SOLUTIONS for LIFE SCIENCE, GENOMICS, AND HEALTHCARE

From data silos to discovery-driven insight.

Data is fragmented. Imaging, sequencing, and clinical files live across disconnected systems.
Too many copies. Versions and duplicates pile up and inflate storage.
Hard to track lineage. What’s current, owned, or reusable isn’t obvious.
Compliance pressure. Retention rules and audits are hard to enforce consistently.
Unified visibility. Index research data across storage, labs, and partners in one view.
Context-rich metadata. Connect samples, studies, projects, and owners for traceability.
Automated curation. Identify duplicates, cold data, and high-value datasets—then act with policies.
Policy-based governance. Retention, audit trails, and controlled access for regulated data.
Faster discovery cycles. Less time searching and re-running work; more time analyzing results.
Lower storage costs. Automatically reduce duplicates and tier/archive cold data.
Stronger reproducibility. Standardized context and lineage improve reuse across studies and teams.
High-value AI/BI datasets. Cleaner, better-labeled inputs improve downstream modeling and insight quality.

Across tools like ThermoFisher, Illumina, Philips, and Dicom, Diskover connects every stage of the genomics data lifecycle through metadata—from capture to archive. Teams can quickly find and correlate what they need, then automate curation, movement, and retention—improving integrity, collaboration, and readiness for AI-driven discovery and clinical insight.

Sample Collection

Data Sequencing

Analysis & Modeling

Clinical Correlation

AI-Driven Insight

Publication & Sharing

Archive & Retention

No single owner of pathology data pipelines.
Applications in play create unwieldy structures on storage systems.
Fractured procurement throws more capacity issues at the problem.
Rapid index of 4.7PB, 27 million file dataset.
Identified 1PB of files older than 5 years old for immediate tiering/archiving.
Identified hotspots of unmanaged application temporary and cache data.
Established policy-driven rules for critical data vs application temporary data.
Tiering policy manages data lifecycle between filesystem and cloud.
Operationalized complex data flows by understanding pathology apps and genomics pipelines.
Reclaimed 10% of data estate—$750K—within days and identification of pipelines that do not clean up data.
Protects sensitive data with role-based access control and comprehensive audit trails.
Enabled strategic data estate planning and reduces complexity of lifecycle management.

Ready-to-go solutions to move faster—and stay compliant.

Major research institutes rely on Diskover solutions to keep genomics, imaging, and clinical data findable, governed, and reusable at scale. Diskover brings unified visibility and lifecycle automation—so teams enforce retention and access policies, reduce storage bloat, and accelerate discovery with trusted datasets.

Bioinformatics teams get buried in FASTQs/BAMs/CRAMs, intermediates, and duplicates. Storage bloat grows, compute slows, and it becomes harder to reproduce results or defend what was used.

Diskover, with our BAM plugin, pinpoints high-value vs. redundant genomics data and automates cleanup, tiering, and archiving—while preserving lineage—so pipelines run faster, results stay reproducible, and datasets remain ready for analytics and AI-driven discovery.

Teams lose time when whole-slide images can’t be traced to the right case, stain, or review version. Slides, annotations, and exports sprawl across systems—making reuse, QC, and retention a constant scramble.

Diskover indexes rich metadata that captures relationships and builds file lineage across locations, ownership, and lifecycle status—so teams can quickly find the right files, reduce duplicate storage, and enforce retention/tiering without manual cleanup.

Trial teams lose confidence when “latest approved” isn’t obvious. Artifacts scatter across sites, CROs, vendors, and folders—so lineage, auditability, and handoffs turn into delays.

Diskover connects trial files via rich metadata so teams can locate the right version quickly, maintain audit trails, and automate retention and tiering to keep datasets analysis-ready—for statistics, modeling, and AI/ML workflows

Collaboration breaks down when secure access is hard. Data lives across labs, hospitals, and partners—so teams resort to manual sharing, duplicated files, and unclear permissions.

Diskover connects trial files via rich metadata so teams can locate the right version quickly, maintain audit trails, and automate retention and tiering to keep datasets analysis-ready. With the Grant Plugin, teams can also tie data to studies and grant requirements—making reporting, access control, and compliance easier to manage across the trial lifecycle.

AI models are only as good as the data they learn from—yet research datasets are often noisy, duplicated, and missing context. Without traceability, teams can’t explain results or trust what was used.

Diskover turns fragmented research data into trusted, traceable datasets—so analytics and AI workflows run on high-value inputs with clear provenance and confidence.

Ready to bring order to your unstructured world?

Scroll to Top