SciTransfer
Organization

ROOTER ANALYSIS SL

Spanish data analytics SME applying AI, deep learning, and privacy-by-design across digital services and Industry 4.0 manufacturing.

Technology SMEdigitalESSMENo active H2020 projectsThin data (2/5)
H2020 projects
3
As coordinator
0
Total EC funding
€779K
Unique partners
44
What they do

Their core work

Rooter Analysis is a Spanish SME specializing in data analytics and AI-driven solutions, applying machine learning and data processing techniques across multiple industry domains. Their work spans data economy modeling, privacy-preserving voice-enabled services using deep learning, and zero-defect manufacturing platforms for Industry 4.0. The company serves as a technical contributor bringing data analysis and AI capabilities into larger European R&D consortia, bridging the gap between raw data and actionable intelligence for both digital services and industrial applications.

Core expertise

What they specialise in

Data analytics and data economyprimary
3 projects

Core to all three projects — from modeling the European data economy (EuDEco) to data-driven voice services (COMPRISE) and manufacturing data platforms (ZDMP).

Deep learning and weakly supervised learningsecondary
1 project

COMPRISE project explicitly involved deep learning and weakly supervised learning for multilingual voice-enabled services.

Privacy-by-design in AI systemssecondary
1 project

COMPRISE focused on cost-effective, privacy-driven voice services with privacy-by-design as a core principle.

Zero-defect manufacturing and Industry 4.0emerging
1 project

ZDMP project (2019-2023) focused on building a zero defect manufacturing platform, marking an expansion into industrial applications.

Evolution & trajectory

How they've shifted over time

Early focus
Data economy modeling
Recent focus
Applied AI for industry

Rooter Analysis began in H2020 with a broad focus on data economy modeling (EuDEco, 2015), working on how data flows and creates value across European markets. By 2018-2019, they shifted decisively toward applied AI — first in NLP and voice interaction with privacy constraints (COMPRISE), then into industrial manufacturing quality assurance (ZDMP). The trajectory shows a company moving from abstract data economy research toward concrete, applied AI solutions in specific industry verticals.

Rooter is moving from general data analytics toward applied AI in industrial settings, suggesting future projects will likely target manufacturing, quality control, or other vertical AI applications.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European13 countries collaborated

Rooter Analysis operates exclusively as a consortium participant, never taking the coordinator role — typical of a specialist SME that contributes targeted technical expertise rather than managing large projects. With 44 unique partners across just 3 projects, they work in large consortia (averaging ~15 partners per project), indicating comfort operating in complex multi-partner environments. Their broad partner base with no repeated partnerships suggests they are flexible and adaptable rather than reliant on a fixed network.

Rooter has collaborated with 44 unique partners across 13 countries in just 3 projects, reflecting engagement in large, geographically diverse European consortia. This wide reach relative to their project count suggests they integrate well into varied international teams.

Why partner with them

What sets them apart

Rooter Analysis combines data analytics expertise with practical AI capabilities (deep learning, NLP) and a strong privacy-by-design orientation — a combination that is increasingly valuable as EU regulations tighten around AI and data use. Their ability to apply these skills across very different domains (digital services, voice interaction, manufacturing) makes them a versatile technical partner. For consortium builders, they offer an SME that can handle the data/AI workpackage without the overhead or cost of a large research organization.

Notable projects

Highlights from their portfolio

  • ZDMP
    Their most recent and longest-running project (2019-2023), representing a strategic pivot into Industry 4.0 zero-defect manufacturing — a high-demand application area.
  • COMPRISE
    Demonstrates their deepest technical range, combining deep learning, weakly supervised learning, multilingual NLP, and privacy-by-design in a single voice-services platform.
  • EuDEco
    Their largest funded project (EUR 361,562) and earliest H2020 engagement, focused on the foundational topic of European data economy modeling.
Cross-sector capabilities
Manufacturing and Industry 4.0 (via ZDMP experience)Data governance and digital economy policyVoice/NLP services for any sector requiring multilingual interactionPrivacy and GDPR compliance in AI systems
Analysis note: Profile based on only 3 H2020 projects with limited keyword data (none for the earliest project). No website available for verification. The company's exact commercial offerings and team size remain unclear from project data alone. The evolution analysis is directional but based on a small sample.