Intelligent Data Management for Life Sciences and Genomics
Life sciences and genomics organizations are generating massive volumes of unstructured data, from high-throughput sequencing runs to imaging and instrument outputs, often producing terabytes per experiment. Raw data formats such as FASTQ and DICOM, along with derived files like BAM and CRAM, rapidly multiply data storage requirements, while regulatory mandates require this data to be retained for decades. As costs rise and data sprawl increases across hybrid environments, organizations face growing pressure to not only control data storage costs and protect sensitive research data, but also to make it accessible for AI-driven discovery. Komprise enables life sciences IT to reduce storage and backup costs, gain visibility across silos, enrich metadata, and automate the curation of unstructured data for scalable, governed AI workflows.
This solution brief provides an overview of Komprise Intelligent Data Management for Life Sciences, Genomics and Pharma.
Get Global Visibility- Protect Sensitive Clinical Data
- Accelerate AI-driven discovery
- Improve Unstructured Data Compliance
- Save 70%+ on Data Storage & Backup
- Automate AI Data Workflows
Learn more about Komprise for Life Sciences, Genomics and Pharmaceuticals Data Management.
Why is unstructured data management critical for life sciences organizations?
Life sciences companies generate massive volumes of unstructured data from genomics sequencing, microscopy images, clinical trials, lab instruments, research collaboration, and regulated documentation. Without proper management, this data drives rising storage costs, creates silos, and slows research, analytics, and AI initiatives.
How does Komprise help life sciences organizations optimize storage costs?
Komprise helps identify inactive research and file data, then transparently tiers it to lower-cost object or cloud storage while preserving user access. This can cut primary storage and backup costs by 70%+ while freeing premium capacity for active R&D workloads. Komprise can also be a critical part of an AI data pipeline, detecting sensitive data and ensuring only the right data sets are ingested at high speed. Learn more about Komprise Intelligent AI Ingest.
How does Komprise support AI and drug discovery workflows?
Komprise helps research teams rapidly find, classify, tag, and move the right unstructured datasets into AI, analytics, and HPC pipelines. This enables more precise data curation for model training, retrieval workflows, and faster scientific insight. Learn more about Smart Data Workflows for AI.
How does Komprise help with compliance and data governance in life sciences?
Life sciences organizations must manage strict requirements such as FDA 21 CFR Part 11, HIPAA, GDPR, auditability, and retention mandates. Komprise improves visibility across storage silos, helps detect sensitive data, and automates governance workflows to reduce compliance risk. Read the compliance solution brief.
Why is Komprise better than manual storage management for research environments?
Manual approaches cannot scale across billions of files, multiple storage vendors, and hybrid cloud environments. Komprise provides automated analytics, policy-based movement, showback reporting, and a Global Metadatabase so IT teams can support scientists faster with less operational overhead.