Project period: 01.04.2026 – 31.03.2028
The aim of the project is to develop STYO (STrategic Yield Optimiser), a renewable energy investment analysis platform that enables the profitability of energy asset development projects to be assessed quickly and reliably over a period of at least five years.
The project will develop prototypes for medium-term energy price forecasting and investment profitability scenario analysis. STACC’s energy system simulator will also be extended with capabilities for sizing building energy assets and simulating heating energy consumption. The project will result in a comprehensive financial analysis methodology for investments in electricity assets and a software-as-a-service solution implementing this methodology.
The total cost of the project is EUR 635,391, of which the funding amounts to a maximum of EUR 370,704.20 and STACC’s contribution to at least EUR 264,686.80.
Project period: 01.11.2025 – 31.12.2029
Project number: RE.5.04.25-0861
CLEAR is a multinational ITEA research and development project aimed at creating customisable multimodal artificial intelligence solutions for industrial applications. The project focuses on integrating diverse types of data into industrial AI systems and improving the reliability of their outputs.
Using advanced AI and context-aware methods, CLEAR will enhance the ability of large language and multimodal models to process complex data inputs while reducing AI hallucinations. The project aims to lower operational costs and improve the safety, reliability and availability of systems in sectors such as transportation, agriculture and manufacturing.
More information: https://itea4.org/project/clear.html
Project period: 01.05.2025 – 31.10.2025
The BEMO project seeks to develop and validate a solution prototype that enables to optimize energy systems in commercial buildings and also use buildings as energy resources within Virtual Power Plants (VPPs). The project focuses on the combined and intelligent utilization of three key building energy assets: indoor climate energy inertia, battery storage systems, and solar energy production. By integrating these resources, the solution aims to support grid stability, generate new revenue streams for building owners, and maintain optimal indoor climate conditions.
The lead partner of the project is ThinFacility OÜ. The project is funded by Enterprise Estonia.
Project period: 01.05.2020 – 31.12.2024
SoBigData++ strives to deliver a distributed, Pan-European, multi-disciplinary research infrastructure for big social data analytics, coupled with the consolidation of a cross-disciplinary European research community, aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society.
Pushing the FAIR and FACT principles further, SoBigData++ render social mining experiments more easily designed, adjusted and repeatable by domain experts that are not data scientists.
SoBigData++ advances from the awareness of ethical and legal challenges to concrete tools that operationalise ethics with value-sensitive design, incorporating values and norms for privacy protection, fairness, transparency and pluralism.
SoBigData++ has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No. 871042
https://plusplus.sobigdata.eu/
Project period: 15.08.2019 – 14.08.2022
The Marie Curie Innovative Training Network entitled “Machine Learning Frontiers in Precision Medicine” brings together leading European research institutes in machine learning and statistical genetics, both from the private and public sector, to train 14 early stage researchers. These scientists will apply machine learning methods to health data. The goal is to reveal new insights into disease mechanisms and therapy outcomes and to exploit the findings for precision medicine, which hopes to offer personalized preventive care and therapy selection for each patient.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 813533.
https://mlfpm.eu/
Project period: 19.12.2018 – 31.12.2024
STACC OÜ is a positively evaluated research and development institution, whose research and development activities are funded from the state budget (base funding).
Project period: 01.09.2015 – 31.12.2023
Project number: EU48684
Funding: 6 996 502 EUR (co-funded: European Regional Development Fund)
Description of the project: The vision of the Software Technology and Applications Competence Centre (STACC) is to become a leading R&D organisation where companies and public sector agencies can access expertise in (big) data analytics and codevelop visionary technology product. STACC’s main business is providing data analytics and data privacy protection services to help companies to bring high-quality services faster to the market. STACC has four strategic development areas: 1) Data Analytics for Software and Systems Optimization, 2) SpatioTemporal Data Analytics, 3) Big Data and Security, and 4) EHealth and Personalised Medicine. STACC strongly contributes to Estonian IT education and enhances research partners’ capacity in the field of data analytics and its applications.
Objective: The main objective of the Project is to turn STACC into a leading and economically independent R&D organisation where companies can access expertise in data analytics and codevelop visionary technology products.
Outcome:
1. Estonia has a world-class technology competence centre with a substantial expertise in data analytics that support Estonian ICT sector
2. STACC helps 23+ companies to bring their scalable technology products faster to global market in the frames of the CC Program and helps more than 50 companies by providing services commercially in the field of data analytics
3. Ratio of sales generated from new products for partner enterprises rises 41%, their R&D costs increase in average 4% and added value per employee 12,5% per year
4. STACC strongly contributes to Estonian IT education and enhances research partners’ capacity in the field of data analytics and its applications.
Project period: 01.07.2009 – 31.08.2015
Project number: EU30015
Description of the project: The aim of the project is to help companies bring to the market new or improved products with the help of scientists through collaborative R&D projects.
Project period: 01.09.2013 – 30.06.2015
Project number: EU46295
Description of the project: Enterprise Estonia supports the inclusion of the development manager in STACC . The aim of the development manager is to help STACC to involve into a self sustainable competence center. The activities include the improvement of the organizational structure, starting of additional research project and development of own products and services. The project is co-funded by European Social Fund (ESF).
Project period: 01.09.2019 – 31.12.2022
Project number: EU53302
Description of the project: the main objective of the project is to ensure the implementation of all activities in 2019-2022 supporting the transformation of STACC into a sustainable R&D service provider.