MCS DATALABS

Their core work

MCS Datalabs is a Berlin-based data science SME that builds AI and big data analytics solutions for complex societal challenges — from pandemic early warning systems to cancer patient support platforms. They specialize in turning heterogeneous data streams into actionable intelligence using machine learning, NLP, and predictive analytics. Their work spans crisis management decision support, health data analysis (including bioinformatics and diagnostics), and circular economy governance tools, always as a technical partner delivering data-driven components within large European consortia.

What they specialise in

How they've shifted over time

MCS Datalabs started with emergency communications (EMYNOS, 2015) and circular economy governance tools involving blockchain and decision support for material flows (REFLOW, 2019). From 2020 onward, they shifted decisively toward AI and machine learning applications in health and security — pandemic crisis prediction (STAMINA) and cancer patient data analytics (ONCORELIEF). The trajectory shows a company that matured from general data infrastructure work into specialized AI-driven analytics for high-stakes domains like public health and civil protection.

MCS Datalabs is converging on AI/ML-based decision support for health and security applications, making them a strong candidate for future projects in digital health, civil protection, or pandemic preparedness.

How they like to work

MCS Datalabs operates exclusively as a consortium participant — they have never coordinated an H2020 project, which is typical for a specialist SME that contributes technical components rather than managing large research programmes. With 87 unique partners across 22 countries in just 4 projects, they work in large, diverse consortia and are comfortable integrating into complex multi-partner setups. This broad network suggests they are adaptable collaborators who can plug into new teams without friction.

Despite only 4 projects, MCS Datalabs has built connections with 87 partners across 22 countries, indicating participation in large consortia with 20+ members each. Their network spans most of the EU, with no obvious geographic concentration beyond their German base.

What sets them apart

MCS Datalabs combines AI, NLP, and big data analytics skills with domain experience across both health and security — a rare crossover that makes them valuable for projects where these sectors intersect, such as pandemic preparedness or public health emergencies. As a Berlin-based SME, they bring the agility and specialization that large consortia need for their data analytics work packages, without the overhead of a research institute. Their additional experience in circular economy and blockchain adds versatility that most pure health-tech or security-tech companies lack.

Highlights from their portfolio

• ONCORELIEF
  Their largest single grant (EUR 615,750) and a clear demonstration of their AI and big data analytics capabilities applied to cancer patient wellbeing.
• STAMINA
  Directly relevant to pandemic preparedness — combines AI, ML, NLP, and predictive analytics for crisis prediction and management decision support.
• REFLOW
  Shows their versatility beyond health/security, applying blockchain and decision support tools to circular economy challenges across multiple material streams.