Service Overview

Healthcare and life sciences organizations face exploding volumes of fragmented EHR, genomics, and real-world data—their progress and growth hampered by silos, interoperability gaps, and stringent HIPAA/GDPR mandates. Yet AI-driven R&D demands unified, high-quality, compliant data foundations.

ClairLabs bridges this divide with multi-omics-optimized lake houses, cloud-native governance frameworks alongside automated lineage & metadata pipelines—delivering secure, self-service platforms that accelerate regulatory approvals and power AI-enabled discovery.

Data Engineering and Governance Offerings

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We architect scalable data lakes, lakehouses, and warehouses—integrating genomics, clinical, and operational data into a unified, AI-ready foundation for life-sciences insights.

Data Platform Design
and Architecture

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We implement domain-oriented data mesh/fabric patterns and virtualization layers—democratizing data as a product with self-service access and decentralized governance.

Data Mesh and Virtualization

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We automate metadata management and cataloguing with data-catalog and lineage tools, empowering bioinformaticians to discover, understand, and trust critical multi-omics datasets.

Metadata and
Lineage Automation

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Establish enterprise governance programs with role-based access, HIPAA/GDPR controls, audit trails, and policy enforcement—guaranteeing data privacy, traceability, and regulatory confidence.

Globally Complaint Ecosystems

Why ClairLabs

Multi-omics-informed Data Engineering

Leverage deep NGS domain expertise to build robust, scalable pipelines that integrate clinical, operational, and multi-omics data, fueling faster, AI-driven scientific breakthroughs.

Cloud-native,
Scalable Platforms

Architect resilient data platforms on AWS/Azure with elastic compute and cost-optimization—seamlessly handling petabyte-scale life-sciences workloads without sacrificing performance.

Accelerated
Approvals

Minimize audit cycles and regulatory risk with automated lineage and HIPAA/GDPR enforcement—enabling faster FDA approvals and building stakeholder confidence.

Metadata-driven
Self-service

Implement metadata cataloging and lineage automation to empower researchers with trust-ready, self-service access, accelerating discovery cycles and cross-team collaboration.

Related Solutions

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Unified Scientific
Data Lakehouse

Unified Scientific
Data Lakehouse Modernize your data foundation with cloud-native lakehouses that unify genomics, EHR, and real-world data—powering reproducible research, ML pipelines, and clinical-grade insights.

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Robust
Regulated Discovery

Robust
Regulated Discovery Implement intelligent governance frameworks that ensure HIPAA/GDPR compliance, fine-grained access control, and traceable lineage—accelerating secure data use across biopharma and diagnostics.

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Context-aware
Metadata Intelligence

Context-aware
Metadata Intelligence Enrich data with automated, domain-aware metadata and lineage tracking—enabling scientists to easily find, trust, and reuse high-value datasets in precision medicine and translational research.

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Real-time Interoperable
Data Pipelines

Real-time Interoperable
Data Pipelines Build agile, low-latency ETL and API ecosystems to support multi-modal data flows between instruments, cloud systems, and LIMS—fueling speed and scale in diagnostics and discovery.