Brief company overview and expertise introduction for ICT-15 Big Data Value PPP Lighthouse Projects Information and Networking day in Brussels.

1. www.adaptant.io
Adaptant Solutions AG
Paul Mundt
paul.mundt@adaptant.io
Founder & Managing Director
Adaptant Solutions AG
Overview for ICT-15 Big Data Value PPP Lighthouse Projects

2. Company facts and Activities
 Newly established SME (start-up) focused on
adaptable data stewardship/management in cross-
vertical applications, building the technologies to both
federate and “open up” data lakes.
 Based in Munich, Germany.
 Founded by former Huawei CTO, OS & Virtualization.
 Previous experience in:
• ICT-07-2014: MIKELANGELO (Microkernel Virtualization for High
Performance Cloud and HPC Systems – HPC Cloud + Big data)
• ICT-04-2015: M2DC (Modular Microserver DataCenter)
• Various other proposals focused on heterogeneous computing and
future datacenter architecture (across various ICT & FETHPC
calls).
 Previous contributions to BDVA and ETP4HPC
SR(I)As, in the areas of HPC + Cloud + Big data usage
models, architecture, and management.
 Available for:
• Advanced Cloud and data platform R&D projects,
especially ones with data protection/management and
compliance concerns (whether IAs, RIAs, or CSAs).
• Industry standardization activities
• Exploitation activities, both in terms of technology
transfer/re-use as well as commercial go-to-market.
• IP management and co-ordination.
 Main areas of interest and expertise:
• Data usage control for the future internet, Cloud,
and Big data domains.
• Data & I/O Virtualization technologies
• Integrated data life cycle management and
governance across VM/Container/Bare metal
models, including hybrid deployment scenarios.
• Data lifecycle management and governance across
microservices.
• Technological means to establish differentiated data
value chains across industry applications and
sectors.
• Augmentation of industry-specific private (or
confidential) data with deregulated open data as a
means to increase value (e.g. through virtual or
logical data lakes, enterprise data virtualization, …).
• Exploration of new Vs in Big data analytics:
• Volatility – Dynamic data (e.g. sensor networks & IoT)
• Viability – Data able to be used in given operational
context (e.g. regulatory/compliance restrictions
stemming from lineage, geographic locale, or
intended use).

3. Thank You!