SciTransfer
Organization

KNOW CENTER RESEARCH GMBH

Austrian research SME building AI-powered data analytics platforms, trusted data-sharing systems, and large-scale ML pipelines for industry and science.

Technology SMEdigitalATSME
H2020 projects
17
As coordinator
3
Total EC funding
€7.3M
Unique partners
327
What they do

Their core work

Know Center is an Austrian applied research centre specializing in data-driven intelligence — turning large, complex datasets into usable knowledge for industry and science. They build data analytics platforms, AI-powered decision support systems, and secure data-sharing infrastructures. Their work spans industrial data (manufacturing 4.0), scientific data management (HPC, open science), and trusted data marketplaces, making them a bridge between raw data assets and actionable business or research value.

Core expertise

What they specialise in

Artificial Intelligence & Machine Learning systemsprimary
6 projects

Central theme across AI4EU, AI4DI, DAPHNE, TRUSTS, EXPLORE, and EUHubs4Data — covering AI platforms, ML pipelines, and human-machine collaboration.

Big Data analytics & data managementprimary
5 projects

Core competence demonstrated in HiDALGO (HPC/Big Data), DAPHNE (large-scale data pipelines), EUHubs4Data, SemI40, and TRUSTS.

Data markets, sharing & privacyprimary
3 projects

Coordinated Safe-DEED on safe data economics, contributed to TRUSTS (trusted data sharing spaces) and EUHubs4Data (data-driven innovation hubs).

Industrial IoT & Manufacturing 4.0secondary
3 projects

Participated in SemI40 (semiconductor manufacturing 4.0), iDev40 (integrated development 4.0), and AI4DI (AI for digitizing industry).

Open Science & research data infrastructuresecondary
4 projects

Contributed to OpenUP (open peer review), ON-MERRIT (coordinated — responsible research), TRIPLE (EOSC discovery platform), and EXPLORE (scientific data exploration).

2 projects

HiDALGO focused on HPC/exascale analytics; DAPHNE (coordinated) integrates HPC with ML pipelines for large-scale data management.

Evolution & trajectory

How they've shifted over time

Early focus
Industry 4.0 and open science
Recent focus
AI systems and data economy

In their early H2020 period (2015–2018), Know Center worked across a diverse set of topics — from neuroprosthetics (MoreGrasp) and open science metrics (OpenUP) to Industry 4.0 manufacturing (SemI40), reflecting a broad applied-data-science profile. From 2019 onward, their focus sharpened dramatically toward AI, machine learning systems, and trusted data ecosystems, with three AI-labelled projects (AI4EU, AI4DI, DAPHNE) and two data marketplace projects (TRUSTS, EUHubs4Data). The shift shows a clear consolidation from "general data analytics for varied domains" to "AI-powered data infrastructure and data economy."

Know Center is positioning itself as a go-to partner for building trustworthy AI-driven data platforms, particularly where secure data sharing, large-scale analytics, and industry adoption intersect.

Collaboration profile

How they like to work

Role: active_partnerReach: European36 countries collaborated

Primarily a consortium partner (14 of 17 projects), Know Center takes a specialist contributor role, bringing data science and AI capabilities into larger teams. They have coordinated three projects (Safe-DEED, ON-MERRIT, DAPHNE) — all focused on their core data/AI competence — showing they can lead when the topic is squarely in their domain. With 327 unique partners across 36 countries, they are well-networked and comfortable in large European consortia, making them an easy organization to integrate into new proposals.

An exceptionally well-connected SME with 327 unique consortium partners spanning 36 countries, giving them one of the broadest partner networks for an organization of their size. Their partnerships span academia, industry, and research infrastructure providers across virtually all of Europe.

Why partner with them

What sets them apart

Know Center occupies a rare niche: they are a research-grade data science SME that can both conduct fundamental AI/ML research and deliver applied data solutions for industry. Unlike university labs, they move at commercial speed; unlike large IT companies, they bring deep research methodology and H2020 consortium experience. Their combination of trusted data sharing expertise (Safe-DEED, TRUSTS) with HPC and ML pipeline engineering (DAPHNE, HiDALGO) makes them particularly valuable for projects needing production-ready data intelligence infrastructure.

Notable projects

Highlights from their portfolio

  • DAPHNE
    Their largest funded project (EUR 737K) and a coordinator role, integrating HPC, ML, and large-scale data management — the clearest expression of their strategic direction.
  • Safe-DEED
    Coordinated project on safe data-enabled economic development, demonstrating thought leadership in the emerging European data economy and data sovereignty space.
  • HiDALGO
    Significant funding (EUR 703K) for HPC and Big Data technologies applied to global-scale simulation challenges, showing capacity for computationally intensive work.
Cross-sector capabilities
Manufacturing & Industry 4.0 (process digitization, predictive analytics)Space & astronomy (scientific data pipelines, large-scale data exploration)Open science & research infrastructure (EOSC, discovery platforms)Healthcare & assistive technology (data-driven neuroprosthetics)
Analysis note: Strong data basis with 17 projects and clear thematic evolution. Some early projects (AFEL, MOVING) lack keyword data, slightly limiting the early-period analysis. The organization's website and public profile would confirm the applied research focus inferred here.