A high performance solution for predictive analytics

Project Information

Neural Designer

Grant agreement ID: 672676

DOI 10.3030/672676

Closed project

Start date 1 May 2015

End date 31 October 2015

Funded under

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Total cost € 71 429,00

EU contribution € 50 000,00

Coordinated by

ARTIFICIAL INTELLIGENCE TECHNIQUES SL
Spain

Objective

The predictive analytics market is undergoing an impressive growth. Indeed, organizations that incorporate that technique into their daily operations not only better manage the present, but also increase the probability of future success.

Intelnics develops the professional predictive analytics solution called Neural Designer. It makes intelligent use of data by discovering complex relationships, recognizing unknown patterns, predicting actual trends or finding associations. Neural Designer out-stands in terms of functionality, usability and performance.

Current technology lacks from advanced model selection techniques, and usually requires many computational resources. The main challenge for Neural Designer is to include a framework capable of untangling complex interactions in big data sets. In order to do that, the software must achieve ultra high performance by means of more efficient algorithms, code optimization and multi-core processing.

The intended users of the solution are professional data scientists, which work at analytics departments of innovative companies, consulting firms specialized in analytics or research centres. Neural Designer will be capable of analysing bigger data sets in less time, providing our customers with results in a way previously unachievable.

The goal is to successfully market Neural Designer. The feasibility assessment of Phase 1 will help us to validate our working hypothesis regarding technical, commercial, financial and legal issues. This study will allow Intelnics to apply for Phase 2 support, in which Neural Designer will be developed to a level of global competitiveness.

The predictive analytics market is largely dominated by the United States, but completion of this project will introduce a European product in the market place of data science.

Fields of science

• natural sciences › computer and information sciences › software
• natural sciences › computer and information sciences › data science › big data
• natural sciences › computer and information sciences › data science › data mining
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › computer hardware
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning

Programme(s)

• H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) Main Programme
• H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument

Topic(s)

• ICT-37-2014-1 - Open Disruptive Innovation Scheme (implemented through the SME instrument)

Call for proposal

H2020-SMEInst-2014-2015

See other projects for this call

Sub call

H2020-SMEINST-1-2014

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

ARTIFICIAL INTELLIGENCE TECHNIQUES SL

• Net EU contribution: € 50 000,00
• Address: Calle del adaja 10, parque cientifico de la univer de salamanca ; 37185 Villamayor - salamanca ; Spain
• Region: Centro (ES) › Castilla y León › Salamanca
• Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Other funding: € 21 429,00