
ARIA
Harmonize and securely share clinical 'omic data with rapid querying and analysis for research discovery.
Overview
ARIA is Velsera's data harmonization and secure sharing platform designed to simplify the assembly, management, and exchange of curated clinical 'omic data. It serves two distinct audiences: data generators — such as clinical diagnostic laboratories, patient registries, non-profits, and government agencies — who need to securely ingest and share their clinical-genomic data, and data consumers — including biotech, pharma, academia, and government researchers — who need rapid, analysis-ready access to pre-assembled multi-omic datasets without spending time on preprocessing.
In the era of data-driven medicine, ARIA provides a centralized, modular solution capable of handling the complexities of multi-omic data analysis at any scale, from focused investigations to population-scale studies. Its semi-automated, tool-assisted data ingress, harmonization, and assembly capabilities give organizations the flexibility and scalability needed to uncover transformative insights.
Capabilities for Data Generators
- Secure data sharing — ARIA enforces dataset-level permissions, ensuring sensitive research data remains protected and accessible only to authorized users.
- Comprehensive compliance — the platform adheres to the highest regulatory and security standards, including GDPR, FedRAMP (moderate), FDA, AICPA SOC 2, dbGaP, ISO 9001, 27001, 27017, 27018, 27701, and HIPAA.
- Accelerated data ingestion — leveraging tool-assisted, semi-automated ingestion technology supported by expert data harmonization teams, ARIA reduces data ingestion time from days to hours.
- Internal and external value creation — diagnostic labs and registries can use harmonized data for internal strategic and operational insight, or commercialize it externally to generate new revenue streams.
Capabilities for Data Consumers
- Genomic queries in seconds — identify significant genetic variations and associations across entire genomes in real time, with a reported 99.8% reduction in query times, accelerating therapeutic discovery.
- Rapid cohort exploration — analyze phenotypic and genotypic data based on complex variables and longitudinal records.
- Flexible algorithms — use pre-built tools or custom workflows to conduct in-depth genomic research, including association studies and advanced modeling.
- Optimized research pipelines — standardize schemas and integrate data seamlessly for smoother analysis regardless of scale or complexity.
- Interactive visualizations — gain deep insights into variant data through instant visual outputs, enabling faster and more accurate hypothesis generation and validation.
- Customizable to evolving needs — adapt ARIA to unique research challenges, whether conducting feasibility studies or complex downstream analyses.
- Cloud-based collaboration — teams can share insights and data securely across geographies, maximizing collaborative research efforts.
Customer Segments and Use Cases
- Clinical diagnostic laboratories — unlock the value of data already generated by harmonizing scattered, siloed, and unstructured clinical-genomic information for commercialization or internal decision-making.
- Non-profits and government agencies — assemble and share harmonized data with researchers to increase research impact, scale discovery work, and generate new revenue streams.
- Biotech and pharma — access novel, pre-assembled data sources to advance research priorities, with Velsera's expert bioinformaticians and technology teams customizing solutions to reduce time spent on low-value preprocessing tasks.
ARIA is a cloud-based platform built to support clinical and 'omic data unlock initiatives, enabling organizations to move from raw, fragmented data to actionable research insights. Its design supports seamless integration with existing workflows and is backed by Velsera's expert data harmonization teams, making it suitable for organizations seeking both technical rigor and regulatory compliance in their data sharing and discovery programs.

