Feasibility study for lancing an innovative software tool based on mathematical methods in the B2B market

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.

Fields of science

• natural sciences › computer and information sciences › software › software development
• natural sciences › physical sciences › classical mechanics › fluid mechanics › fluid dynamics

Programme(s)

• H2020-EU.3. - PRIORITY 'Societal challenges
• H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
• H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies

Topic(s)

• EIC-SMEInst-2018-2020 - SME instrument

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

NAVASTO GMBH

Address

Reuchlinstrasse 10/11 Aufgang H
10553 Berlin
Germany

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU contribution

€ 50 000