Improving the efficiency of healthcare client encounters with LUMI supercomputer
Gosta Labs 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. Gosta Labs has used LUMI supercomputer to develop task-specific language templates.
For health and social care professionals, up to half of their daily working time can be spent on administrative tasks such as creating client and patient records. At the same time, there can be differences in the recording practices of professionals in different organisations. The aim was to harmonise these recording practices.
To solve this problem, Gosta Labs started developing an AI assistant that could help with administrative tasks in healthcare. First, the company set out to solve the problem of generating client and patient records in European languages. Around the world, several so-called “ambient clinical documentation” solutions are already in use, notably in the US. Many of these solutions use closed, large language templates developed in the US, which are also available in Europe.
Aiming for high-level data protection and a controlled language model training process
Data protection is of paramount importance in the healthcare sector. It is also crucial to understand how the underlying language models have been trained and how well they work with European healthcare systems.
“Our goal from the beginning has been to create our own healthcare-specific task models, whose starting data is known to our team and whose training process is fully under our control,” says Henri Viertolahti, CPO & founding member of Gosta Labs.
“This enables us to develop more privacy-preserving, environment-independent solutions and performance-optimised task-specific models.”
“We are also contributing to the European healthcare AI ecosystem in relation to global players,” continues Lauri Sippola, CEO & co-founder of Gosta Labs.
LUMI supercomputer as a training platform for machine learning models
Training task-specific machine learning models requires substantial computing power. LUMI supercomputer was chosen as the best platform for Gosta Labs to train its models. The company’s AI team in Otaniemi, Espoo, also has extensive experience in leveraging CSC’s computing environments from their university and doctoral research work. The SLURM batch job environment used by CSC was already familiar to Gosta Labs from previous supercomputers they used for training language models during dissertation research.
According to Gosta Labs’ AI Scientist Jarkko Lagus, the deployment process went relatively smoothly and was straightforward. For their model training runs, Gosta Labs utilized LUMI video training materials as well as tools and tutorials on how to use PyTorch on large computing clusters with AMD GPUs, originally developed by TurkuNLP and Silo AI for training their Poro and Viking language models. Thanks to these resources, conducting comparable model training in the LUMI environment was successful.
Funding for computing, growth and internationalisation
Gosta Labs has an ongoing industrial research project supported by Business Finland, which helped them to launch their LUMI work in spring 2024. In autumn 2024, they raised €1.2 million in pre-seed funding to accelerate the company’s wider development and internationalisation.
“For computationally intensive R&D projects of SMEs developing competitive products for international markets, we offer special computational support for LUMI computing services up to €100,000, though most customers require less. Large and midcap companies, on the other hand, can get normal R&D funding for these costs,” says Outi Keski-Äijö, Ecosystem Manager, Business Finland.
During the project, we created several task-specific models that allow us to replace large, closed models. We improved our models’ performance and resource efficiency, while also offering an environment-independent alternative to closed large language models from a data protection perspective.
Henri Viertolahti, Gosta Labs
“Our project got off to a fast start, and it exceeded our expectations in many ways. During the project, we created several task-specific models that allow us to replace large, closed models. We improved our models’ performance and resource efficiency, while also offering an environment-independent alternative to closed large language models from a data protection perspective,” summarizes Viertolahti.
“Additionally, we achieved the scalability needed to produce the necessary European data sets for training and to train our models for multiple European languages.”
Customers excited about the expertise
Feedback from customers has been extremely positive.
“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 Sippola.
“In addition, our development efforts have been praised by data protection teams in healthcare organizations,” adds Viertolahti.
Finnish and European – woven into the company’s DNA
“Being part of the Finnish and EU AI ecosystem is built into our DNA. It’s really great to be able to develop our own models with LUMI. Promoting European technological and AI expertise is also a very important mission for us at Gosta Labs – also taking into account the current global situation,” emphasises Sippola.
“The implementation of certain tasks using large language models consumes a significant amount of computing power and resources in relation to the benefit of the task. The models we develop will be able to run in much lighter environments and will be more energy efficient, for example,” explains Viertolahti.
European AI development and its importance is a recurring theme in the societal debate. Therefore, investing in Finnish AI and language model development is of great societal importance – not only for Finnish and European language capabilities, but also for European technological competence and self-sufficiency. This value is underlined when it comes to social and health tools.
Models in use in Finland – next stop Europe
Gosta Labs’ ambitions are high. The company wants to be 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 Sippola.
“Working with Gosta Labs has given us useful experience in healthcare technology, AI model development and data privacy needs. We look forward to continuing our involvement in developing powerful tools for the future of healthcare,” says Dan Still, CSC Partnership Manager.
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Dan Still
Dan Still works with building industrial partnerships and networks to boost industrial HPC use.
