Klarety for Research

Satellite-scale evidence for your next paper, in minutes.

Ask a research question in plain English. Klarety's AI agent pulls real satellite and geospatial data, runs the analysis, and returns findings with every number traced back to its source, ready for a methods section.

Talk to our research teamSee a real citation
Klarety AI Assistant on the map workspace answering a geospatial question

01 / The problem

Remote sensing data is public. Using it rigorously is not easy.

Sentinel, Landsat, and MODIS archives are free and public. Turning them into a defensible result still takes a GIS specialist, weeks of preprocessing, and code your committee has to trust.

The data is not the bottleneck

Public archives cover the whole planet. Processing them correctly is what takes time.

Rigor cannot be shortcut

A result without a traceable source or method does not survive peer review.

One researcher, many roles

Data engineer, GIS analyst, and statistician, often all one person, on a deadline.

02 / Methodology and citations

Every number, traced back to its source.

Klarety's agent is built to cite, not assert. If a claim cannot be traced to a source, it does not get written into the result.

  • Cited by default

    Every figure carries a source: a scene ID, a dataset, or a calculation, not a bare number.

  • The code is not hidden

    The analysis that produced a result is visible while it runs. Nothing is a black box.

  • Documented methodology

    Each analysis ships with a methodology record, the kind a methods section already expects.

Example, from a real analysis

“Mean NDVI across the study area increased to 0.582 (+4.9% vs. the 2021–2025 seasonal mean of 0.554), consistent with early-season canopy recovery.”

Source: Sentinel-2 L2A, NDVI composite, Jan–Apr 2026

03 / Data sources

Built on the archives your field already trusts.

Klarety draws on the same public satellite and geospatial archives already cited in peer-reviewed research, unified into one place you can query directly.

Sentinel-1 (SAR)
All-weather, day-and-night radar imaging
Sentinel-2
Optical, multispectral, 10m resolution
Landsat 8/9
Multidecadal optical archive
MODIS
Daily global coverage
NAIP
High-resolution US aerial imagery, 2003 to present
Copernicus DEM
Global elevation model
NASA EMIT
Hyperspectral imaging
ICESat-2 and SWOT
Elevation and surface water altimetry

04 / How it works

Ask your question. Watch the analysis run.

Klarety's AI agent writes and runs its own code against real satellite data, live. You see the analysis as it happens, not just a finished chart.

NDVI analysis of the Mekong Delta showing vegetation anomaly versus a five-year historical mean
Sentinel-1 SAR multi-pass time series across eleven scenes with orbit and pass metadata

05 / Longitudinal research

Built for research that spans years, not one snapshot.

Track change across a full time series, multiple satellite passes, multiple seasons, multiple years, with each pass logged and comparable to the last.

06 / Compute

Serious compute, without a lab budget.

Large raster jobs and heavier models run on powerful, on-demand GPUs through our partner Lightning AI. You never manage a cluster or wait on a shared department server. Lightning AI.

07 / Data handling

Your research data, kept private and yours.

Unpublished results and sensitive study areas deserve real protection. Your data is never shared, and it is always yours to export.

Private LLM

Available for institutions, so your data never reaches a third party.

Encrypted everywhere

Your data is encrypted at rest and in transit.

Always yours

Export your data anytime, in open formats, no lock-in.

Frequently Asked Questions

Everything you need to know about Klarety AI and custom geospatial pipelines.

Get started

Bring your research question. See the evidence.

Tell us what you are studying. We will show you Klarety running a real analysis on it.

Talk to our research teamExplore Klarety AI