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

Summary
90% of all issues affecting ICT infrastructures are known and documented issues , that could have been avoided, but still
outages happen. Many aspects of our everyday life rely on ICT systems and the trend shows it will increase to the point
where we will soon fully depend on them. When technical issues cause interruptions to these services, the results can be
dramatic. Imagine the chaotic and even life-threatening effects of outages in airport flight control systems, life support
systems in hospitals, banks, railway management systems.
Every ICT solution vendor maintains their own Knowledge base where these issues are documented in human readable
format. These sources of information are used by System Administrators and Engineers maintaining and supporting the ICT
environments to help them troubleshoot and resolve the issues. Unfortunately, this vast information database is only used
reactively.
Runecast has been at the forefront of developing Runecast Analyzer technology for over 3 years. During these 3 years we
have built a world class development team based in the Czech Republic that has developed cutting edge, patent pending,
technology. Runecast’s flagship product, Runecast Analyzer, has been leveraging manual translation of the existing
knowledge base records into computer readable records to prevent issues on thousands of virtual environments running
VMware platform ever since its release in October 2015.
RAIKA, our disruptive solution is designed to proactively scan ICT systems to identify all known issues that can be prevented
within that system. It does so by gathering and parsing information from public knowledge bases, then using Artificial
Intelligence (AI) and human expertise to translate it to machine usable data. This data is then used to analyze configuration
and logs on the ICT environment. The result is the ability to identify known technical issues and problematic patterns before
they cause service interruptions.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/874184
Start date: 01-10-2019
End date: 31-01-2022
Total budget - Public funding: 2 713 220,00 Euro - 1 899 254,00 Euro
Cordis data

Original description

90% of all issues affecting ICT infrastructures are known and documented issues , that could have been avoided, but still
outages happen. Many aspects of our everyday life rely on ICT systems and the trend shows it will increase to the point
where we will soon fully depend on them. When technical issues cause interruptions to these services, the results can be
dramatic. Imagine the chaotic and even life-threatening effects of outages in airport flight control systems, life support
systems in hospitals, banks, railway management systems.
Every ICT solution vendor maintains their own Knowledge base where these issues are documented in human readable
format. These sources of information are used by System Administrators and Engineers maintaining and supporting the ICT
environments to help them troubleshoot and resolve the issues. Unfortunately, this vast information database is only used
reactively.
Runecast has been at the forefront of developing Runecast Analyzer technology for over 3 years. During these 3 years we
have built a world class development team based in the Czech Republic that has developed cutting edge, patent pending,
technology. Runecast’s flagship product, Runecast Analyzer, has been leveraging manual translation of the existing
knowledge base records into computer readable records to prevent issues on thousands of virtual environments running
VMware platform ever since its release in October 2015.
RAIKA, our disruptive solution is designed to proactively scan ICT systems to identify all known issues that can be prevented
within that system. It does so by gathering and parsing information from public knowledge bases, then using Artificial
Intelligence (AI) and human expertise to translate it to machine usable data. This data is then used to analyze configuration
and logs on the ICT environment. The result is the ability to identify known technical issues and problematic patterns before
they cause service interruptions.

Status

CLOSED

Call topic

EIC-SMEInst-2018-2020

Update Date

27-10-2022
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