Skip to main content
Image
doctor patient

NCC Finland

NCC Finland is part of the EuroCC2 project, which establishes national HPC competence centers in different European countries. EuroCC Finland's mission is to support and improve the capabilities of Finnish business users to utilize the opportunities of high- performance computing, data analytics and artificial intelligence. Through EuroCC Finland, companies have access to the computing capacity of the EuroHPC LUMI Supercomputer. EuroCC Finland is operated by the CSC – IT Center for Science.

Industrial organisations involved: 

Gosta Labs Oy is a Finnish health technology company developing machine learning models to improve patient care and medical practice. The company’s flagship product is Gosta Aide, an artificial intelligence assistant with language models tailored to the needs of the social and healthcare sector, automating the creation of client and patient records. This frees up the time of care staff for client encounters, thus supporting the delivery of human-centred, high-quality care.

 GostaLabs team

Technical/scientific Challenge

Health and social care professionals need to spend up to half of their daily working time on administrative tasks such as creating client and patient records. There can be differences in the recording practices of professionals in different organisations. The aim was to harmonise them and develop an AI assistant to help with administrative tasks in healthcare. Gosta Labs wanted to generate client and patient records in several European languages. While existing solutions are already in use (mainly US), many of them use closed, large language templates with insufficient data protection. There is a need for high-level data protection and a controlled language model training process.

Solution:

Gosta Labs has used the LUMI supercomputer to develop task-specific language templates. Training task-specific machine learning models requires substantial computing power. LUMI  was chosen as the best platform for Gosta Labs to train its models. During the project, the company created several task-specific models that allowed the replacement of the previous large, closed models. They improved their models’ performance and resource efficiency, while also offering an environment-independent alternative to closed large language models from a data protection perspective. They also achieved the scalability needed to produce the necessary European data sets for training and to train their models for multiple European languages. The models they develop will be able to run in much lighter environments and will be more energy efficient too.

Business impact:

Gosta Labs´ industrial research project supported by Business Finland, helped them to launch their LUMI work in spring 2024. Later the company raised €1.2 million in pre-seed funding to accelerate its wider development and internationalisation. The company aims to become Europe’s leading AI developer in healthcare. The first models have already been developed and deployed in healthcare in Finland and Switzerland.

“The next step for Gosta Labs is to extend its support to more European languages. We want to continue to develop new models and further develop our models on LUMI. We will also improve our capabilities in the automated measurement of impact data,” says Lauri Sippola, Co-founder &Chief Executive Officer of Gosta Labs.


“Our customers have been genuinely excited about our strong European expertise and our ability to develop machine learning models for healthcare, so that not all solutions need to rely on global providers,” says Lauri Sippola.

“In addition, our development efforts have been praised by data protection teams in healthcare organizations,” adds Henri Viertolahti, Co-Founder & Chief Product Officer of Gosta Labs

Benefits:

  • Created several task specific models allowing replacement of large, closed models.

  • Improvement of models´ performance and resource efficiency 

  • Organisational environment independency and improved data protection

  • Improved scalability to train models for several European languages

Success story # Highlights:

  • Keywords : Health care, AI assistant, technology development, task-specific European language models, machine learning models 

  • Industry Sector : Health care, technology services & software providers

  • Technology HPC, AI, machine learning