VentureNet

AI-Mind: Artificial Intelligence for Dementia Prevention
2021-03-01 08:00 - 2026-02-28 17:00 (Europe/Oslo)
(PROJECT)

Accelopment Schweiz AG. “AI-Mind”. Accessed 13.08.2025. https://www.ai-mind.eu.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964220. This website reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.

What is the challenge?

There are over 50 million people worldwide living with dementia and by 2030 this number is expected to reach 82 million.

The ageing brain becomes vulnerable to decline and keeping independency in daily life can become a challenge for the elderly. People with Mild Cognitive Impairment (MCI), an intermediate condition between normal brain ageing and dementia, may develop dementia in the future.

There is an urgent need for early risk assessment and intervention. Current practices with time-consuming patient investigations focus on late symptoms management due to a lack of diagnostic tools. This causes numerous implications in terms of familial, medical and care costs.

With AI-Mind we aim to reduce the disease’s burden by developing novel, AI-based tools to support healthcare professionals in their diagnosis and offering timely interventions to patients.

At the heart of AI-Mind is our research study, that

Takes place in Norway, Finland, Italy and Spain and will involve 1,000 participants.

Helps to develop and validate artificial intelligence (AI) based tools to predict who is likely to develop dementia.

The AI-Mind project aims to ease the burden of dementia by creating innovative, AI-driven tools that assist healthcare professionals in predicting dementia risks in patients affected by mild cognitive impairment (MCI). Most dementia treatments focus on managing symptoms once they appear, leaving little room for early prevention. AI-Mind seeks to transform this process by replacing complex and inefficient screening methods with advanced, automated tools powered by AI. These tools will address the critical need for early and precise diagnosis, allowing doctors to identify patients at high risk of developing dementia with greater confidence.

VentureNet: Reducing barriers to innovation and business development through secure data exchange
2022-09-01 08:00 - 2023-09-30 08:00
(PROJECT)

The VentureNet data exchange project was a research project completed in 2023 in collaboration with SINTEF and the Norwegian Centre for Research and Innovation in Cybersecurity in Critical Sectors (SFI NORCICS) based at the Norwegian University of Science and Technology (NTNU). The project received co-financing from the Research Council of Norway and Innlandet County through the FORREGION program.

Background

A major EU industrial research project on data harmonization, euBusinessGraph, identified major challenges with access to business data, citing that “it is extremely expensive, time consuming and error prone to find, interpret and reconcile”, especially across industries, geographic regions and languages.

Machine learning (ML) plays an important role in automating data processing tasks such as natural language processing (NLP), but human input is needed to train ML algorithms and thereby improve the accuracy of ML models. One of the challenges identified by data scientists is a lack of machine learning models with humans-in-the-loop (HITL). 80% of the cost of Big Data and Artificial Intelligence (AI) projects is time spent by data scientists finding, interpreting and harmonizing data. A lack of HITL limits the effectiveness of ML models and their potential to reduce cost in Big Data and AI projects.

VentureNet aims to create a virtual business accelerator hub powered by its proprietary Information Management System (IMS), which centralizes access to multiple digital ecosystems, facilitating data exchange and reducing manual data entry. Developed in collaboration with SINTEF and NTNU, the project focuses on creating a secure data exchange framework with Human-in-the-Loop (HITL) capabilities that can be scaled up in European data markets.

Project Results

The project delivered a report introducing a novel framework and new technical solution for data exchange that will facilitate dynamic harmonization and enrichment of business data with HITL ML models. The envisioned solution is a digital B2B workspace and marketplace that will automate data management tasks and processes and facilitate involvement of non-technical data providers (small businesses) in data enrichment with HITL models.

SINTEF compared VentureNet’s IMS to leading low-code platforms and AI solutions, such as Oracle APEX, AWS Amplify, Open AI GPT, Sheet GPT, and Google Natural Language API and concluded the following:

We compared VentureNet against a few low-code/no-code platforms. Low-code/no-code platforms significantly accelerate software development by simplifying and automating code generation, making it possible for non-developers to create applications, thereby democratizing development and reducing the technical skill barrier. However, these platforms can limit customization capabilities, restrict advanced functionality, and lead to vendor lock-in situations, potentially impeding scalability, and long-term growth for more complex or unique business requirements.

Potential for higher accuracy and filtering of hallucinations, using HITL, especially in sensitive domains, such as healthcare.

The principal advantage of the VentureNet platform lies in its comprehensive integration capabilities. It can fulfill all project requirements, including form processing, API management, low-code graphical user interface elements, and data enrichment. Unlike other generic platforms, VentureNet enables the development of highly customized solutions tailored to specific project needs.

Although it is possible to assemble similar platforms using excellent off-the-shelf tools, coordinating, and integrating these disparate components requires significant time and effort. Additionally, the complexities associated with billing processes can often pose substantial challenges. VentureNet solves these concerns by offering a unique solution that simplifies project management and reduces operational overhead. This approach ensures a streamlined workflow and efficient project execution.

Contact VentureNet to learn more about the project results and collaboration opportunities.

EBRAINS: A Research Infrastructure to Advance Neuroscience and Brain Health
2022-09-01 08:00 - 2026-12-31 17:00
(PROJECT)

EBRAINS. “EBRAINS.” Accessed 13.08.2025. https://www.ebrains.eu.

EBRAINS is an international non-profit association (AISBL), headquartered in Brussels, Belgium. It is made up of 8 Full Members and 35 Associate Members. The Research Infrastructure is organised around a central hub that coordinates a pan-European network of services delivered through National Nodes. EBRAINS is governed by three bodies, the General Assembly, the Governing Board and the Management Board. A National Node Board gathers Node representatives. EBRAINS also has two Advisory Committees, the Science and Technology one and the Ethics and Society one which will soon be instated. EBRAINS is funded by the Horizon Europe Framework Programme.

A state-of-the-art ecosystem for neuroscience

EBRAINS is on a mission to revolutionise how neuroscience is conducted. The digital ecosystem that we provide enables advances in brain research that translate to innovations in neuroscience, healthcare and technology.

Towards a European Brain Partnership to accelerate scientific, technological, and societal needs.

EBRAINS’ ambition is to enable breakthroughs in different areas of brain science. We are proud to be part of several game-changing projects and initiatives, in which we join forces with leading institutions to achieve tangible results and outcomes. If you’re interested in working with us on specific projects, different possibilities exist. Don’t hesitate to contact us for more information.

EBRAINS is organised around a central hub that coordinates a pan-European network of services that are delivered through national nodes.

enRichMyData
2022-10-21 08:00 - 2025-09-30 17:00
(PROJECT)

enRichMyData. “enRichMyData.” Accessed 13.08.2025. https://enrichmydata.eu.

enRichMyData develops a novel paradigm for building rich, high-quality and valuable datasets to feed Big Data Analytics and AI applications. It has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070284.

The enRichMyData project is coordinated by SINTEF (Norway), one of European’s largest independent research organisations. The project partners include companies such as Philips (The Netherlands) and Bosch (Germany), dedicated to engineering and manufacturing; Speed Network (Estonia), a provider of procurement data; JOT Internet Media (Spain), a digital marketing company; CS Group (Romania), a software service company; Expert AI (Italy), a technology company specializing in natural language understanding; and Ontotext (Bulgaria), a semantic technology company. They will have the full support of the research partners that, in addition to SINTEF, include the University of Milano Bicocca (Italy), Jozef Stefan Institute (Slovenia), University of Copenhagen (Denmark), GATE Institute (Bulgaria), and BGRIMM Technology Group (China).

enRichMyData delivers an open software toolbox – the enRichMyData toolbox – comprising practical, robust and scalable components to support organizations in enriching their data with reference data they may have limited knowledge of, as well as supporting data providers in making their data reusable and available in data enrichment processes.

The toolbox lowers the technological entry barriers by providing support for the definition of highly scalable and replicable data enrichment pipelines through a set of tools and infrastructure services related to capabilities needed during the lifecycle of enrichment pipelines. The toolbox makes the data enrichment process accessible to a broader set of stakeholders by reducing the required expertise and enhancing the tool support level.

Empower AI-driven business products and services

h-quality, rich and meaningful data are crucial to successfully implementing Artificial Intelligence (AI) and Big Data Analytics (BDA) solutions. Delivering required data to feed into AI and BDA models is costly, difficult, and often limited in data and skill availability. It is well known that up to 80% of the effort spent in AI and BDA projects is dedicated to ensuring data is fit for purpose. Activities are required to discover, understand, select, clean, transform, and integrate data from a variety of sources in such a way that data can be fed into the modelling phase. Such activities result in enriched data, eventually improving the quality of downstream BDA and AI applications. The data enrichment process is implemented by specifying, deploying, and executing data enrichment pipelines over data that can be structured, semi-structured and unstructured, in large amounts, and from static or streaming sources. While techniques exist to cover different enrichment operations such as data cleaning, linking, feature extraction, classification and semantic annotation, etc., the lack of comprehensive approaches and established tools dedicated to data enrichment makes the definition, implementation, and operation of enrichment pipelines difficult for too many organizations willing to improve their BDA and AI applications.

The overall vision of the enRichMyData project is to create a novel paradigm for building rich, high-quality, valuable, and FAIR-compliant datasets to feed downstream BDA and AI applications in the context of data-sharing ecosystems, such as data spaces. The paradigm facilitates the specification and execution of data enrichment pipelines, focusing on supporting various data enrichment operations. enRichMyData makes this easily accessible to a wide set of large and small organizations that encounter difficulties in delivering suitable data to feed their BDA and AI solutions due to the lack of usable tools/expertise for the cost-effective management of data enrichment pipelines.

FAME: Federated decentralized trusted dAta Marketplace for Embedded finance
2023-01-01 08:00 - 2025-12-31 17:00
(PROJECT)

FAME. “FAME.” Accessed 13.08.2025. https://www.fame-horizon.eu.

FAME is a joint effort of world-class experts in data management, data technologies, the data economy, and digital finance, aiming to develop and launch to the global market a unique, trustworthy, energy-efficient, and secure federated data marketplace for Embedded Finance (EmFi).

​The FAME project has received funding from the European Union’s Horizon 2023 Research and Innovation Programe under grant agreement nª 101092639. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe. Neither the European Union nor the granting authority can be held responsible for them.

Marketplace

The FAME Federated Data Marketplace for Embedded Finance is a Data Space, according to the definition of the EU, customized for buying and selling federated data assets in the financial sector.

Accessible through a unified entry point, the Marketplace allows for secure data access, sharing, trading and analysis through FAME’s analytical tools for both finance and non-finance organizations, tech and non-tech users, and other end-users.

Why FAME?

Modern data marketplaces are transforming how data assets are shared, traded, and utilized. Recent European initiatives have made significant strides, particularly in enhancing data monetization, regulatory compliance, and secure data exchange. However, existing centralized marketplaces face challenges that limit broader participation and accessibility. Notable limitations include complex data discovery processes, limited transparency in value-based data monetization, and insufficient integration of trusted, energy-efficient analytics. Addressing these gaps can unlock new data-driven applications in sectors like finance, retail, and smart cities, empowering innovative services that seamlessly integrate financial data. That is where FAME comes in.

Establishment of a Virtual Innovation Ecosystem
2023-01-20 08:00 - 2023-12-01 17:00
(PROJECT)

The virtual regional innovation ecosystem project was a business network development initiative in 2023, which was managed by VentureNet AS in collaboration with leading innovation ecosystems in the Inland region of Norway (Klosser Innovation AS, Vaager Innovasjon AS, and Skåppå AS) and the University of Inland Norway. The project received co-financing from Innlandet County.

The project built on results of a previous FORREGION project on regional innovation ecosystems and laid groundwork that contributed to establishment of several projects to develop national and Nordic Innovation Ecosystems with a connections to the Inland Region of Norway and Greater Oslo Region.

Project results

This project created a large national and international partner consortium of innovation actors, business actors, research institutions and universities, which led to the establishment of several project consortia since the start of the project, and which submitted 9 applications for collaborative projects to the Research Council, EU ERDF (Interreg), and EU Horizon in 2023 alone.

In addition, work is underway to establish 6 large coordination and innovation/development projects in consortia consisting of, among others, Klosser Innovasjon, Vaager Innovasjon, Skåppå, Smart Innovation Norway, the Norwegian Agency for Digitalisation (Digdir), NCE Heidner, NCE Manufacturing, NCE Smart Energy Markets, Cluster for Applied AI, Norway Health Tech, Rikshospitalet, University of Oxford, University of Oslo, NTNU NORCICS, SINTEF, Institute of Energy Technology (IFE), Norwegian Computing Centre, Inland University College, Østfold University College, several municipalities, private business actors, and foreign innovation actors.

Results are described further below related to the effects and continuation of the project.

1. Replicable ecosystem collaboration model to build stronger regional ecosystems.

Workshops being planned in 2024 and 2025 with key stakeholders in Innlandet, Oslo, Østfold, Sweden, Spain and Germany to identify/plan key networking events and conferences with stakeholders and sponsors.

Networking events and conferences from June 2024 to interconnect ecosystems, match businesses and investors.

2. Virtual innovation ecosystem with hubs & nodes for regions and strategic industries.

Digital Infrastructure: open to integration with external systems and fully customizable.

Network: 250+ local key stakeholders identified by Siva-incubators; 30+ European regions in partner network.

Hubs: 10 regional hubs (incl. tourism, career hubs), 6 initial industry hubs, 14 hubs for Innlandsporteføljen.

3. Plan for Events, Conference and Projects to interconnect local/regional ecosystems.

Conferences: major European “Smart Impact” conference opportunity in 2025-2026.

4 “Ecosystem” plans (RIV, Interreg, EIE, Hub-Node)to finance workshops, networking events and conferences.

12 R&D plans (IPN, Pilot Helse, RFF, EUH, SFI) with leading R&D institutions in AI and cybersecurity.

Would you like to strengthen the innovation ecosystem in your region?

Contact VentureNet for more information about the project’s results and collaboration opportunities.
