AI for Public Good Lot 1 (Health: Innovative AI-based cancer imaging solutions for breast and prostate diagnosis) and Lot 2 (Energy: Innovative AI-based solutions for electric grid optimization)

The European Commission has launched a call for tenders titled "AI for Public Good," identified as EC-CNECT2024/OP/0094. This initiative is structured into two distinct lots, targeting the health sector and energy sector, with total funding amounting to €5,400,000. Lot 1 is valued at €2,400,000 and focuses on innovative AI-powered solutions for cancer imaging, specifically for breast and prostate cancer diagnosis. Lot 2, valued at €3,000,000, pertains to developing AI solutions for the optimization of electric grids, emphasizing the integration of renewable energy sources.

The call aims to support projects that benefit the EU as well as wider communities, including third countries. Eligible applicants include a broad range of entities such as large enterprises, small and medium-sized enterprises (SMEs), universities, and research institutes. Although the "smeSuitableIndicator" for both lots is marked false, SMEs are not explicitly excluded, allowing for participation from various types of organizations capable of delivering the necessary services. The procurement is strictly for services, meaning selected tenderers will receive monetary compensation in exchange for their solutions.

The submission process is an open call requiring electronic submissions via the designated Funding and Tenders Portal. The deadline for submitting tenders is set for September 29, 2025. Each project is expected to span a maximum duration of 24 months and evaluation will be based on a quality and price methodology, with 60% of the weighting given to quality and 40% to pricing.

There are no explicit consortium requirements, allowing single entities to apply independently. Geographic eligibility typically encompasses entities from EU member states, countries in the European Economic Area, and possibly other international applicants depending on agreements. The projects are currently in the development and validation stage, focusing on practical applications of AI technologies.

While specific countries are not mentioned, the initiative aims to foster collaboration and practical applications within a global context. However, no co-funding or detailed success rates are provided. This procurement opportunity highlights the European Commission's commitment to leveraging artificial intelligence to address societal challenges and innovate across key sectors such as health and energy. Interested organizations must adhere to submission guidelines and requirements, including obtaining a Personal Identification Code (PIC) for participation.

The European Commission, DG CNECT - Communications Networks, Content and Technology, has published a call for tenders EC-CNECT2024OP0094, titled "AI for Public Good" with two lots: Lot 1 focuses on Health: Innovative AI-based cancer imaging solutions for breast and prostate diagnosis, and Lot 2 focuses on Energy: Innovative AI-based solutions for electric grid optimization. The TED reference for this call is 140/2025 484917-2025.

The overall purpose of this call is to support EU activities within the EU-US scientific collaboration, aiming to develop and test AI-based solutions that benefit both the EU and the US, as well as wider communities and third countries.

The procedure type is an open procedure, and submissions must be sent electronically. The estimated total value for both lots is 5,400,000 EUR. The TED publication date is 24/07/2025. The main classification (CPV) code is 73000000 - Research and development services and related consultancy services.

Lot 1: AI for Public Good (Health): Innovative AI-powered cancer imaging solutions for breast and prostate diagnosis. The estimated value for Lot 1 is 2,400,000 EUR. The purpose is to develop and test AI-powered solutions for the benefit of the EU as well as wider communities and third countries. This lot will explore and demonstrate how AI-powered solutions applied to EU cancer imaging data can be further fine-tuned and applied in other locations and settings covering a large variety of populations, without transferring the underlying sensitive health data. It has two predefined use-cases: breast cancer and prostate cancer. The nature of the contract is for services, with a maximum contract duration of 24 months. The award method is based on the best price-quality ratio.

Lot 2: AI for Public Good (Energy): Innovative AI-powered solutions for electric grid optimisation. The estimated value for Lot 2 is 3,000,000 EUR. This lot will support the European Commission in exploring and demonstrating the application of AI-powered solutions to effectively tackle challenges within energy systems, specifically focusing on the seamless integration of renewable energy sources (RES) capacity across diverse energy system levels. The nature of the contract is for services, with a maximum contract duration of 24 months. The award method is based on the best price-quality ratio.

Key Milestones:
TED publication date: 24/07/2025
Date and time of public opening: 30/09/2025 10:00 Europe/Brussels
Deadline for receipt of tenders: 29/09/2025 16:00 Europe/Brussels
Contracting authority is not bound to reply to questions submitted after: 19/09/2025 05:00 Europe/Brussels

Available Documents:
Invitation to tender EC-CNECT2024OP0094 AI for Public Good Lots 1 and 2 Invitation letter (Published on 24/07/2025, Version 1, All lots, No translations available)
Tender Specifications EC-CNECT2024OP0094 AI for Public Good Lots 1 and 2 Tender specifications (Published on 24/07/2025, Version 1, All lots, No translations available)
Annex 2 Declaration on honour - AI for Public Good Lots 1 and 2 EC-CNECT2024OP0094 Declaration on honour (tender) (Published on 24/07/2025, Version 1, All lots, No translations available)
Annex 6 Financial Form Financial offer form (Published on 24/07/2025, Version 1, All lots, No translations available)
Tender Specifications Annexes Tender specifications (Published on 24/07/2025, Version 1, All lots, No translations available)
L1 Draft Contract CNECT2024OP0094 Health Draft contract (Published on 24/07/2025, Version 1, Lot 1, No translations available)
L2 Draft Contract CNECT2024OP0094 Energy Draft contract (Published on 24/07/2025, Version 1, Lot 2, No translations available)
Appendix 1 - Security requirements EN 2025 Draft contract annex (Published on 24/07/2025, Version 1, All lots, No translations available)

Submission Terms:
Submissions must be sent exclusively at the address for submission given. The submission method is electronic.

FAQ Regarding eSubmission:
The system supports the latest versions of Google Chrome or Mozilla Firefox.
Attachments should be less than 50 MB in size.
The maximum number of attachments allowed per tender is 200 files.
A Personal Identification Code (PIC) is mandatory to participate.
The system supports all 24 official EU languages and uses UTF-8 character set encoding.
The system encrypts all uploaded documents.
Until the submission deadline, draft submissions can be edited, viewed, and deleted.

In summary, this call for tenders, EC-CNECT2024OP0094, focuses on leveraging Artificial Intelligence for the Public Good, specifically in the areas of health (cancer imaging) and energy (electric grid optimization). It is part of an EU-US scientific collaboration. The call is divided into two lots, each with a distinct focus and budget. Lot 1 aims to develop AI solutions for cancer imaging, particularly for breast and prostate cancer, while Lot 2 seeks to apply AI to optimize electric grids and integrate renewable energy sources. The call is open for electronic submissions, and interested parties must submit their tenders by 29/09/2025. The tender documents provide detailed specifications, contractual terms, and security requirements. A PIC code is mandatory for participation. The European Commission encourages interested parties to review the documentation and submit their proposals electronically through the designated portal.

Eligible Applicant Types: The provided text does not explicitly define eligible applicant types. However, given that this is a call for tenders, it is likely open to a range of organizations including companies (SMEs and large enterprises), research institutions, and other entities capable of providing the required services. A Personal Identification Code (PIC) is mandatory to participate in a call for tenders as a sole candidate/tenderer or as a member of a group (consortium).

Funding Type: Procurement. This is indicated by the repeated mention of "call for tenders" and "tender specifications," as well as the reference to "draft contract." The nature of the contract is services.

Consortium Requirement: The text mentions that a Personal Identification Code (PIC) is mandatory to participate in a call for tenders as a sole candidate/tenderer or as a member of a group (consortium). This suggests that both single applicants and consortia are eligible.

Beneficiary Scope (Geographic Eligibility): The call is intended to benefit the EU as well as wider communities and third countries. This suggests that applicants from the EU and potentially other countries are eligible, as long as the project benefits the EU.

Target Sector: This program targets two main sectors: health (specifically cancer imaging) and energy (specifically electric grid optimization). The thematic focus is on the application of Artificial Intelligence (AI) within these sectors. Therefore, the target sectors are health, energy, and artificial intelligence.

Mentioned Countries: The European Union (EU) and the United States (US) are explicitly mentioned due to the EU-US scientific collaboration. The call also mentions "third countries," indicating a broader international scope.

Project Stage: The project stage is development and testing of AI-based solutions. The call aims to "develop and test AI-powered solutions," indicating a stage beyond basic research and into practical application and validation.

Funding Amount: The estimated total value for both lots is 5,400,000 EUR. Lot 1 (Health) has an estimated value of 2,400,000 EUR, and Lot 2 (Energy) has an estimated value of 3,000,000 EUR.

Application Type: Open call. The text specifies "Open procedure" and "Open For Submission," indicating an open call for tenders.

Nature of Support: Beneficiaries will receive money in exchange for services. The call is a procurement contract for services, implying that successful tenderers will be paid for delivering the specified services.

Application Stages: The provided text does not explicitly detail the number of application stages. However, as a procurement process, it would typically involve at least two stages: submission of the tender and evaluation of the tender.

Success Rates: The provided text does not include information about success rates.

Co-funding Requirement: The provided text does not explicitly state whether co-funding is required.

Summary:

This is a call for tenders (EC-CNECT2024OP0094) issued by the European Commission, DG CNECT, focusing on "AI for Public Good." The call is divided into two lots: Lot 1 targets innovative AI-powered cancer imaging solutions for breast and prostate diagnosis, and Lot 2 focuses on innovative AI-based solutions for electric grid optimization, particularly the integration of renewable energy sources. The total estimated value of the call is 5,400,000 EUR, with Lot 1 valued at 2,400,000 EUR and Lot 2 at 3,000,000 EUR.

The call aims to develop and test AI-based solutions that benefit the EU, wider communities, and third countries, stemming from an EU-US scientific collaboration. It is an open procedure, meaning any eligible organization can submit a tender. Submissions must be electronic. The deadline for receipt of tenders is 29/09/2025 at 16:00 Europe/Brussels. The maximum contract duration is 24 months.

To participate, organizations need a Personal Identification Code (PIC). The eSubmission system supports various file types and has specific requirements for attachment naming and file sizes (less than 50 MB). The system also supports all 24 official EU languages and uses encryption to ensure data integrity and confidentiality.

The call seeks to procure services related to the development and testing of AI solutions in health and energy sectors, with a focus on practical application and validation. The award method is based on the best price-quality ratio.