Open Call #2

This call is CLOSED

Attractive funding for your next product & service development

  • Data Collection
  • Creation of insights
  • Decision support
  • Automation

Read the Guidelines for Applicants first.

Deadlines

15 May 2026

Opening

15 July 2026

Submission deadline (17:00 CEST)

What we offer

Benefits for SMEs/start-ups

Open Call Challenges

Combined AI and Data solutions for DATA COLLECTION

1.1 - Augmented sensing solution

The selected third party is expected to contribute to (one of) the following points (in applying to this challenge, please specify which point you would like to focus on):

  • Collaboration with Arçelik to develop an augmented sensing solution for its refrigerator production facility. The solution will enable accurate monitoring of forces, stresses, or other relevant physical quantities during plastic mold changes in the refrigerator production line. It will provide real-time feedback and predictive insights to reduce manual intervention and iterative adjustments during mold changes, minimize polyurethane waste, and reduce facility downtime. 
  • Collaboration with KU Leuven to develop and test augmented sensing solutions, specifically for mecha(tro)nic system level dynamics, and model-based augmented sensing in electro-thermo-mechanical applications in the manufacturing industry. The focus will be on the technological development of the augmented sensing solution (e.g., targeting force, stress, and torque estimation), with the availability of several industrially relevant laboratory setups and measurement equipment.

Combined AI and Data solutions for creation of INSIGHTS

2.1 - Product-production Digital Twins

The selected third party is expected to contribute to (one of) the following points (in applying to this challenge, please specify which point you would like to focus on):

  • Collaboration with Arçelik to develop a product-production digital twin solution to optimise material mixing ratios based on real-time measurement of visual and mechanical properties of the different plastic source materials (virgin and recycled plastic)
  • Collaboration with Arçelik to combine augmented sensing (cf. challenge 1.1) with a product-production digital twin solution to optimise End-of-Life product refurbishment processes by assessing the health and predicting the remaining lifespan of components
  • Collaboration with KU Leuven to link the manufacturing process to product quality in mecha(tro)nic applications. The focus will be on the technological development of a dedicated product-production simulation framework for injection moulding manufacturing processes, with the availability of a fully equipped injection moulding laboratory facility.

The selected third party is expected to contribute by providing:

  • Product-production digital twin solution to optimise material mixing ratios based on real-time measurement of visual and mechanical properties of the different plastic source materials.

The selected third party is expected to contribute by providing:

  • Develop an optimization algorithm for optimal sizing of a microgrid components using a microgrid Digital Twin

  • Develop a microgrid grid energy control algorithms using predictions of energy needs and production

  • Implement and test the developed solutions in a digital environment with real world data and for different scenarios

Combined AI and Data solutions for DECISION SUPPORT

3.2 – Automated machine selection for parts production

The selected third party is expected to contribute by providing:

  • Develop a solution that uses historical demand patterns and future demands to build more robust, flexible, and data-driven planning strategies.

  • The tool developed through this challenge will analyze customer demand trends over time to uncover patterns and enable the grouping and classification of customers based on their demand characteristics.

Combined AI and Data solutions for AUTOMATION

4.1- Smart energy management of unplanned machine downtime

The selected third party is expected to contribute by providing:

  • Develop a smart energy management strategy and algorithm based on the energy consumption models of the machine modes

  • Develop a module for monitoring and management of high energy intensive machines

  • Demonstration of the prototype on the industrial setup

The selected third party is expected to contribute by providing:

  • Battery Assessment: Evaluation of battery performance, capacity, and overall condition.

  • Safety Measures for Battery Handling: Protocols and best practices to ensure safe handling, storage, and transportation of batteries.

  • Battery Defect Detection: Identification of manufacturing or operational defects in batteries using diagnostic tools and inspection methods.

  • Battery Health Monitoring: Assessment of battery state-of-health (SoH) using sensors and diagnostic data (e.g., temperature, voltage, internal resistance).

  • Battery Charging and Discharging Methods: Procedures and technologies for safe and efficient charging and discharging of batteries.

  • Decision-Making for Second Life, Reuse, or Recycling: Criteria and processes for determining whether a battery should be reused, repurposed for second-life applications, or sent for recycling.

The selected third party is expected to contribute by providing:

  • Develop a co-bot-assisted gasket installation solution

  • Integrate AI-based perception and control systems to allow the co-bot to adapt to different gasket shapes and models.

  • Ensure compliance with safety and ergonomic standards, by reducing physical strain on human workers and improving workplace safety with co-bot working.

  • Demonstrate human-robot collaboration capabilities, where the co-bot supports rather than replaces the human operator, ensuring intuitive interaction and task sharing.

How to apply

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Submit your application via F6S platform

Who can apply

  • Industry organisations providing the SMEs / Start-ups use-cases and high-TRL playgrounds for solution testing and validation
  • Integrators / engineering services providers that support the SMEs / Start-Ups in integration of the solutions
  • Research institutions, research infrastructures, non-profit organisations and charitable (scientific) foundations and public research centers

NOTE: Please read carefully the Guidelines for Applicants.

Open Call Evaluation Criteria

Each criteria has a different weight, presented below:

1

Novelty/ Innovation (30%)

2

Impact (30%)

3

Project planning (20%)

4

Expertise (20%)

Timeline

Frequently Asked Questions

General programme overview

What is the AID4SME project?

AID4SME is a European project under the Horizon Europe Programme (HORIZON-CL4-2024-DIGITALEMERGING-01) – Grant Agreement no. 101189562. The 36-month project kicked off in December 2024 and counts 16 partners from multiple sectors and European countries. It aims to facilitate Small and Medium-sized Enterprises (SMEs) in developing combined Artificial Intelligence (AI) and data solutions for large-scale resource optimization challenges for industries that have significant impact on the objectives of the Green Deal.

The Open Call is the competitive process by which eligible applicants apply to have access to the AID4SME programme. The programme will select up to 12 innovative applications, each addressing one of the challenges/topics, providing a maximum contribution of EUR 200,000.00. The indicative budget for AID4SME – Open Call #2 is EUR 2,350,000.00.

The deadline for the AID4SME Open Call #2 is Wednesday, 15 July 2026 at 17:00 Brussels time.

The program will have an indicative duration of 14 months, starting on 01 November 2026, divided into four stages:

  • Stage 1 – Plan (M1): Beneficiaries fine-tune the action plan with mentors and playground owners.
  • Stage 2 – Development (M2 to M8): Beneficiaries develop solutions and integrate them at playground sites.
  • Stage 3 – Testing & Validation (M9 to M10): Solutions are tested, validated, and demonstrated.
  • Stage 4 – Solution Assessment & Business Plan (M11 to M14): Beneficiaries assess the solution and develop an exploitation roadmap.

Selected projects will receive the following support services from the consortium:

  • Technical support and expertise in engineering integration, testing, and validation.
  • Access to scientific partners’ low-TRL testing facilities.
  • Technical/business support and access to large industrial partners’ high-TRL playgrounds.
  • Business support, mentoring for business plans, and access to connected industry and DIH networks to increase market reach.

Yes, each proposal description must include three mandatory reports:

  1. Month 4: Intellectual Property Agreement established with playground owners.
  2. Month 10: Test & Validation Report.
  3. Month 14: Business plan and exploitation roadmap.

Eligibility & consortium rules

Who is eligible to apply for financial support?

Only Start-ups, and Micro, small, and medium-sized enterprises (SMEs) working on related technologies are eligible to receive financial support.

Yes. Eligible applicants may apply as a single entity or within a consortium of up to 2 entities.

Yes. Industry organizations, integrators/engineering services, research institutions, non-profits, and public research centers may participate as part of a consortium led by an SME/startup, but without requesting financial support.

No. Only Horizon Europe associated countries are eligible. At the time of signing the AID4SME Grant Agreement (November 2024), Switzerland had not yet signed an association agreement producing legal effects.

Yes. Entities from the United Kingdom meeting the criteria are eligible to submit applications under the reference guidelines (v3.1).

Yes. Under the Horizon Europe guidelines (v3.1), Canada is an associated country for Pillar II actions, making Canadian startups and SMEs fully eligible. While an EU VAT number is mandatory for EU-based entities, non-EU applicants from associated countries like Canada must provide their official national registration equivalent.

No. Legal entities, including startups and SMEs established in Egypt, are not eligible as Egypt is not officially listed as an associated country under the reference guidelines (v3.1).

Yes. Ukrainian individual entrepreneurs (FOPs) are eligible if officially registered and operating under national regulations. The “valid VAT” requirement applies strictly to EU entities; applicants based outside the EU do not need formal VAT payer status if it isn’t mandatory under local law, but must provide their equivalent national tax identification data instead.

Yes, provided both entities independently qualify under the official EU SME definition.

No. An entity can only be identified as either a technology provider or an integrator, possessing a single, clear role aligned with the submitted proposal.

According to the European Commission’s official definition, a self-employed individual or natural person engaged in an economic activity is considered an eligible SME, provided you are legally registered as self-employed at the time of the submission deadline. Therefore, you are eligible to apply under your current self-employed status.

If your project receives a positive funding decision, it is possible to transfer the role of Lead Beneficiary, provided the new company also fully meets the official SME eligibility and legal registration criteria at the time of the transfer.

Budget, costs & financial models

What is the maximum contribution a project may request?

The maximum contribution is EUR 200,000.00 per project, which must represent 70% (funding rate) of the total project costs. This cap applies equally to single applicants and consortia.

No. The financial support awarded under this call is not considered State Aid. Consequently, these grants do not count toward your company’s de minimis caps and will not impact eligibility for future funding based on those limits.

Payments are distributed across three periods tied to sprint completion:

  • Period 1 (M1): 30% of the grant (10% covers M1 work; 90% is a pre-financing payment belonging to the consortium until final payment).
  • Period 2 (M8): 40% of the grant.
  • Period 3 (M14): 30% of the grant.

Eligible categories include personnel costs, purchase costs (travel and subsistence, equipment depreciation only, and other direct costs), and indirect costs (calculated as 25% of personnel and purchase costs).

No, subcontracting is strictly prohibited. Applicants must prove they have the internal staff and resources to complete the project in-house.

For direct equipment purchases, you must include only the depreciation costs corresponding to the project implementation period, not the full purchase cost.

Applicants must apply their national accounting rules and their company’s standard internal cost accounting practices to determine the depreciation/amortization rate and method for these assets.

However, if your national regulations and your company policy allow lower-value assets to be expensed immediately rather than capitalised and depreciated over multiple years, you can budget their full purchase cost. This applies provided they are bought during the project period and used exclusively for the execution of the project tasks.

Yes. Alternative methods of utilizing assets, such as renting or leasing, are eligible provided they are explicitly listed under the “Equipment” category in your budget with a clear justification.

Because this program operates on a lump-sum model, individual salary stubs or owner-manager hourly calculations are not broken down in the application. In the proposal stage, you only need to indicate the total number of Person-Months (PMs), the overall budget allocated to personnel, and the corresponding PM rates.

The proposed budget is assessed on a 70% + 30% basis. The remaining 30% is the applicant’s own contribution and can be covered through internal resources like personnel time and in-house effort, provided the budget remains consistent with the activities.

Under the Lump Sum model used for this call, financial reporting does not require the submission of individual timesheets, payroll records, or employment contracts. Instead, funding is unlocked based on the successful achievement and approval of the agreed project milestones and deliverables.

However, at the application stage, all participants must clearly define and justify their budget structure in the proposal. This includes explicitly indicating the total amount allocated to personnel costs, the total number of Person-Months (PMs), and the corresponding PM rates. These figures will form the basis of the lump-sum evaluation.

Yes, this is generally possible. You can combine AID4SME funding with other national programs like EXIST, provided there is strict compliance with the non-cumulative principle (absolutely no double funding for the exact same personnel, cost categories, or work packages).

Application submission & evaluation

Can an entity submit more than one proposal?

No. The open call accepts a maximum of 1 application per eligible entity, whether applying alone or in a consortium. (Exception: research institutions, non-profits, and public research centers may integrate into more than 1 proposal) . If an entity submits multiple applications, only the one submitted last will be evaluated.

You can request an application resubmission by emailing support@f6s.com at least two business days before the deadline. Note that the PIC number is optional during the initial application phase.

No. To ensure a fair, transparent, and equal evaluation, direct or private communication with challenge owners or consortium partners is strictly prohibited prior to the deadline. All queries must be sent to aid4sme_ocs_helpdesk@f6s.com.

No. The formal “In/Out of Scope” verification is exclusively performed after the submission deadline. Applicants must self-assess alignment using the official challenge documents.

The remote selection process consists of four phases:

  1. Eligibility check to verify administrative criteria.
  2. In/out challenge scope check to assess alignment with the selected challenge.
  3. External expert evaluation where each proposal is scored by two external evaluators.
  4. Online interview conducted with the top 3 proposals per challenge.

The evaluation uses a 0 to 5 scoring system (Fail to Excellent). The phases use different criteria weights:

  • Expert Evaluation Phase: Novelty & Innovation (30%), Impact (30%), Implementation (20%), Team (20%).
  • Online Interview Phase: Project Concept & Alignment (40%), Team (30%), Exploitation Plan & IPR (30%).

Technical scope & challenges

Which type of challenges have been launched within Open Call #2?

There are 10 predefined challenges split across 4 domains:

  • Domain 1 (Data Collection): C1.1 Augmented sensing solution.
  • Domain 2 (Insights): C2.1 Product-production Digital Twins; C2.2 Automated monitoring hygiene inspection for refurbishment; C2.3 Energy system Digital Twin decision support tool.
  • Domain 3 (Decision Support): C3.2 Automated machine selection for parts production; C3.3 Battery production digital work instructions & skill capturing; C3.4 Automated warehouse and internal logistics management.
  • Domain 4 (Automation): C4.1 Smart energy management of unplanned machine downtime; C4.3 Semi-automated EV battery disassembly for recycling; C4.4 Co-bot refrigerator door assembly solutions.

No. Each entity must submit a proposal that explicitly addresses one of the ten pre-defined challenges.

While projects from other sectors or independent pilots are generally eligible, they cannot operate on isolated setups. The solution must be developed and validated directly within the designated project environments/playgrounds provided by the call (e.g., Arçelik, KU Leuven), and any external use cases/KPIs must be directly comparable to the challenge text.

Yes, provided the software-only solution completely satisfies the specific guidelines and addresses the expected outcomes of the chosen challenge.

You are not required to guarantee direct environmental savings within the project timeline. Your SMART KPIs should focus on the technical performance of your technology, but your proposal must explicitly explain how customers can leverage those capabilities to achieve Green Deal objectives.

This refers to the natural languages supported by the user interface (e.g., English, Spanish) and its administrative planning functionalities, not software coding languages.

There is no mandatory minimum target TRL defined for the low-TRL scientific playgrounds (e.g., KU Leuven). However, applicants must demonstrate a clear and ambitious technological advancement from their current baseline.

Beneficiaries must cover all costs necessary for the development and implementation of their own solution. Host labs or AID4SME partners will not subsidize these expenses.

Yes. Open Call #2 operates completely independently. Up to 12 new projects will be selected based purely on the highest final scores, meaning previously funded challenges face no restrictions in this round.

No. Lower TRL solutions (e.g., TRL 6–7) are fully eligible to apply, but the final project target must always be to advance the solution to TRL 9 by the end of the 14-month project timeline.

Challenge-specific clarifications

In the proposal template, what is meant by the question: “What formal language/planning features does it support?”

This question refers strictly to the natural languages supported by the user interface/solution (e.g., English, Spanish, Portuguese) and its administrative planning functionalities, rather than its technical programming language.

The molds involved are exclusively related to the refrigerator’s outer sheet metal panel. No physical forces, stresses, or torques are monitored; the scope is strictly focused on automated dimensional inspections with an expected measurement resolution at the millimeter level.

Regarding software compatibility, Arçelik uses standard FEA (Finite Element Analysis) programs for their product designs.

Both are valid: follow the precise official challenge document if applying for the Consortium track directly with Arçelik, or utilize the flexibility of the low-TRL playground track if proposing your own custom use case.

No, applicants are not required to address both use cases and can choose to focus their proposal on only one of the two options.

No, entering solutions do not need to be at TRL 9 at the time of submission; lower TRL solutions (e.g., TRL 6–7) are fully eligible provided the project targets advancing to TRL 9 by the end of the 14-month timeline.

LEITAT’s Hyperspectral Imaging (HSI) and Infrared Thermography (IRT) systems are strictly laboratory-bound and can only be operated within their own research facilities for low-TRL proof-of-concept work. They will not be transferred or made available for external use or industrial validation activities at Arçelik’s installations. However, LEITAT can perform the necessary measurements internally and provide the selected applicants with the data generated in its laboratories.

Furthermore, Arçelik will not provide any pre-installed detection systems, optical equipment, or related cameras (such as existing RGB or industrial cameras on the refurbishment line) for applicant reuse. Participating SMEs are expected to fully source, procure, and budget all sensing equipment, cameras, and hardware required to carry out both the development and the industrial validation phases.

Applications utilizing machine vision are not restricted, but all submitted proposals remain subject to the independent post-deadline evaluation to assess their precise alignment with the challenge scope.

The core microgrid Digital Twin is provided by the challenge owners via a REST API, allowing model transparency and custom optimization integrations (like MILP), with flexible UI/UX options and the ability to host the developed tool on the SME’s own servers.

Single applicants are permitted without needing external industrial partners and are fully eligible to validate their proposed solution using the predefined AID4SME simulation playground and available datasets. A commercial track record with TSOs/DSOs is not mandatory (technical/algorithmic expertise is sufficient).

In the context of this challenge, a microgrid means a locally installed set of energy components operating together in a coordinated way to achieve cost-efficient and flexible energy management. This includes distributed energy resources such as local PV generation, electrical storage, thermal storage, controllable conversion assets, heat and electricity demand, and a grid connection. The challenge provides real-life measurements and a Digital Twin of this microgrid setup to be used in the loop to demonstrate your control system.

Consequently, support for both electrical and thermal energy domains is expected. The specific request of the call is to cover sector coupling (both electricity and heat needs), including the interaction between electrical storage, thermal storage, renewable generation, demand, pricing signals, and ancillary-service provision. A solution focused exclusively on electrical assets would not fully address the challenge requirements.

The SME is expected to provide both the hardware and software components required to acquire and process the data, though they are permitted to integrate and use their own hardware alongside the host lab’s on-site equipment.

The Month 4 IP agreement is a specific text defining usage rights and IPR terms with the playground owner; selected SMEs will receive representative data early for model training, and applicants must provide concrete, quantified target values for their KPIs at the proposal stage.

Alternative methods of utilizing assets like renting or leasing are eligible if explicitly listed under the “Equipment” budget category with clear justification, whereas direct equipment purchases can only claim depreciation.

Applicants must provide the AMR, robot, forklift, or related hardware as part of their solution; the “operator” refers to the personnel who interact with, monitor, or supervise these logistics resources.

Industrial humanoid robots are advanced, human-shaped machines specifically engineered for enterprise manufacturing, material handling, and warehousing.

In line with the open call specifications, applicants are required to provide the hardware, which in this specific case includes the Thermal Treatment Unit (TTU) and Air Management System (AMS).

To ensure a fair evaluation, no additional technical specifications beyond the published documentation can be shared during the application phase; if selected, you will have a one-month co-design phase to review on-site controllers and finalize integration interfaces.

Proposals should focus on the specific sub-aspects they can realistically cover in alignment with the challenge KPIs; any free use-case or partner environment must be explicitly added to the application form, but no external evidence (like Letters of Intent) is required at submission.

The existing playground workcell is located on-site in Leuven, Belgium, where final testing and demonstrations will take place. The cell consists of:

  • A welding table and a product clamping system.
  • A power cobot (industrial robot with safe-touch safety features) and corresponding tooling.
  • Two high-resolution beamer projectors.
  • An Arkite operator guidance system and a limited selection of manual smart tooling (both ordered and arriving soon).

Any additional hardware or custom equipment beyond this baseline must be acquired by the participating SME. Applicants are permitted to modify or mount additional equipment (such as custom cameras, sensors, or thermal vision layers) onto the workcell setup. On-site supervision, assistance, and flexible lab access will be coordinated with the selected team for their validation sprints.

Detailed CAD models and specific engineering files are restricted and will only be made available to the selected winner after the sub-grant agreement is signed; the descriptions in the official challenge document are sufficient for your proposal.

Applicants must target a TRL 9 demonstration; a consortium can include two separate funded SMEs if both meet the EU definition, but a single SME cannot take on a dual role (e.g., provider and integrator) within the same proposal.

The applicant must provide all hardware (robot included, preferred brands KUKA/ABB or brands with local support in Türkiye) as a turnkey solution meeting a 20-second cycle time, handle all safety/compliance certifications, and build the vision-based gasket inspection layer for physical installation in Eskişehir, Türkiye.