Via Scientific

Via Scientific is a science-first bioinformatics company that delivers enterprise-scale multi-omics data processing and analytics to both commercial life sciences teams and academic researchers. Their core technology, Foundry, serves as an integrated bioinformatics operating system that unifies data management, processing, and analytics — enabling scientists to shift time away from development and process overhead and toward meaningful scientific discovery. Foundry is offered as Via Foundry for commercial organizations and Foundry EDU for academic labs, both powered by the same underlying platform. Via Scientific was built by scientists and bioinformaticians with decades of expertise in multi-omics analytics, and today supports thousands of scientists across hundreds of research labs and companies.

At its core, Foundry is designed to radically simplify and intelligently amplify every stage of the bioinformatics workflow — from raw data ingestion through advanced analytics — without requiring users to write a single line of code, while still offering deep technical interfaces for expert users.

Key Products

• Via Foundry — the commercial edition of the Foundry platform, purpose-built for enterprise life sciences teams requiring scalable, reproducible multi-omics analytics.
• Foundry EDU — the academic edition, providing the same powerful technology to university and research institution labs, including support for NIH grant compliance and FAIR data standards.

Core Platform Capabilities

• Multi-omics Analytical Accelerator: A fully integrated, AI-informed environment for metadata management, pipeline execution, data processing, and analytics, enabling multi-omics data fusion and deeper scientific insights.
• No-Code Pipeline Authoring: Scientists can author, control, and run fully customizable pipelines, metadata tracking, and analytics without writing code, saving weeks or months of development time. Integrated notebook, portal, orchestration, and management features keep focus on experiments and investigations.
• Reproducibility and Institutional Memory: Foundry automatically tracks and versions all changes to pipelines, parameter settings, and metadata, ensuring complete analytical provenance. Any run or result can be duplicated not just immediately but years into the future, and historical data and analytics can be quickly interrogated to explore changes across experimental conditions and time.
• Operational Efficiency and Computational Flexibility: Foundry supports deployment across any public cloud, private cloud, on-premises high-performance compute clusters, or hybrid combinations of these environments. It eliminates the complexities of data management and DevOps orchestration while optimizing operational and compute resource usage.
• Collaboration, FAIR Standards, and NIH Data Management Plans: Data and results sharing within Foundry is governed by FAIR standards. For researchers working with NIH grants, Foundry simplifies compliance with Data Management Plans.
• Foundry AI: An AI layer that amplifies human scientific expertise rather than replacing it. Features include on-demand coding support, AI-powered research access, in-line explanations for rapid knowledge building, and an intuitive chat interface for exploring and manipulating results — all seamlessly integrated into the workflow to bridge code, process, and knowledge gaps.
• Flexible Command and Control Interfaces: Foundry provides a modern GUI for intuitive point-and-click navigation, a powerful CLI for coding experts, and full programmatic access through a comprehensive SDK and API, adapting to any user's preferred workflow.
• Orchestration and Infrastructure: Built on Docker and Kubernetes-powered containerization with integrations for GitHub and Bitbucket, Foundry delivers smooth, scalable orchestration and handles underlying infrastructure complexity so teams can innovate and collaborate faster.
• Unlimited Analytics and Visualization: Foundry includes integrated visualization and analytics tools and provides native access to industry-standard environments including RStudio, Jupyter Notebook, and Shiny Apps — all within the platform, eliminating tool-switching and streamlining workflows for everything from complex dataset visualization to advanced modeling and analysis.

Deployment and Integration Details

• Supports any public cloud, private cloud, on-premises HPC clusters, or hybrid deployments with consistent orchestration across environments.
• Containerized infrastructure via Docker and Kubernetes for scalability and portability.
• Source control integrations with GitHub and Bitbucket.
• Embedded analytics environments including RStudio, Jupyter Notebook, and Shiny Apps.
• Full API, SDK, and CLI access in addition to a graphical user interface.

Via Scientific's Foundry platform is purpose-built to serve the full spectrum of life sciences researchers — from individual academic investigators to large commercial R&D organizations — providing the speed, scalability, reproducibility, and AI-powered intelligence needed to turn complex multi-omics data into extraordinary scientific insights.