Accelerate discovery through tailored data mesh architectures
Excelra builds Data Mesh architectures tailored to the complexity of scientific data. From multi-omics and assay outcomes to clinical records and Real-World Evidence (RWE), we help you move beyond centralized bottlenecks to a model where data is accessible, interoperable, and AI-ready.
How we engineer your data mesh
Scientific data product engineering
We create “Scientific Data Products” engineered for discoverability and reuse across the R&D chain.
- Interoperability: Seamless integration across bioinformatics, pharmacovigilance, HEOR, and commercial analytics.
- Standards-Based: Built-in compliance with CDISC, SNOMED, MedDRA, and scientific ontologies.
- Traceability: Every product includes defined SLAs, lineage visibility, and domain-specific metadata.
Self-Service scientific platforms
Stop filing IT tickets for data access. We engineer cloud-native platforms that simplify ingestion, transformation, and annotation for scientists and biostatisticians.
- Multi-Modal Support: Handle everything from structured clinical data to unstructured research notes and raw instrument files.
- Independence: Domain teams can publish and consume validated datasets without relying on centralized engineering.
Federated governance for regulated environments
We implement governance models specifically aligned with Pharma and Biotech regulations.
- Compliance Automation: Automated frameworks for GxP, HIPAA, and GDPR.
- Unified Cataloging: A centralized view of all scientific datasets, ensuring secure and traceable data flows while maintaining the flexibility needed for experimentation.
A data strategy built for scientific workflows
Generic enterprise architectures often fail in life sciences because they cannot handle the nuance of biological data. Our strategy centers on domain knowledge.
We start with a detailed readiness assessment covering scientific standards, FAIR principles, regulatory constraints, and ontologies. The result is a framework where your scientific teams operate as autonomous producers and consumers of high-quality, trusted data products.
Why leading life sciences firms choose excelra
Expertise in life sciences data
Our team of over 1,000 specialists, blending biology, chemistry, and computational sciences, crafts implementations attuned to the nuances of drug discovery and patient-centric outcomes.
Data productization aligned with FAIR standards
Products are meticulously built to embody FAIR principles, augmented with semantic metadata and knowledge graphs, enabling cross-functional trust and reuse across applications from biomarker validation to HEOR evaluations.
Streamlined enablement for AI and machine learning in drug discovery
AI practitioners gain rapid entry to curated, domain-annotated datasets, fueling advancements in predictive analytics, target validation, and revenue projections via our FAIRification and AI integration services.
Validated deployments in regulated landscapes
Solutions conform to FDA, EMA, and PMDA guidelines, incorporating inherent features for audit trails, data provenance, and methodological reproducibility at enterprise scale.
Agnostic, Cloud-Based development
Compatible with AWS, Azure, Google Cloud Platform, Snowflake, and Databricks, alongside our in-house technologies, to accommodate diverse infrastructure while prioritizing security and performance.
Integration of LLMs and generative AI
Architectures support LLM-enhanced functionalities, including intelligent scientific querying, automated data labeling, hypothesis formulation, and interdisciplinary data synthesis.
Use cases: Where data mesh delivers value
End-to-End R&D visibility
Unify data across discovery platforms, translational studies, and clinical trials. Enable business teams to access validated cross-domain views that accelerate molecule progression.
AI-Ready bioinformatics
Create harmonized datasets for QSAR models, ADMET predictions, and biomarker discovery. Standardized data products significantly reduce preparation time for ML pipelines.
Real-Time clinical operations
Improve trial monitoring and patient recruitment efficiency by linking datasets from EDC, CTMS, eCOA, and safety systems in near real-time.
RWE & commercial insights
Combine insurance claims, EHR, and genomics data into federated products for HEOR modeling and longitudinal patient journey insights.
How data mesh reduces dependency on central engineering
1. Domain-Oriented decentralized ownership
We assign end-to-end responsibility to the business domains (e.g., Genomics, Clinical Ops). These teams treat data as their product, managing quality and schema rather than waiting for a central team to do so.
2. Data as a product
Domain teams build data products specifically for consumers. This includes clear documentation, defined SLAs, and robust discoverability. The domain team ensures the data is consumption-ready, removing the central bottleneck.
3. Self-Serve data infrastructure
Domain teams manage the data, but they don’t build the servers. A small central team provides a “Data Platform as a Service” with automated tools. This allows domains to provision and manage data autonomously without needing deep infrastructure engineering support.
4. Federated computational governance
Instead of top-down bureaucracy, governance becomes collaborative. We establish universal standards and interoperability protocols that ensure security while allowing domains the freedom to innovate.
The central engineering team transforms from a “ticket-taking” execution team into a strategic platform enabler.
The ROI of Excelra’s Data Mesh
Faster Access
Shorten the time to prepare, validate, and share R&D and clinical datasets.
Reduced Workload
Automated pipelines and self-serve capabilities reduce manual ETL tasks and data wrangling
Higher Quality
Standardized models and automated QC workflows improve data reliability and reproducibility.
Accelerated AI
Researchers access harmonized datasets in minutes, speeding up model development for discovery and predictions.
Total Compliance
Federated governance ensures compliance with GxP and GDPR through automated audit trails.
Actionable Intelligence
Swift candidate prioritization and trial conduct lead to better therapeutic and commercial outcomes.
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Ready to modernize your scientific data architecture?
Transform your data from a bottleneck into a competitive advantage—partner with Excelra to build a compliant, AI-enhanced ecosystem that drives results.
Our process starts with an in-depth readiness evaluation. We assess your alignment with scientific data standards, FAIR principles, and regulatory frameworks to build a roadmap tailored to you.
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