Life Glimmer
Berlin-based scientific consultancy specializing in data-driven biomanufacturing. The organisation develops decision support systems, hybrid mechanistic/data-driven digital twins, machine-learning pipelines and interoperable data infrastructure to enable predictive control, DBTL automation and scale-up of microbial and mammalian bioprocesses. It also provides strategic advisory, consortium coordination and sustainability and economic assessments for bio-based production.
Industries
Nr. of Employees
small (1-50)
Life Glimmer
Services
Strategic advisory including technology landscaping, capability assessment, roadmapping and go-to-market strategy for organisations transitioning to bio-based production.
Custom DSS integrating process data, models and domain knowledge for operational and R&D decision-making.
Hybrid mechanistic and data-driven digital twins of microbial and mammalian bioreactors for soft sensing, scenario testing and predictive control.
End-to-end machine-learning and AI frameworks from foundation models to interpretable predictors for heterogeneous biological and process data.
Integration services that combine transcriptomics, proteomics, metabolomics and fluxomics into unified system-level analyses.
Constraint-based and kinetic modelling to redesign cell factories and identify metabolic engineering targets.
Strategic advisory including technology landscaping, capability assessment, roadmapping and go-to-market strategy for organisations transitioning to bio-based production.
Custom DSS integrating process data, models and domain knowledge for operational and R&D decision-making.
Hybrid mechanistic and data-driven digital twins of microbial and mammalian bioreactors for soft sensing, scenario testing and predictive control.
End-to-end machine-learning and AI frameworks from foundation models to interpretable predictors for heterogeneous biological and process data.
Integration services that combine transcriptomics, proteomics, metabolomics and fluxomics into unified system-level analyses.
Constraint-based and kinetic modelling to redesign cell factories and identify metabolic engineering targets.
Expertise Areas
- Decision support systems for biomanufacturing
- Digital twin development for bioprocesses
- Bioprocess analytics and real-time monitoring
- Multi-omics data integration
Key Technologies
- Hybrid mechanistic + machine learning modelling
- Digital twins for fed-batch and continuous bioreactors
- Multi-omics (transcriptomics, proteomics, metabolomics, fluxomics)
- Genome-scale metabolic modelling (constraint-based and kinetic)
News & Updates
Contributing project management and decision support expertise to the BIOS project to advance the bio-intelligent DBTL cycle for sustainable biomanufacturing.
Presented advances in decision support systems and bioprocess analytics at BioTechX Europe in Basel.
Research combining mechanistic models with machine learning for real-time bioreactor control accepted for publication.
Peer-reviewed research on digitalisation and automation in biomanufacturing.
Over a decade of participation in EU-funded research consortia and 20+ collaborative projects across biotech and health.
Contributing project management and decision support expertise to the BIOS project to advance the bio-intelligent DBTL cycle for sustainable biomanufacturing.
Presented advances in decision support systems and bioprocess analytics at BioTechX Europe in Basel.
Research combining mechanistic models with machine learning for real-time bioreactor control accepted for publication.
Peer-reviewed research on digitalisation and automation in biomanufacturing.
Over a decade of participation in EU-funded research consortia and 20+ collaborative projects across biotech and health.