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EIT Digital Innovation Factory is sponsored by EIT Digital. Focuses on the launch or boost of digital deep-tech ventures. 'Digital Finance' is one of the five core focus areas.
The program provides co-investment and hands-on support to help teams turn research results into commercial fintech products.
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Open Innovation Factory 2024 | EIT Join Open Innovation Factory 2024 to boost your deep tech start-up! The work programme is guided by the five focus areas - Digital Tech, Digital Industry, Digital Cities, Digital Wellbeing and Digital Finance - of the EIT Digital Strategic Innovation Agenda 2022-2024 .
Selected proposals will receive financial support from EIT Digital and be embedded in the pan-European ecosystem of over 350 partners from business and industry, research and academia, investment, and the public sector.
Apply to the EIT Digital Open Innovation Factory and get: EIT Digital financial support (up to EUR 400 000) EIT Digital Speed Master training Access to hundreds of partners from EIT Digital’s innovation ecosystem across Europe, including corporates, public sector, investors and academia Ready to apply? Here’s what you need to know.
All proposals need to be submitted by a team of two to four EIT Digital partners from at least two different eligible European countries. One of the team members must be an early-stage venture with an innovative deeptech product that already has traction. The team must be ready to collaborate intensively for 6 months on a joint plan to boost this innovative product and gain more market traction.
In consideration of the support received by the applicant, an equity granting model is applied whereby EIT Digital will be granted equity in the early-stage venture. The new cut-off specific document will be released in July. Accepted proposals will start their programme activities on the 1 January, 2025 , right after the results of the selection process are published.
Open Innovation Factory 2024 You may also be interested in EIT Digital Advocates for Swift AI Adoption at 2024 Delphi Economic Forum EIT Digital boosts tech education with new partnership! EIT Digital's Venture Incubation Program
Based on current listing details, eligibility includes: Consortia of at least two partners from different EU countries, including at least one EIT Digital partner and one SME. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies by project Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
EIT Digital Open Innovation Factory 2026 is a grant from EIT Digital that funds collaborative innovation projects advancing Europe's digital transformation through open partnerships between industry, academia, and research organizations. The program supports development and deployment of digital technologies — including AI, data, and cybersecurity solutions — aimed at solving key market and societal challenges. Awards are available up to €400,000 per project. Eligible applicants are consortia of at least two partners (SMEs, large enterprises, or research organizations) from at least two different countries in the EU or countries associated with Horizon Europe. The application deadline is May 15, 2026.
EIT Digital Mentor Me Program (Batch 2) is a mentorship and acceleration program from EIT Digital that funds early-stage European tech startups through expert guidance and network access. Delivered by 28DIGITAL, the program supports angel or pre-seed stage startups with a working prototype or MVP that are planning a funding round. Participants receive tailored mentorship from experienced startup operators, investor introductions across Europe, workshops on strategy and pitching, and ongoing coaching. Program participation requires either a €33,000 fee or a 3% equity stake. Applicants must be English-speaking and available for at least four months. Eligible startups must be based in Europe. The deadline for Batch 2 is May 20, 2026.
Digital Health (DH) - Small Business Innovation Research (SBIR) Program is sponsored by National Science Foundation (NSF). The Digital Health topic supports early-stage startups developing innovative technologies to improve physical or mental well-being, increase independence, and enhance healthcare delivery by improving efficiency, reducing costs, or improving outcomes. This includes technologies applying AI in healthcare, personalized medicine, EHR/EMR, clinical decision support, and smart medical devices.
The FDT-BioTech program is a joint NSF NIH and FDA initiative that catalyzes biomedical technological innovation through foundational development of methods and algorithms relevant to digital twins and synthetic humans. The program supports inherently interdisciplinary research projects that underpin the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare applications with a particular focus on digital in silico models used in the evaluation of medical devices and to advance regulatory sciences. Priority research areas include computational representations of physiological systems verification validation and uncertainty quantification transferability and generalizability across populations ethics security and privacy considerations and validation mechanisms for digital twin models. The program incorporates AI and machine learning as key enabling technologies for creating responsive digital twin models. All proposals must address regulatory science benefits and ethical implications. This program is distinct from the NSF SCH Smart Health program which focuses broadly on AI for health research and from ARPA-H programs which target specific clinical applications.