Our Expertise in AI
Discover how our partners’ skills and services can benefit your organisation, and contact us to discuss how we can support your projects.
Arbonaut
Arbonaut uses machine learning to analyze forest ecosystems, including tree species identification and biomass estimation.
Use cases
Forest carbon sink calculation
Ecological risk assessment
CSC – IT Center for Science
CSC offers HPC environments and expert support for AI development.
Use cases
Image recognition
Simulations in natural sciences
Finnish Meteorological Institute
FMI uses AI and machine learning to improve weather forecasts and climate modeling.
Use cases
More accurate weather and air quality forecasts
Climate change modeling
Impact forecasts such as storm damage prediction for energy companies
Geological Survey of Finland
GTK develops artificial intelligence and machine learning methods and tools for mineral exploration, data digitization, and geoenergy potential assessment. Artificial intelligence and machine learning are also used to process old geological data and digitize paper-based material.
Use cases
The AIMEX project developed machine learning methods to improve the efficiency of mineral exploration. AI is also used to digitize and process old data, find incorrect information in databases, and streamline processes.
Gispo
Gispo utilizes open-source tools, such as QGIS, to perform geospatial analyses, which enables the application of artificial intelligence and machine learning to spatial data.
Use cases
Gispo has trained its clients to use the open source GIS tools for spatial analysis, allowing them to leverage AI and machine learning. Gispo has also developed a training course that introduces the use of AI in the geospatial domain, helping professionals understand key concepts and practical applications.
Intellisys
Intellisys leverages artificial intelligence and machine learning, particularly for patent mapping and intellectual property searches. This enables efficient and accurate information retrieval from extensive databases.
Use cases
Mapping patents and enhancing IPR searches across different industries
KIRAHub
KIRAHub promotes the use of AI in the built environment by offering training (e.g., “AI in the Built Environment” online course), group learning, and an AI accelerator to support solution development.
Use cases
Companies have used KIRAHub resources to develop AI solutions for improving building energy efficiency, optimizing maintenance, automating data management, and creating predictive models.
Natural Resources Institute Finland Luke
Luke utilizes data analytics, machine learning, and language models to enhance agricultural production processes.
Use cases
Using data analytics and AI techniques to create situational awareness for farming decisions and streamline farm operations.
Metsäteho
Metsäteho utilizes AI and machine learning in the development of wood supply planning, operations, and quality management.
Use cases
Building AI-assisted systems; adaptive systems for timber harvesting planning.
Oulu University of Applied Sciences
At Oulu University of Applied Sciences (Oamk), AI expertise has significantly strengthened in recent years in both education and research and development activities. AI is particularly addressed in information and communication technology training, but also extends to mechanical and production engineering, media, and construction. Oamk has launched three major AI-related research, development, and innovation projects supporting companies and society in leveraging AI's potential to improve workplace well-being and productivity, as well as develop digital business skills. AI expertise is integrated into education and research and continuously developed through collaboration with working life.
Use cases
Oamk participates in the AITO project to increase AI skills for teachers, students, and company representatives.
The project explores AI possibilities and impacts in construction engineering, media, ICT, and mechanical and production engineering.
AI expertise is integrated into ICT training, teaching students to use AI in programming and practical projects.
Specialized courses such as "AI in Marketing" and "Digital Transformation, Robotics, and AI in Services" allow students to deepen their knowledge of AI applications across fields.
Sitowise
Sitowise uses AI to enhance services, optimize processes, and deliver innovative data analytics across sectors.
Predictive analytics for improved forecasting.
AI and machine learning for geospatial data analysis: forest biomass and carbon accounting, disease and pest detection, forest valuation, and climate impact assessment in zoning.
Integrated into SmartLas and Planect products.
Use cases
Predictive analytics for improved forecasting.
AI and machine learning for geospatial data analysis: forest biomass and carbon accounting, disease and pest detection, forest valuation, and climate impact assessment in zoning.
Integrated into SmartLas and Planect products.
Spatineo
Machine learning for satellite image analysis and quality improvement. Examples include grain quality detection from Sentinel-2 data and terrain load-bearing analysis from multiple satellite sources. Also includes a geospatial data search engine based on machine learning and generative AI.
Use cases
Satellite image analysis
Open data search
Ubigu
Ubigu provides services for designing and implementing AI solution architectures, especially in geospatial contexts. Over the years, services have included CNN, NLP, LLM/GPT, and OR-type solutions.
Use cases
Enhancing digitization of geospatial data, automating data analysis and classification, optimizing location selection.
University of Helsinki
The University of Helsinki has expertise in applying machine learning and GeoAI techniques to support spatial data analysis and data-driven planning and research