Project description
A modular software solution for startups to grow
Today’s global entrepreneurial ecosystem is giving rise to start-ups. These ventures are flexible and currently on the rise. However, new knowledge, predictive analytics and improved industry practices will encourage faster and more successful growth of start-ups. The EU-funded RDNA project will elaborate predictive analytics for a better knowledge of the success and growth of start-ups. RDNA is a modular software solution that permits newly founded start-ups to grow by detecting, increasing and forecasting new business initiatives. The project will develop two highly advanced solutions that propose concrete actions based on the specific characteristics of each start-up and to predict targets that permit success to the venture.
Objective
We are an Amsterdam-based startup with the ambition to help startups translate their ideas into successful businesses by using cutting-edge scientific knowledge, predictive analytics and industry best practices. RocketDNA is a modular software solution that empowers incubators to build a portfolio of fast-growing businesses through tracking, improving and predicting new venture performance. At the same time, it enables early-stage startups to grow in a professional and structured way while improving communication, knowledge exchange and transparency in the relationship with incubators. We employ a highly co-creative approach to product development, comprising frequent client interactions and close collaborations. Our goal is to use predictive analytics to integrate and evaluate various success factors that help better explain venture growth. We will use the feasibility study to develop two highly innovative features for our software that are part of our product strategy and enable us to scale up rapidly. These two solutions comprise a) the (automated) recommendation of concrete action to startups based on their idiosyncrasies and b) the prediction of scores, reflecting the overall likelihood of startup success.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1814 GJ ALKMAAR
Netherlands
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.