Life Sciences, Pharma & Genomics Data Management
Curb runaway costs of explosive data growth. Protect sensitive clinical data. Accelerate AI-driven discovery.
Why Komprise for Life Sciences, Genomics and Pharmacutical Companies?
$1M
SAVED Per PB/YEAR
80%
BAM, FastQ Tiered
ZERO
ePHI, PII Surprises
The Komprise Difference for Life Sciences
Genome sequencing and pharmaceutical research are data intensive activities that generate terabytes per run. Raw files (e.g. FASTQ, DICOM) are large and intermediate BAM/CRAM files multiply storage needs. Regulations require that IT retains this unstructured data for decades. Further, high data quality is necessary to ensure accurate, safe outcomes for patients, which is challenging to attain as unstructured data lacks contextual metadata for search. Komprise helps IT organizations control data growth, reduce storage spend, protect sensitive research data, and deliver AI-ready data with rich metadata – with no changes to scientific workflows.
Visibility
ePHI, Sensitive Data
Tiering Cost Savings
Tiering Policies
Life Sciences Metadata
Customizable Policies
Cost of Storage Refresh
Compliance Reporting
AI Ingestion
Focus
Storage-Vendor Data Management
Siloed, storage specific
Limited to no support
Limited, only on storage
Limited, Cluster-Based
None
Limited
Lock-in. Costly Rehydration when Switching Vendors
None
Manual
Storage
Komprise Intelligent Data Management
Global Analytics Across all Storage and Clouds
Built-in ePHI and Enterprise-Sensitive Data Detection and Handling
Saves 70% on Storage, Backup and DR Costs
Flexible per Research Group or Department
Extract DICOM, BAM, FastQ, other Life Sciences Metadata for Rich Contextual Search
Showback by Department with Tiering Policies for each Group’s Unique Needs
No Rehydration Penalty or Data Lock-In
Built-in Chain-of-Custody Reports, Auditing
Intelligent Caching Keeps Data Secure in Place while Enabling use of AI. Boosts AI ROI by +80%
Data Management in Regulated Industries
Trusted by Life Sciences Leaders
75%
Saved on Storage After Migrating to Amazon S3
Pharmaceutical leader Pfizer uses Komprise to analyze petabytes of unstructured research data and identify cold files that can be moved from high-cost storage to the cloud without disruption and reduced storage costs while maintaining transparent access to research data.
AI Data Pipelines for Life Sciences
With Komprise you can build faster, more secure data pipelines that deliver the right unstructured datasets to AI. Komprise automatically discovers and indexes research data across file and object storage, extracting metadata from genomics, imaging, and research datasets to make them searchable and ready for AI workflows.
Control Explosive Genomics Data Growth
Cut 70%+ of costs, analyze and tier FASTQ, BAM, CRAM, VCF, imaging and research data.
- Analyze petabyte-scale sequencing, imaging and bioinformatics data across hybrid NAS, object and cloud storage without affecting active research.
- Identify cold FASTQ, BAM and intermediate pipeline files.
- Transparently tier cold files with custom policies for each research group or department to cut storage, backup and DR costs by 70%+
- Eliminate duplicate and redundant research datasets across labs and global sites with a single global data view.
Protect Sensitive Clinical and Research Data
Reduce compliance exposure and ransomware risk across regulated research environments.
- Detect and tag PHI, clinical trial records and proprietary research data.
- Reduce ransomware blast radius by identifying stale data, excessive permissions and high-risk research repositories.
- Enforce policy-driven governance for HIPAA, GDPR and other data protection requirements without slowing research teams.
Deliver Self-Service AI-Ready Research Data
Deliver governed, cost-efficient access to genomics and bioinformatics data across hybrid IT environments.
- Provide researchers and bioinformatics teams transparent access to archived and tiered data without manual IT intervention.
- Support AI data workflows to improve drug discovery for digital pathology, genomics, and research.
- Automate data governance with built-in data access controls, lineage tracking and chain-of-custody reporting.
Dig Deeper
Blog
Unstructured Data Management for Life Sciences
Pharma and biotech are accelerating innovation with cloud and AI, transforming how therapies are developed and delivered.
Industry
Hospitals & Healthcare Data Management
Securely manage unstructured healthcare data to accelerate AI insights, reduce storage costs, and support compliance.
WHITE PAPER
Komprise Intelligent Data Management architecture
Explosive data growth requires a re-think of how data is managed. Storage capacity is running out, backups are taking longer, and…
Frequently Asked Questions
Why is unstructured data management essential for life sciences and genomics organizations?
Life sciences organizations generate enormous volumes of unstructured data including FASTQ, BAM, CRAM, VCF, imaging and clinical research files. Without centralized visibility and control across hybrid infrastructure, storage costs escalate, compliance risk increases and researchers struggle to access the right data.
Unstructured data management provides global analytics, governance and automation to control growth while enabling AI-driven discovery.
How can genomics teams reduce storage costs without disrupting sequencing pipelines?
By analyzing file age, access patterns and duplication across NAS, object and cloud storage, organizations can tier cold sequencing data and intermediate pipeline outputs to lower-cost storage. Transparent movement ensures researchers maintain access without workflow disruption.
This reduces primary storage and backup costs while supporting high-performance analysis environments.
How does Komprise support compliance and data security in regulated research environments?
Komprise identifies sensitive data such as PHI, clinical trial documentation and proprietary intellectual property within unstructured files. Policy-based workflows enforce governance controls, reduce excessive permissions and isolate risky datasets.
This strengthens ransomware resilience and supports compliance with HIPAA, GDPR and other regulatory requirements.
How does unstructured data management improve AI and drug discovery initiatives?
AI and machine learning models depend on accessible, well-governed and high-quality datasets. Komprise enables life sciences organizations to discover, classify and prepare genomics data for analytics while controlling cost and risk.
By delivering AI-ready data across hybrid infrastructure, organizations accelerate precision medicine and drug discovery without adding operational complexity.
Why should biopharma organizations use Komprise over alternatives?
Komprise is designed and used by the most demanding biotech, pharma, genomics and life sciences organizations because it works across all storage and clouds, it is flexible and easy to configure for different departmental needs, it tiers data without the rehydration cost of storage-based tiering and it is designed for enterprise IT to cut costs, improve data value for drug discovery and manage data governance and security.
Ready to Bring Structured to Your Unstructured Data?
Schedule a call with our unstructured data management experts and see your file and object data in a whole new way.
Industry Leaders Trust Komprise
