
DNAStack
Federated data analysis and AI-powered insights for omics and health data across distributed networks, compliant with GA4GH standards.
Overview
DNAstack is a Canadian life sciences software company offering Omics AI, the world's first federated insights platform purpose-built for omics and health data. The platform enables data custodians, researchers, and institutions to connect, protect, share, and derive AI-powered discoveries from distributed datasets — all without moving sensitive data and in full compliance with open industry standards established by the Global Alliance for Genomics & Health (GA4GH).
DNAstack serves a broad range of stakeholders across the life sciences ecosystem, including national genomics programs, academic research networks, and international consortia working in areas such as infectious disease surveillance, neuroscience, rare disease, and oncology. The platform is designed to act as an operating system for the omics industry, making federated data uniformly findable, accessible, and analyzable at scale.
Core Products
- Workbench: A standards-compliant solution for analyzing omics and health data within a researcher's own environment, enabling secure, in-place computation without requiring data transfer.
- Publisher: A tool for connecting, protecting, and sharing omics and health data over open industry standards, consolidating data governance and sharing workflows in a single platform.
- Explorer: A brandable, user-friendly portal that brings together federated datasets and makes them uniformly findable, accessible, and analyzable across distributed networks.
- Workflows: A module supporting the execution and management of bioinformatics workflows as part of the broader Omics AI suite.
Federated Network Capabilities
- DNAstack powers global and national federated research networks, enabling collaborative discoveries across institutions without centralizing sensitive data.
- Viral AI: A global federated network for pandemic surveillance that has processed and shared over 1.6 million SARS-CoV-2 genomes, supporting organizations such as Genome Canada.
- Neuroscience AI: A federated network accelerating collaborative research in neuroscience across distributed datasets.
- ASAP & MJFF: A network supporting research initiatives in partnership with the Aligning Science Across Parkinson's (ASAP) initiative and the Michael J. Fox Foundation.
- HiFi Solves: A federated dataset initiative developed in partnership with PacBio to build the first global federated dataset of HiFi whole genome sequences.
Standards, Privacy, and Security
- Omics AI is built on open standards developed by the Global Alliance for Genomics & Health (GA4GH) and other internationally recognized standards bodies, ensuring interoperability across global research networks.
- All products are designed with privacy and security as foundational principles, helping customers comply with international privacy regulations and standards.
- The platform enables sovereign, cloud-based genomic data processing, as demonstrated by its deployment for national-scale viral sequencing programs.
- DNAstack introduced Questions, a feature designed to improve health outcomes through real-time global collaboration.
Recognition and Milestones
- Recipient of the 2024 Health Privacy Leadership Award from the Canadian PICCASO Awards.
- Named Company of the Year in 2023 for its breakthrough software platform enabling AI-powered insights across distributed genomics and health data.
- Recognized as a Technology Pioneer in 2022 for establishing federated data networks and powering insights in pandemic surveillance, neuroscience, rare disease, and oncology.
- In 2025, DNAstack led a consortium that launched a $17.5 million initiative to advance AI in genomics and health.
Developed with pride in Canada and supported by DIGITAL and ISED, DNAstack is co-founded and led by a multidisciplinary team of scientists, engineers, and industry experts committed to transforming health by saving and improving the lives of millions through open, federated data science.