COSMOLOGIC GMBH & COKG

Their core work

CosmoLogic is a German SME specializing in computational molecular modeling, applying quantum chemical and thermodynamic simulation methods to materials and life science research problems. In the MOSTOPHOS project, they contributed computational expertise to model the stability of organic phosphorescent light-emitting diodes — a technically demanding task requiring deep understanding of molecular excited states and degradation pathways. Their subsequent involvement in LOGIC LAB extended this molecular expertise into biological sensing, supporting the development of vesicle-based diagnostic systems that perform molecular logic operations inside living cells. They operate as a specialist computational partner within large international research consortia, offering simulation and modeling capabilities rather than wet-lab or engineering execution.

What they specialise in

How they've shifted over time

In their earliest H2020 involvement (2015-2018), CosmoLogic worked on modeling organic phosphorescent materials — a focus squarely within computational chemistry applied to advanced manufacturing and organic electronics. By 2018-2023, their keyword profile shifted entirely toward biological sensing, molecular spectroscopy, microfluidics, and metabolomics, signaling a deliberate expansion into life science and molecular diagnostics. This trajectory — from modeling molecules in electronic devices to analyzing molecules inside biological systems — suggests their core simulation methods are being redeployed across domains rather than the organization pivoting away from computational chemistry entirely.

CosmoLogic appears to be repositioning its computational chemistry capabilities toward life science and molecular diagnostics applications, making them a viable specialist partner for consortia bridging materials simulation and biological sensing.

How they like to work

CosmoLogic has never led an H2020 project, joining exclusively as a participant or third-party partner — consistent with a specialist firm that brings targeted technical expertise rather than project management capacity. Despite only two projects, they have accumulated 24 unique consortium partners across 8 countries, reflecting the large multi-partner structures typical of RIA and MSCA-ITN networks. A potential collaborator should expect a technically focused, organizationally light partner who contributes computational or analytical methods on demand, with no demonstrated appetite for coordination or leadership roles.

CosmoLogic has connected with 24 unique partners across 8 countries through just two projects, reflecting the broad consortium structures of RIA and MSCA-ITN grants rather than a dense bilateral partnership pattern. Their network is European in scope with no single-country concentration visible from available data.

What sets them apart

CosmoLogic occupies a rare niche as a computational chemistry SME in Leverkusen, a city embedded in Germany's chemical and pharmaceutical industrial cluster — giving them proximity to both industrial clients and major research institutions. Few private companies of this size operate at the intersection of quantum chemical simulation and applied EU research projects, making them an unusually accessible entry point for consortia that need modeling expertise without engaging a large academic group. Their demonstrated ability to contribute meaningfully across organic electronics and biological diagnostics within a single H2020 period signals genuine cross-domain computational flexibility.

Highlights from their portfolio

• MOSTOPHOS
  The only project for which CosmoLogic received EC funding (EUR 318,125), involving computationally demanding modeling of phosphorescent OLED stability — a niche requiring advanced quantum chemical methods applied to organic electronics.
• LOGIC LAB
  An unusually cross-disciplinary project combining molecular logic gate computing with biological vesicles for intracellular diagnostics, demonstrating CosmoLogic's expansion from materials science into life science applications within a single MSCA-ITN network.