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What is PhenoWorks?

Your data, analysis, and AI research assistant in one workspace.

The analysis of your latest field experiments reveals promising results. Months later, a colleague wants to try your pipeline on new data. Can you retrace the steps, recall the parameters, and explain how to run it again? PhenoWorks helps you turn raw multimodal sensor data into structured features and data artifacts using reusable analytical workflows. Saved run details, method versions, and outputs help you revisit your analysis and share the process with others. Along the way, the PhenoWorks Agent helps you explore your data, run available analyses, and make sense of the results. Just ask in plain language.

  • Bring your research data together

    Your study begins with data from many sources: a UAV flight, satellite images, environmental sensors, and observations in the field. PhenoWorks gives your raw multimodal sensor data a shared workspace. Bring it together with the studies, plots, and notes that tell the story of your experiment.

  • Turn raw data into structured features

    With your data in place, you can start turning it into something you can analyze. Build a reusable workflow that transforms raw sensor data into structured features for downstream analysis. When the next dataset arrives, apply the same pipeline to compatible data, keeping your process consistent and your analysis more reproducible.

  • Build a shared research knowledge base

    As results take shape, your research knowledge base grows. PhenoWorks stores and organizes your source data, extracted features, figures, and documents with their study context. When you or a teammate return to a finding, the evidence is there to help you understand it and take the next step.

  • Explore your data with the support of an AI assistant

    Now imagine an AI research assistant by your side as new questions emerge. Ask it to find a dataset, run an analysis, or help you understand an unexpected result. The PhenoWorks Agent draws on the data and tools connected to your workspace to support your next step, in plain language.

  • Trace your results back to the methods

    A promising pattern appears, and you want to know how it was produced. Follow the result back through its analysis steps, block versions, run logs, and saved outputs. You and your collaborators can check the methods before comparing results or building on the finding.

  • Turn your findings into research contributions

    Your findings are ready for the next chapter. Take structured features into your preferred statistical tools and notebooks, or ask the agent to help draft manuscript and grant sections from your results. Review the evidence, refine the story, and let what you have learned guide your next experiment.

Built for crop phenotyping, breeding programmes, and agronomy research. Open source and designed to run on your own infrastructure, with reusable analysis blocks you can extend as your research evolves.