Innovative digital platform based on machine learning to analyze large databases, aggregate them and provide results to questions made in natural language.

Project description

A pioneering customisable data analytics platform handles Big Data in all kinds of use cases

The era of Big Data presents both tremendous opportunities and significant challenges – the potential to leverage greater insight for business decision-making and the difficulty in developing the algorithms necessary to do this in so many varied applications. The Italian SME INNAAS has developed a technology platform, INNAAS Fast-AI Platform, which will help enterprises quickly deploy custom-made AI-driven digital services for a virtually limitless range of real-time business analytics use cases. The EU-funded PerformB project is supporting the team in bringing their pioneering enterprise software to market to maximise performance and business outcomes.

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 › business intelligence
• social sciences › economics and business › business and management › employment
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

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

Topic(s)

• EIC-SMEInst-2018-2020 - SME instrument

Call for proposal

H2020-EIC-SMEInst-2018-2020

See other projects for this call

Sub call

H2020-SMEInst-2018-2020-1

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

INNAAS SRL

Net EU contribution

€ 50 000,00

Address

Via Panama 52
00198 Roma
Italy

Region

Centro (IT) › Lazio › Roma

Activity type

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

Links

Other funding

€ 21 429,00