Project description
New software for optimal data management
High-tech companies just like computer-aided engineering produce a lot of data. These mainly stem from simulations and experiments during product design. All of this data gets stored in large data centres, and never see again the light of day as more and more data sits on top of it – a virtual big data graveyard. EU funding of the InSoMa project is enabling Germany-based company NAVASTO develop software to address this issue. NAVPACK is the first tool of its kind that uses machine learning, reduced-order modelling and interpolation methods to exploit this high volume of data to the benefit of companies. Once it will be released, it will significantly aid data management and decision-making in a number of industries including the aeronautics and automotive.
Objective
NAVASTO is a technology company focusing on engineering services for Computational and Experimental Fluid Dynamics, including workflow, method and software development. This project shall enable us to lay the foundation of NAVPACK, our innovative software product for the B2B market. Technical, legal and economic challenges will be analysed and evaluated.
NAVPACK is based on state-of-the-art mathematical methods and addresses a problem common to high-tech companies worldwide: Large amounts of data from simulations and experiments is produced during the design process - most of it ends up on data graveyards. NAVPACK, as practically the first tool of its kind, uses machine learning, reduced order modelling and interpolation methods to enable the exploitation of the entirety of this data. With those methods, novel optimization strategies, such as Surrogate Based Optimization, can be used to significantly speed-up the design process and validation strategies can be improved by applying data fusion for numerical and experimental data to enhance the validity of the result. NAVPACK’s process and data management capabilities will allow to effortlessly apply those methods to existing and runtime-generated sets of data, accessed via a state-of-the-art cross-platform interface.
With NAVPACK, we target the Computer Aided Engineering market, a vastly growing one with a compound annual growth rate of about 10%. Some of our clients, specifically from the automotive, aeronautics and maritime industry sector, already assured a keen interest in the possibilities a fully developed NAVPACK will provide. Our main advantage at this point is our pioneer status with respect to the exploitation of the underlying mathematical methods and our in-depth understanding of industry workflows. Successfully establishing NAVPACK will lead to a substantial increase of NAVASTO’s business through revenue from licenses and an increased core business due to after sales services.
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.
- natural sciences physical sciences classical mechanics fluid mechanics fluid dynamics
- natural sciences computer and information sciences software software development
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aeronautical engineering
- natural sciences computer and information sciences artificial intelligence machine learning
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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.
10553 BERLIN
Germany
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.