Funding Opportunities for SMEs (June 2021)

SMART4ALL – Pathfinder Application Experiments (PAEs)

SMART4ALL is a H2020 funded project that builds capacity amongst European stakeholders via the development of self-sustained, cross-border experiments that transfer knowledge and technology between academia and industry. It targets Customised Low-Energy Computing (CLEC) for CyberPhysical Systems (CPS) and the Internet of Things (IoT).

1) Knowledge Transfer Experiments (KTE)

Novel types of internship experiments allowing smaller projects, or less mature ideas to be presented, tested and thus potentially find the fertile ground to grow and reveal its product potentials; The KTEs are a short-term (3 months) internship projects between two different entities from two different Countries : one Academic/Industrial partner who acts as Sending Organization and one Academic/Industrial partner who act as Host Organization.

Second Open Call from March 15th until June 15th 2021.

2) Focused Technology Transfer Experiments (FTTEs)

Focusing on one of the four defined underrepresented areas, FTTEs will give the opportunity to form synergies, accelerate product orient projects and offer guidance towards successful commercialisation; It’s a short-term (6-9 months) PAEs between two different entities from two different EU Countries: one Academic and one Industrial or two industrials. Within these type of experiments, one party transfers to the receiving partner a specific Hardware (HW) or Software (SW) technology in order to enable improved product or processes.

Second Open Call from June 15th until September 15th 2021

More information here

DIH² – Technology Transfer Experiment (TTE)

The DIH² goal is to establish a sustainable network of robotics DIHs, endowed with tools and procedures, to facilitate the commercialisation and broad uptake of Agile Production by Manufacturing SMEs/Slightly Bigger Companies through the RAMP B2B Marketplace.

This second Open Call will select 15 consortia to participate in the second batch of this Technology Transfer Program, the main purpose of which is to test the Robotics and Automation MarketPlace (RAMP).

Step 1 – Short Proposal Submission (Open from 1st of April 2021 00:00 CEST to 30th of June 2021 18:00 CEST)

Consortia of Manufacturing Companies and Technology Providers (both of them either SMEs or slightly bigger companies) can apply by submitting a short proposal describing their proposed Technology Transfer Experiment (TTE).

Step 2 – Full Proposal Submission (By invitation only from August to September 2021)

Applicants who pass step 1 will be invited to complement the short proposal with additional more business focus details on the potential impact and implementation of the Technology Transfer experiments. Applicants will have 2 months to complete the full proposal.

Applications must be submitted by a consortium of 2-3 members. Up to 32 consortia at EU level will be selected to participate in the Jury Day and will receive mini-grant in the amount of €3,500. During the Jury Day, up to 15 beneficiaries will be selected as final beneficiaries of the program and they will get up to €248,000 extra funding and premium technology transfer services.

More information here

ELISE Call for AI applications

ELISE European Network of AI Excellence Centres is a network of artificial intelligence research hubs where the best European researchers in Machine Learning and AI work together to attract talent, foster research through collaboration and inspire and be inspired by industry and society.

ELISE will select 16 SMEs and start-ups that develop AI services or applications in one of the ELISE/ELLIS focus areas but are not limited to them as long as the proposals will address high-impact societal and economic challenges using machine learning.

Selected companies will enter the 6-month program and receive:

  • Up to € 60.000 (lump sum) to develop AI/Machine Learning applications in one of ELISE focus areas.
  • Visibility through ELISE online channels and events, and dissemination in the ELLIS community.

More information here


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