One Question. Complete Intelligence. Instantly.

The AI Agent That Does Satellite Analysis for You

Ask any question about what is happening anywhere on Earth. Klarety's AI agent writes the code, queries the satellites, runs the full analysis, and hands you back the answer with every chart, map, model, and source included.

No GIS training or coding requiredEvery major satellite source, chosen automaticallyFull output in minutes, not weeksEvery result cited, auditable, and reproducible

How It Works

From plain English to complete spatial intelligence

01

You ask a question in plain English

No technical language. No satellite names. No dataset IDs. Just describe what you want to know, the same way you would ask a colleague. Examples from real users: 'What is the shipping volume at Singapore port this week?', 'Is the corn crop in Iowa stressed heading into harvest?', 'Track construction at this oil refinery in Kuwait', 'Monitor deforestation in the Amazon over the past 5 years', 'Which retail locations are showing reduced foot traffic this quarter?', 'Model flood risk for our infrastructure assets in Miami.'

02

AI agents take over and execute everything

A swarm of AI agents autonomously selects the right satellite sources for your question, writes Python code from scratch to process the imagery, executes that code in a fully managed sandboxed environment, computes every relevant analysis (spectral indices, change detection, object detection, statistical modeling, machine learning pipelines, time-series forecasting, and more), pulls real-time news and public data to cross-reference satellite findings, and builds all charts, maps, and visualizations. You do nothing technical.

03

You receive a complete, cited, decision-ready output

Not a link to raw data. Not a dashboard preset. The actual executed package: all satellite imagery processed, all statistical models built and run, all charts generated, findings written in plain English, every source cited with links, and all files downloadable in GeoTIFF, GeoJSON, CSV, SHP, KML, and Python formats. Every number traces back to real code that ran against real satellite data. One prompt on Lake Tahoe's drought risk produced 32 output files automatically.

Technical Specifications

Institutional-grade metrics and outputs

Satellite Sources

Sentinel-1 SAR, Sentinel-2, Landsat, NAIP, MODIS, Copernicus, NASA Earth data, ERA5-Land, and more, all auto-selected

Historical Coverage

Landsat archive goes back to 1972, over 50 years of Earth observation data

Update Frequency

4 to 6 day repeat coverage globally, daily MODIS, SAR all-weather any time

Change Detection Accuracy

95% or higher, validated through high-resolution case studies

Output Formats

GeoTIFF, COG, GeoJSON, SHP, GPKG, KML, CSV, JSON, PNG, Python files, statistical models

Execution Speed

Most analyses delivered in minutes. One prompt on Lake Tahoe produced 32 files in a single session.

What one question actually produces

“A single prompt, "Check water levels in Lake Tahoe basin and predict drought impact for the 2026 season," produced 32 output files automatically.”

Sentinel-2 true color composite satellite imagery
NDWI water detection maps across the basin
MODIS snow cover maps for the current season
Historical snow cover comparison: drought year vs. wet year
6-year precipitation history charts
Custom-built drought index gauge (statistical model)
Land surface temperature maps
Vegetation health (NDVI) and moisture (NDMI) maps
Probabilistic scenario forecasts for the 2026 season
Multi-panel water status dashboard
Multi-sector risk assessment matrix
Real-time sentiment analysis from official water authorities
Complete methodology document with mathematical formulas
Full calculations log: derivation of every single number
Executive summary report with strategic recommendations
All downloadable files: GeoTIFF, GeoJSON, CSV, JSON, Python

This is equivalent to deploying an S&P Global quantitative analyst, a Bloomberg data researcher, a BCG strategy consultant, a GIS specialist, a data scientist, and a report designer, all working simultaneously, for weeks. Klarety executed it from one question.

Agent Capabilities

Everything you need, executed autonomously

01
Artificial Intelligence

Every Satellite Source, Chosen Automatically

Klarety agents access all major publicly available Earth observation sources: Sentinel-1 SAR for all-weather and night-time analysis, Sentinel-2 optical at 10m resolution, Landsat going back to 1972, MODIS for daily global coverage, NAIP for sub-meter US imagery, NASA SMAP soil moisture, GRACE groundwater, GPM precipitation, ERA5-Land climate reanalysis, Copernicus datasets, and more. You never specify a satellite. You never configure a data source. Agents choose what is right for your question and pull it automatically. Multiple sources are used together to corroborate every finding.

02
Features

Any Analysis a World-Class Analyst Would Run

Agents are not limited to a preset menu. They compute any analysis relevant to your question: spectral indices including NDVI, NDWI, NDMI, and NDSI; image segmentation and object detection; building footprint and road network detection; change detection across any time period; time-series analysis; machine learning classification pipelines; flood simulation and watershed modeling; anomaly detection; scenario forecasting with probability distributions; correlation and regression analysis; and full statistical validation with confidence intervals. If a geospatial expert or quantitative analyst could run it, Klarety's agents execute it automatically.

03
Productivity

Real-Time Intelligence Fused With Satellite Data

Satellites show what is physically happening. Real-time intelligence shows what it means right now. Klarety agents pull live news, official reports, social sentiment from X and public platforms via xAI, and current public data, then cross-reference those findings with satellite analysis automatically. A spike in port traffic paired with current commodity market news. Oil storage levels paired with EIA report context. Crop stress imagery paired with weather authority announcements. Satellite evidence plus the world's current context, fused in one output.

04
Features

Your Own Data, Inside the Analysis

Upload your proprietary datasets in CSV, GeoJSON, GeoTIFF, SHP, GPKG, or KML format and reference them in any analysis using the @layername syntax. Your internal asset locations, portfolio sites, field boundaries, or custom layers are instantly incorporated alongside global satellite and real-time data. No pipeline. No data engineering work. Tag it and agents use it. Your proprietary intelligence becomes part of the analysis automatically.

05
Productivity

Scheduled Monitoring That Runs Without You

Set up any analysis as a recurring automated agent job. Agents run on your cadence, daily, weekly, or monthly, monitor your defined regions or assets, detect changes, and surface complete executed analyses on schedule. Monitor a competitor facility for construction activity. Track crop stress across agricultural assets every 4 to 6 days. Detect vessel activity in a maritime zone daily. Run a full financial site analysis every Monday. You define the question once and agents keep the intelligence current without any manual work.

The Klarety Advantage

Transform how your team accesses spatial data

Minutes, not weeks

for institutional-grade satellite analysis

Zero technical knowledge required

any team member can run a full analysis

Every output fully cited

code, data, methodology, and sources all shown

Any industry, any question

finance, trading, agriculture, mining, defense, infrastructure, climate

Customer Success Stories

See how industry leaders are leveraging autonomous analysis

  • "Our team can now analyze satellite data directly instead of waiting weeks for consultant reports. A portfolio manager types a question and receives a complete alternative data analysis the same day."
    Sarah ChenPortfolio Manager, Meridiane Capital
  • "We monitor our mining sites and get weekly extraction activity estimates that used to take our data team two weeks to compile. One question, full satellite analysis, ready to act on."
    James ChenRemote Sensing Manager, Environmental Consulting Corp
  • "Our policy students can now do spatial analysis without needing our GIS specialist for every project. They ask a question in plain English and receive results with full methodology attached."
    Dr. Michael TorresPublic Policy Institute, Yale University
  • "We track crop stress across our agricultural assets every 4 to 6 days. Agents run the full analysis automatically and alert us to anything significant. The monitoring never stops."
    Dr. Sarah MitchellEnvironmental Director, AgriTech Solutions

Frequently Asked Questions

Everything you need to know about Klarety and our satellite analysis platform.

Klarety's AI agent is an autonomous execution system that takes a plain-English question about any location on Earth and does the full satellite analysis automatically. You describe what you want to know. The agent selects the right satellite data sources, writes Python code to process the imagery, executes that code in a fully managed environment, runs statistical models and forecasts, pulls real-time news and public data to add context, and returns a complete output with maps, charts, methodology, source citations, and all downloadable files. You contribute the question. The agent does everything else.
No. Klarety's AI agent is designed so that any analyst, investor, operations manager, researcher, or decision-maker can use it without any technical background. You type your question in plain English, the same way you would ask a colleague. The agent handles satellite selection, data processing, code writing, code execution, statistical modeling, and report generation automatically. GIS specialists use Klarety to multiply their output. Non-technical users use it to get satellite intelligence they could never access before.
Klarety agents automatically access all major publicly available Earth observation sources. This includes Sentinel-1 SAR for all-weather and night-time analysis, Sentinel-2 optical imagery at 10 meter resolution, Landsat historical data going back to 1972, MODIS for daily global coverage of temperature, vegetation, and snow, NAIP for sub-meter resolution across the United States, NASA SMAP soil moisture, GRACE groundwater, GPM precipitation, ERA5-Land climate reanalysis, Copernicus Land Monitoring datasets, Microsoft Planetary Computer, and more. You never specify a satellite or dataset. The agent chooses what is right for your question and accesses it automatically.
ChatGPT and general AI assistants work from training data. They can explain what satellite analysis is, describe how NDVI works, or summarize what they know about a topic. They cannot access real satellites, write and execute live code against real data, or produce findings based on what is physically observable on Earth right now. Klarety agents connect to actual satellite sources, execute real Python code in a live sandboxed environment, and return outputs based on current physical reality. Every result includes the code that ran, the data it accessed, and full citations. Nothing is inferred from training data.
A complete executed output package. This includes all satellite imagery pulled and processed for your question, all spectral indices and statistical models computed, all charts and maps generated, findings written in plain English with narrative explanation, every source cited with links, all Python code that the agent wrote and executed, a complete methodology document, a calculations log showing how every number was derived, and all results downloadable in standard formats including GeoTIFF, GeoJSON, CSV, SHP, KML, and Python files. A single prompt about Lake Tahoe's water levels and 2026 drought risk produced 32 output files automatically.
Yes. You can configure any analysis as a scheduled automated job using Klarety's cron scheduling. Agents run on your defined cadence, daily, weekly, or monthly, execute the full analysis each time, detect changes, and surface results without any manual work from your team. This is how teams monitor competitor facilities, track crop stress every 4 to 6 days, watch maritime zones for vessel activity, and run financial site assessments on a recurring basis. You set it up once and agents keep the intelligence current continuously.
Klarety serves any industry that needs to understand what is happening on the physical Earth. Current users include hedge funds and asset managers generating alternative data signals for investment decisions, commodity traders tracking port activity and storage levels, agricultural companies monitoring crop health and forecasting yields, mining companies tracking extraction and stockpile activity, defense and intelligence teams monitoring infrastructure changes, real estate investors running site analysis and market forecasting, infrastructure and construction firms tracking project progress, climate researchers verifying environmental conditions, and government and policy organizations monitoring land use and disaster response. The common thread is that all of them can now ask plain-English questions and receive satellite-backed intelligence in minutes.
Klarety's change detection algorithms achieve over 95 percent accuracy, validated against high-resolution case studies. Every analysis includes confidence intervals and statistical validation. Agents use multiple satellite sources to corroborate findings wherever possible, so no single data source determines the conclusion. All code is shown and all methodology is documented, so results are fully auditable and reproducible by any expert who wants to verify the work.

Ask Your First Question. Get Back Complete Satellite Intelligence.

Any location. Any industry. Any question. Klarety's AI agents do the full analysis and hand you back the answer with every chart, map, model, and source ready to act on.