A.I. enabled knowledge analysis automation to increase resilience, security and performance of Enterprise ICT systems.

Project description

New technology to identify issues in existing ICT systems

Field of science

• /natural sciences/computer and information sciences/artificial intelligence
• /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/automation and control systems

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-2018-2020-2
See other projects for this call

Funding Scheme

SME-2 - SME instrument phase 2

Coordinator

RUNECAST SOLUTIONS NETHERLANDS BV

Address

Posthoornstraat 17
3011 WD Rotterdam
Netherlands

Activity type

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

EU contribution

€ 126 000

Participants (2)

RUNECAST CZECH REPUBLIC S.R.O.

Czechia

EU contribution

€ 1 645 679

Address

Milady Horakove 1957/13
602 00 Brno

Activity type

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

RUNECAST SOLUTIONS LIMITED

United Kingdom

EU contribution

€ 127 575

Address

Kemp House, 152 City Road
EC1V 2NX London

Activity type

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