From start-ups to well-established industry leaders, our team of experts are passionate about solving your problems, no matter the complexity.

Here is how we have helped businesses like yours

 
 

GPt-powered chat assistant

ChatGPT, retrieval-augmented generation

Losjitech is an operations platform for the hospitality industry. By combining ChatGPT with their internal knowledge base of property information and procedures, we created a dynamic chat interface able to handle guest inquiries, freeing up precious time for the employees. For staff, the assistant reduced work load further by helping generate and submit various issue forms.

Smarter Cancer Screenings

collaborative filtering, maintenance, data visualisation

In collaboration with the Norwegian Cancer Registry, we are using machine learning to improve the national screening program by predicting females with higher risk of cervical cancer. As a result, at-risk females can get better follow-up while at the same time reducing strain on our health services.

 
 
 
 

Keeping Norwegian Salmon Safe

image classification, edge deployment

We developed the machine learning model for a smart fish trap protecting the endangered native salmon species. After training a state-of-the-art image classifier model and solving a multitude of edge deployment challenges, the project was awarded the Special Jury Prize at the World AI Cannes Festival 2023 and was a top 10 finalist at the UN’s sustainability awards.

 
 

Improving Efficiency and Safety

computer vision, regression, continuous deployment

As a long-term partner with Equinor, we have provided continuous deployment of machine learning models used to improve both business efficiency and well safety. Employing both computer vision and regression methods, we are designing the new industry standard.

Personalised recommendations

NLP, recommender systems

In a collaboration with Conexus, we developed a recommendation algorithm for matching teachers in Singapore with courses relevant to their professional development. The algorithm combined several state-of-the art techniques to display personalised course recommendations in order to improve user experience.

 

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