Pipeline Pilot
Design, automate and scale scientific data workflows in a no-code environment
Pipeline Pilot Overview
BIOVIA Pipeline Pilot is an enterprise scientific informatics platform that lets researchers design, automate and scale data workflows—without writing code. A visual, component-based authoring environment combines with powerful backend services to integrate data from any source, run analytics and modeling, and publish results as reusable protocols, dashboards or web applications. Pipeline Pilot is widely used across pharmaceuticals, biotechnology, chemicals, materials science and consumer products R&D.
Collections in Pipeline Pilot
Domain-specific component collections for every scientific discipline
- Calculate, predict and filter on molecular properties (logP, PSA, drug-likeness and more)
- Standardize, de-duplicate, salt-strip and register compound libraries
- Build and apply QSAR models for activity, ADMET and physicochemical endpoints
- Run similarity, substructure, scaffold and clustering searches at scale
Frequently Asked Questions
What kinds of scientific data can Pipeline Pilot work with?
Pipeline Pilot handles chemistry data (molecules, reactions, libraries), biology data (DNA, RNA, protein sequences, next-generation sequencing), images (microscopy, high-content screening), tabular scientific data, plate-based laboratory data, and text or unstructured content.
Do I need to know how to code to use Pipeline Pilot?
No. Pipeline Pilot is designed for scientists, not programmers. Workflows are built visually by dragging components onto a canvas and connecting them. Coding is optional—when needed, you can drop in Python, R, MATLAB or PilotScript snippets, but most users build complete production workflows without writing a single line of code.
Is there training for Pipeline Pilot?
Pipeline Pilot is a visual programming machine learning software that's easy to use even for first time users. And we also offer free online learning materials for students and teachers, as well as paid instructor-led training for those who want a more hands-on learning experience.
Resources
BIOVIA Pipeline Pilot brochure
Builds scientific data pipelines from ready made components, then runs them across chemistry, biology and imaging data.
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Pipeline Pilot: What You Need to Start a Machine Learning Scientific Project
What a scientific machine learning project needs in Pipeline Pilot, from preparing the data to building and validating the model.
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BIOVIA COSMOsuite datasheets
Property prediction for molecules in liquids with COSMO-RS. Datasheets for COSMOtherm and the four tools that go with it.
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Optimizing Battery Research and Development (R&D) Lab Processes
How battery research labs improve accuracy and throughput by connecting lab workflows, data management and testing in one system.
Read moreTraining on Pipeline Pilot
Official Dassault Systèmes courses, taught by certified instructors in person, at your offices or online.
