BIOVIA Pipeline Pilot

Accelerate Innovation in Science and Engineering with AI and Machine Learning

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Features | FAQ | Resources

Analytics is the key to unlocking meaningful patterns in data. In science based industries it requires awareness of complex data types to process large chemical, genomic, proteomic, textual and image data streams. BIOVIA Pipeline Pilot’s capabilities harness multiple disciplines to help organizations understand complex systems and decipher everything from molecular behavior to optimal production processes. Simplify your data science workflow.

The Analytics and Machine Learning Collection for Pipeline Pilot gives you the tools for everything from data ingestion, cleaning and exploration, to model building, validation, deployment, optimization, and design of future experiments – all in a single environment.

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Why Choose Pipeline pilot

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Build on a robust framework for model building, validation and deployment

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Utilize a comprehensive set of pre-implemented prediction algorithms

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Data pipelining architecture scales to enormous data sets

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Use code-optional drag and drop, or write your own scripts in R or Python

Key Features

Our algorithms are designed to work with various numerical, chemical, biological, textual, and image data types

Employ custom, domain-specific analyses with a library of curated scientific component collections

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Build better models with our built in validation techniques

Easily interpret model results with interactive visualizations

Increase your odds of success with tools that ensure models are applied properly when making predictions

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All models are automatically saved in Pipeline Pilot for easy re-use, sharing or deployment

Deploy models across BIOVIA and 3rd party applications or as web services to achieve faster, more efficient processes to drive innovation

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FAQ

Is there training available for Pipeline Pilot?

BIOVIA Pipeline Pilot offers multiple training options. For beginners, we provide free online learning materials tailored for students and educators. For a more hands-on experience, we offer instructor-led training programs that dive deeper into machine learning and data science applications.

How does Pipeline Pilot compare to other machine learning applications?

Unlike general-purpose machine learning tools, Pipeline Pilot is designed specifically for scientific data in fields like biology, chemistry, and materials science. This focus reduces the need for custom development, making it the ideal choice for integrating machine learning into research and scientific workflows.

Can Pipeline Pilot handle computer vision tasks?

Yes, BIOVIA Pipeline Pilot includes a set of components and protocols for image processing and computer vision. It allows scientists to integrate imaging data with other data sources, apply machine learning and deep learning frameworks, develop predictive models, and automate image analysis to save time on repetitive tasks.

How secure is Pipeline Pilot for handling sensitive research data?

BIOVIA Pipeline Pilot provides robust security features for handling sensitive data. It supports secure data transmission, encryption, and access control, ensuring that your research data is protected according to the highest standards, which is critical for industries like pharmaceuticals and biotechnology.

Start Your Journey

Learn more about BIOVIA Pipeline Pilot to accelerate your innovation in science and engineering.

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Whitepaper

Quantifying the Value of BIOVIA Pipeline Pilot

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Datasheet

BIOVIA PIPELINE PILOT OVERVIEW

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Blog

Pipeline Pilot: What You Need to Start a ML Scientific Project

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Get In Touch With Us

Anything on your mind. We will be glad to assist you!

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