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    Bioprocess Development
    Software for R&D Teams

    Get a better handle on your upstream data and downstream miniaturized purification workflows in the Synthace experiment platform.

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    How Synthace Helps Improve Your Bioprocess Development Cycle

    Upstream
    Downstream
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    Take Control of Upstream Bioprocessing Data

    Users across your organization can inspect pseudo-chromatograms as soon as your experiment is done. Our data management functionality aggregates and structures data and metadata from multiple sources throughout your lab, whether online or offline. Increase speed-to-insight, reduce costs with better quality datasets, and make it easier to produce publication-ready visualizations.
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    Create Miniaturized Purification Workflows With Contextual Data

    The Synthace platform is compatible with popular miniaturized purification systems like the Tecan Te-Chrom™ and Repligen’s OPUS® RoboColumns®. Lower barriers to automation with simple drag and drop tools, simulate purification steps in advance and see your entire experiment in silico, in the cloud.

    Bioprocess Development Without Synthace

    Slow Time-to-Insight, Fractured Data, Error-Prone

    • Fractured data across multiple machines, difficult to wrangle and bring together
    • Lower integrity data output due to data wrangling, harder to meet FAIR data principles
    • Slower developmental iterations because of increased manual interventions
    • Increased costs due to incomplete datasets and errors

    Bioprocess Development With Synthace

    Faster Time-to-Insight, Structured Data in One Place, Reduced Error

    • Unify your data from multiple sources, and store it in the cloud in structured datasets
    • Automatic data aggregation and structuring brings high integrity, FAIR data practices
    • Discover time and cost savings because of greater automation capabilities, less error
    • Lower costs due to reduced error and more complete datasets

    Advantages for the Whole Team

    Synthace transforms what's possible at every stage and gives you the edge, no matter what you do. Unlock new potential with an experiment platform that's been built with R&D in mind.

    Scientist

    Get a better handle on your data where it matters most, upstream or downstread

    Automation Specialist
    R&D Leaders

    Get a better handle on your data where it matters most, upstream or downstread

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    Run FAIR Data Experiments

    Synthace captures experiment metadata, providing an enriched dataset alongside your analytical data, improving quality—something that matters now more than ever. Improve the findability, accessibility, interoperability, and reusability of your data in a scalable way across your team.

    Building and planning experimental campaigns can be a long process. It doesn’t need to be.

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    Integrate and Connect Your Lab

    Increase productivity and improve reproducibility. Whether you’re building a miniaturized purification workflow or a downstream analytical assay, Synthace keeps track of everything so you can tie your data back to your samples and experiments. No prior knowledge required: just build, simulate and run.

    Help your team alleviate data headaches in less time, and at lower cost

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    Move Faster With Better Data

    Progress relies on insight. Insights rely on data. Well-structured, easy to work with, and simple to share among your team, Synthace can significantly improve the quality and reliability of data for your bioprocess development R&D teams.

    How Will You Use Synthace?

    Synthace can be used in both upstream and downstream applications to help with bioprocess data and miniaturized purification.

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    • Bioprocess-Data@2x_NEW

      Bioprocess Data Management

      Make FAIR data a reality—every sample tracked through every step, with all of your data and metadata structured securely in the cloud.

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    • Bioprocess-Robo@2x_NEW

      Miniaturized Purification

      Easily update purification protocols, link your data back to bioprocessing samples, view pseudo-chromatograms, and do cherry picking in a single platform.

      Read More