Via Foundry / Foundry EDU

Via Foundry and Foundry EDU are two editions of the same integrated multi-omics analytical platform developed by Via Scientific, designed to eliminate bioinformatics bottlenecks and accelerate scientific discovery. Via Foundry targets biotech, pharma, hospitals, and research organizations with enterprise-grade data processing and analytics, while Foundry EDU delivers the same powerful bioinformatics engine to academic labs and research teams with instant self-service sign-up, built-in metadata management, and frictionless AI integration — no IT setup required. Both editions share a common foundation built for scalability, reproducibility, and speed.

The platform serves a broad community of scientists, bioinformaticians, and data science and AI teams, currently supporting thousands of scientists and hundreds of labs across academia, biotech, pharma, hospitals, and government. Whether driving drug discovery or decoding gene expression, every Foundry user works on the same trusted bioinformatics engine.

Experiment Design & Management

• Integrate NGS data, third-party datasets, published research data, and private organizational data simply and rapidly.
• Manage the accumulation of data and insights, building a continuously expanding results set for ongoing analysis.
• Support multi-year longitudinal studies involving thousands of patients across projects and labs.

Metadata Management

• Customizable metadata capabilities designed for multi-event, hierarchical data structures.
• Ensures complete data provenance, enabling fast querying to pinpoint exact datasets needed.
• Intuitive drag-and-drop interface combined with a powerful controlled vocabulary and ontology engine.
• Empowers scientists to capture and explore new dimensions of data as experiments evolve, supporting advanced modeling and analytics.

Workflows & Pipelines

• Create customized bioinformatics workflows and pipelines at speed with no coding required.
• Choose from a library of verified, ready-to-use processes and modules, or design custom workflows via an intuitive interface.
• Computational users can leverage a command-line interface (CLI), APIs, and SDKs for full platform flexibility.
• Supports everything from data preprocessing to advanced analytics, ensuring precision and reproducibility at every stage.

Data Import

• Ingest NGS data, published research data, or private data into Foundry with ease.
• Fully automate data import and processing functions to focus exclusively on results.
• Seamlessly manage any number of samples, from a single sample to tens of thousands and beyond.

Orchestration & DevOps

• Continuous integration, testing, and automated Docker container building.
• Direct integration with leading code repositories.
• Deploy and manage any number of pipelines across any computing environment.
• Instantly duplicate any run from any point in time with parameter and pipeline settings intact.

Analysis & Visualization

• Launch RStudio, Jupyter Notebooks, and Shiny apps (or any third-party web app) with relevant data pre-mounted and ready to use.
• Native visualization tools for QC, differential expression, and other interrogation tasks.
• Share results using FAIR standards and simplify compliance with NIH guidelines.
• Quickly change parameters and re-run analyses to expand results sets.

Key Benefits

• Accelerated discovery: Faster experiment cycles enable scientists to ask more questions and deeper questions.
• Reproducibility: Foundry generates and maintains institutional memory where all results are saved, reproducible, and all methods are reusable.
• Collaboration: Enables teams to securely collaborate and coordinate across projects and labs, including large-scale longitudinal studies.
• Flexibility and scalability: Future-proofs analytics while insulating users from the complexities of scaling and managing compute environments.
• Cost control: Frees bioinformatics, DevOps, and IT resources to focus on forward-looking tasks and deeper insights.

Compute Deployment Options

• vCloud: Secure, managed access via leading public clouds — no software installation, clusters, or technical teams required.
• xCloud: Integrate Foundry into an existing cloud infrastructure that the organization controls.
• xPrem: On-premises deployment for organizations running private clusters and infrastructure, designed for fast and simple setup.
• vPro: Full-service bioinformatics consulting for short-term and long-term project needs when internal demands exceed available bandwidth.

Via Foundry and Foundry EDU support the full spectrum of research roles — from bench scientists who can create pipelines and interrogate results without writing code, to bioinformaticians looking to multiply their bandwidth and focus on higher-order algorithms, to data scientists and AI teams requiring instant access to pre-mounted data and customizable metadata for modeling and hypothesis testing. The platform integrates with containerization technologies and version control systems to ensure security and reproducibility across all compute modalities.