Solutions / Research and custom workflows
Find study observations, bring your measurements, and investigate methods with AI assistance. Keep inputs and analytical steps available for review, then share a dataset, report, or custom app for working with the results.
Explore a workflow for this industry. The app preview uses illustrative data; contact us to discuss your own sites, requirements and access.
The work you need to do
Search study areas and periods. Compare open and commercial products against the required bands, resolution, quality, and permissions before acquisition.
A documented collection of observations or an acquisition request.
Combine observations with field measurements, compare processing choices, or reproduce a calculation. Ask the assistant to prepare and execute the analysis.
Recorded results with inputs, parameters, and validation notes.
Turn a reviewed analysis into a focused interface for collaborators. Choose the parameters they can change and the evidence they need to interpret an output.
An optional app for repeated exploration or team handover.
01 / Acquire the data
Define study sites anywhere on Earth and the dimensions your method needs. Find open archives, order commercial data, or assess a new collection. Confirm coverage and terms; acquiring the dataset can complete the task.
Just need the data? Acquiring it is a complete outcome. Use delivered files in your own tools where the license permits, or continue with analysis and apps in Milkypad.
02 / Run your own analysis
Use a prepared method or investigate a custom analysis with its assumptions and checks visible.
Specify the question, quantity, study areas, reference data, and comparisons. Define the evidence needed to evaluate the method.
Acquire observations and add your measurements. Check coordinates, timestamps, units, and processing steps. Confirm which observation represents each field or laboratory sample before analysis.
Ask the assistant to run the analysis or compare settings. Check outputs against reference calculations or measurements and record limitations.
Export permitted results with their method context. Create an app for collaborators to explore accepted results or rerun supported work.
03 / Build and customize your app
A proposed no-code interface for comparing study areas, observations, and reviewed methods without requiring collaborators to operate the analysis code.
Explore a prepared example
01 / Data inputs
Specify the study area, observation dimensions and reference measurements. Preserve the metadata needed to understand how the sources can be compared.
02 / Review a layer
The highlighted cells and unscaled curves illustrate a research comparison, not measured values. Inspect assumptions, processing choices and independent checks.
03 / Use an app
An app can link study locations to selected inputs, comparison views and method notes so collaborators can inspect and extend the work.
Prepared scenes and records show how a workflow could look. These are illustrative locations and layers, with no live data or analysis.
Build a study explorer with site and date selectors, approved method settings, reference measurements, and exports that identify the inputs and run behind each result.
Describe the tool and the changes you need in ordinary language. The AI assistant helps build it; colleagues use the resulting maps, tables, and controls without writing code.
Explore App BuilderMaps, charts, and tables that identify the observations and method settings used in each comparison.
Inputs, parameters, code or recipe version, and validation notes retained with the analytical result.
A permitted dataset or report containing units, dates, source references, and enough context for the receiving researcher.
Use the result with context
Validate completed calculations against method assumptions and independent references. Record the conditions supporting each interpretation, including unresolved limitations, before sharing results through an app.
Questions for your workflow
Yes. Custom analyses and customer data are in scope. Record input requirements, dependencies, expected output, and validation evidence to make the work reviewable and repeatable.
The app can expose a bounded set of controls around a reviewed method. Collaborators can select inputs and inspect results while method development and scientific interpretation retain appropriate specialist review.
Check the source license for redistribution, derived-product, and attribution requirements during acquisition. Rights to publish a chart may differ from rights to distribute its source imagery.
Milkypad for research & custom workflows
Tell us the study question, observation requirements, available reference data, and whether you need acquisition, analysis, or a tool for collaborators.
Discuss your requirements