabled our client to fine-tune operational staff planning. 

Ikologik

We created a predictive maintenance tool to avoid unplanned machine failure and optimize maintenance efforts.

Jan De Nul

In this project, we helped Jan De Nul make sense of their field measurements by alligning their various data sources into tools that allowed them to quickly and adequately analyze their offshore operations

Qweriu (iNose)

The iNose boosts air quality management with real-time monitoring of odor and emissions. In this project, we improved the air quality monitory by applying anomaly detection processing to raw measurements. 

Deme Offshore

We turned a complex and time-consuming computational model into a fast data-driven artificial intelligence model. This allowed our client to evaluate more scenario's; ultimately leading to a significant cost reduction. 

Waffle CC

We helped the Waffle Company to forecast their daily revenue across their network of distribution centers. This enabled our client to fine-tune operational staff planning. 

Ikologik

We created a predictive maintenance tool to avoid unplanned machine failure and optimize maintenance efforts.

Jan De Nul

In this project, we helped Jan De Nul make sense of their field measurements by alligning their various data sources into tools that allowed them to quickly and adequately analyze their offshore operations

Qweriu (iNose)

The iNose boosts air quality management with real-time monitoring of odor and emissions. In this project, we improved the air quality monitory by applying anomaly detection processing to raw measurements. 

Testimonials

Pieter Vaes

Project manager, DEME Group

We were really satisfied with the collaboration with PropheSea. The entire project went smooth, from project initiation to-deployment.

Chris Desomer

Project Manager, Ocean

During the entire project cycle, PropheSea promoted an agile attitude to come up with solutions even in non-ideal situations, leading to great results, Working with PropheSea means open, transparent communication and qualitative reporting,

Nicholas Van Damme

Research and Develop Engineer, Deme Group

Due to PropheSea's proactive and flexible attitude, the surrogate model was delivered with a short throughput time while maintaining the highest quality level.

About

How the power of machine learning technology can be further enhanced? By taking into account domain expertise in every step of the process. 


PropheSea was founded in 2020 by Tomas Van Oyen, driven by the belief that, in addition to machine learning, process knowledge (defined as mathematical models) continue to play a crucial role in to create added value with predictive software. 


By complementing data-driven AI technology with process expert knowledge (defined in mathematical models), PropheSea aims to achieve revolutionary breakthroughs and efficiency gains while respecting specific expert knowledge and physical laws.

 

Be in the Know

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Insights

Weather and AI

Predicting the weather is essential for our day-to-day activities Conventional forecasts are based on physical (conservation) equations implemented using numerical models. Generative machine learning technology is leading to a paradigm shift in weather forecasting

 

On Physics Informed Learning

Physics Informed Neural Networks (PINNs) are an advanced methodology to improve predictive modelling by integrating prior knowledge into the solution

 

Using PINNs for CHP
heat output Modelling

How physics informed neural networks (PINNs) can improve the development of a digital twin of a combined heat and power generation system

 

Weather and AI

Predicting the weather is essential for our day-to-day activities Conventional forecasts are based on physical (conservation) equations implemented using numerical models. Generative machine learning technology is leading to a paradigm shift in weather forecasting

 

On Physics Informed Learning

Physics Informed Neural Networks (PINNs) are an advanced methodology to improve predictive modelling by integrating prior knowledge into the solution

 

Using PINNs for CHP
heat output Modelling

How physics informed neural networks (PINNs) can improve the development of a digital twin of a combined heat and power generation system

 

Weather and AI

Predicting the weather is essential for our day-to-day activities Conventional forecasts are based on physical (conservation) equations implemented using numerical models. Generative machine learning technology is leading to a paradigm shift in weather forecasting

On Physics Informed Learning

Physics Informed Neural Networks (PINNs) are an advanced methodology to improve predictive modelling by integrating prior knowledge into the solution

 

Using PINNs for CHP
heat output Modelling

How physics informed neural networks (PINNs) can improve the development of a digital twin of a combined heat and power generation system

 

Ready to turn your data and process knowledge
into valuable software solutions ?