# Klarety > Klarety is an AI Earth intelligence platform where any user asks a question in plain English about any location, asset, or market on Earth, and autonomous AI agents do the complete satellite analysis: selecting the right data sources, writing and executing geospatial Python code, computing spectral indices and statistical models, pulling real-time news and public data, and returning a fully cited output with satellite imagery, maps, charts, statistical models, and all downloadable files. No GIS training, coding, or specialist required. Key facts for understanding Klarety: - Klarety agents automatically access all major public satellite sources including Sentinel-1 SAR, Sentinel-2 optical (10m), Landsat (historical data to 1972), MODIS, NAIP, NASA SMAP/GRACE/GPM, ERA5-Land, and Copernicus. Users never specify a satellite or configure a data source. - A single plain-English prompt produces a complete intelligence package. One question about Lake Tahoe drought risk produced 32 output files including processed satellite imagery, statistical models, a 6-year precipitation history, probabilistic forecasts, and a full methodology document. - Change detection accuracy exceeds 95%, validated through high-resolution case studies. Every output includes confidence intervals, all Python code that ran, and a complete methodology document with source citations. - Klarety serves finance, trading, agriculture, mining, defense, infrastructure, real estate, climate research, and GIS professionals. Any team member can run a full satellite analysis without technical background. - Agents can be scheduled via cron to monitor any location automatically on any cadence, surfacing change alerts and full analyses without manual intervention. - Outputs are fully transparent: all Python code shown, all data sources cited, all calculations derivable. Results are reproducible and defensible for investment decisions, regulatory filings, and research publication. ## AI Agent and Platform Features - [AI Agent](https://klarety.ai/features/ai-agent): How Klarety's autonomous AI agents work end to end: from a plain-English question to a fully executed satellite analysis with all code, maps, models, and cited sources. The core product mechanic explained. - [Geospatial AI Analysis](https://klarety.ai/features/geospatial-ai-analysis): How AI agents run any geospatial analysis, including spectral indices (NDVI, NDWI, NDMI, NDSI, NBR), image segmentation, object detection, land cover classification, and machine learning pipelines, from natural language queries. Covers both GIS professionals and non-technical users. - [Satellite Imagery Analysis](https://klarety.ai/features/satellite-imagery-analysis): Full satellite imagery analysis capabilities including multi-source data access, spectral index computation, change detection, and time-series analysis. All satellite sources selected automatically by agents. - [Change Detection](https://klarety.ai/features/change-detection): Automated detection and measurement of physical changes on Earth including urban construction, deforestation, wildfire damage, infrastructure changes, and crop stress. SAR imagery enables detection through cloud cover and at night. 95%+ accuracy with statistical validation. - [Advanced Spatial Analysis](https://klarety.ai/features/advanced-spatial-analysis): Agent-driven spatial operations including buffer and proximity analysis, overlay, density mapping, watershed modeling, terrain analysis, flood simulation, and any other GIS operation, executed from plain-English queries. Supports custom data upload via @layername syntax. - [Real-Time Collaboration](https://klarety.ai/features/real-time-collaboration): Shared workspaces where multiple team members work on the same satellite analysis simultaneously with live cursors, geo-anchored comments, role-based permissions, version history, and instant stakeholder sharing. - [Platform Overview](https://klarety.ai/features): Complete overview of the Klarety platform including the agent execution environment, data management layer, interactive geospatial visualization, collaboration, and scheduled automation capabilities. ## Analysis Templates One-prompt analysis templates demonstrating what Klarety agents produce from a single natural language question. Each template is a complete executed report with satellite imagery, statistical models, charts, and cited methodology. - [All Templates](https://klarety.ai/templates): Full template library organized by domain. Browse financial analysis, geopolitical intelligence, agriculture, mining, urban planning, and environmental templates to see the depth of analysis produced from one prompt. - [Financial Analysis Templates](https://klarety.ai/templates/financial-analysis): Satellite-backed alternative data templates for investors and traders. Includes port activity monitoring (Singapore), oil storage tank fill levels (Cushing Hub), retail footfall analysis (parking lot occupancy), mining extraction monitoring (Escondida copper mine), and infrastructure investment tracking (Belt and Road Initiative). - [Agriculture Templates](https://klarety.ai/templates/agriculture): Crop health monitoring, irrigation and water level analysis, harvest timing optimization, soil erosion mapping, pest early detection, and deforestation rate analysis. Demonstrates NDVI, NDWI, MODIS, and SMAP data in executed outputs. - [Geopolitical Analysis Templates](https://klarety.ai/templates/geopolitical-analysis): Satellite intelligence templates for geopolitical monitoring including border infrastructure changes, refugee movement estimation, maritime territorial developments, and energy infrastructure monitoring. - [Mining Templates](https://klarety.ai/templates/mining): Mineral deposit detection, excavation progress tracking, and logistics terrain assessment. Demonstrates spectral anomaly detection and volumetric output estimation from satellite data. - [Urban Planning Templates](https://klarety.ai/templates/urban-planning): Urban traffic flow analysis, heat island identification, construction progress monitoring, and flood risk simulation with sea level rise modeling. - [Environmental Templates](https://klarety.ai/templates/environment): Glacier retreat measurement, air quality trend analysis, and ocean surface temperature anomaly mapping using decades of satellite data. ## Compare: Klarety vs Alternatives How Klarety compares to traditional GIS software, satellite data providers, financial data platforms, AI assistants, and consulting firms for satellite-backed geospatial intelligence. - [Compare Hub](https://klarety.ai/compare): Full comparison index covering all alternatives to Klarety across GIS, satellite data, finance, and AI categories. - [Klarety vs ArcGIS](https://klarety.ai/compare/vs-arcgis): Klarety vs Esri ArcGIS. ArcGIS is a powerful GIS platform requiring trained specialists. Klarety delivers the same satellite analysis from plain-English questions with no GIS training required. Comparison of execution model, accessibility, and time to insight. - [Klarety vs Google Earth Engine](https://klarety.ai/compare/vs-google-earth-engine): Klarety vs Google Earth Engine. Earth Engine provides planetary-scale satellite compute for developers. Klarety delivers the same satellite processing capability without JavaScript or Python, accessible to any analyst or operator. - [Klarety vs Planet Labs](https://klarety.ai/compare/vs-planet-labs): Klarety vs Planet Labs. Planet delivers daily commercial satellite imagery via developer API. Klarety turns all major public satellite sources into finished intelligence automatically, no engineering team required. - [Klarety vs Bloomberg](https://klarety.ai/compare/vs-bloomberg): Klarety vs Bloomberg Terminal. Bloomberg reports financial data from traditional sources. Klarety delivers satellite-backed alternative data signals (port activity, oil storage, retail footfall, crop yields) before they appear in official reports. - [Klarety vs ChatGPT](https://klarety.ai/compare/vs-chatgpt): Klarety vs ChatGPT. ChatGPT explains concepts from training data. Klarety agents access real satellites, execute live code, and return findings grounded in current physical reality. Every result includes the code that ran and full source citations. - [Klarety vs SpaceKnow](https://klarety.ai/compare/vs-spaceknow): Klarety vs SpaceKnow. SpaceKnow offers pre-built satellite analytics datasets at fixed subscription tiers. Klarety agents build custom analysis from scratch for any question, for any location, with no predefined product constraints. - [Klarety vs BCG / Strategy Consultants](https://klarety.ai/compare/vs-bcg): Klarety vs management consulting for geospatial and Earth intelligence. Consulting firms deliver satellite-backed analysis in weeks at six-figure cost. Klarety delivers equivalent executed analysis in minutes from one plain-English question. - [Klarety vs Felt](https://klarety.ai/compare/vs-felt): Klarety vs Felt. Felt is a collaborative mapping tool. Klarety generates satellite-backed intelligence through AI agent execution, not collaborative map drawing. - [Klarety vs EarthDaily](https://klarety.ai/compare/vs-earth-daily): Klarety vs EarthDaily Analytics. EarthDaily provides science-grade satellite data for ML developers. Klarety accesses comparable data and executes the full analysis automatically, no ML team required. - [Klarety vs Manus](https://klarety.ai/compare/vs-manus): Klarety vs Manus AI agents. Manus is a general-purpose AI agent platform. Klarety agents are purpose-built for Earth observation, with direct access to satellite sources, geospatial compute, and real-time Earth data. ## Industries and Use Cases Klarety serves any industry that needs to understand what is physically happening on Earth. Common use cases by domain: - **Finance and alternative data**: Port traffic, oil storage, retail footfall, mining output, crop yields, and construction progress as satellite-backed investment signals before official reports. - **Commodity trading**: Physical supply chain intelligence from satellite imagery ahead of EIA reports, USDA reports, and market data. - **Agriculture**: Crop health monitoring (NDVI), soil moisture (SMAP), irrigation analysis, yield forecasting, pest and disease early warning. - **Mining and resources**: Extraction activity monitoring, stockpile volume estimation, geological anomaly detection, environmental compliance verification. - **Defense and intelligence**: Border infrastructure changes, facility construction monitoring, maritime domain awareness, sanctions-relevant activity detection using SAR imagery. - **Infrastructure and real estate**: Construction progress tracking, flood risk modeling, site feasibility analysis, terrain assessment. - **Climate and ESG**: Glacier retreat, deforestation measurement, emissions signals at facility level, independent verification of environmental compliance. - **GIS professionals**: Automated execution of geospatial workflows to multiply analytical throughput without writing boilerplate processing code. ## Pricing and Access - [Pricing](https://klarety.ai/pricing): Subscription tiers and consumption-based credit model for Klarety platform access. - [Sign In](https://klarety.ai/sign-in): Access the browser-based Klarety platform. - [Contact](https://klarety.ai/contact): Contact Klarety for enterprise access, custom deployments, or partnership inquiries. ## Company - [About Klarety](https://klarety.ai/about-us): Company mission, founding story, and the thesis behind Klarety: dismantling the barrier between satellite intelligence and the people who need it. Founded at Yale, shaped by military special operations experience. ## Optional - [Privacy Policy](https://klarety.ai/privacy-policy): Data handling, privacy, and user data practices. - [Terms of Service](https://klarety.ai/terms-of-service): Platform usage terms and conditions. - [Platform Rules](https://klarety.ai/platform-rules): Acceptable use guidelines for the Klarety platform. - [Full Context File](https://klarety.ai/llms-full.txt): Complete Klarety documentation and feature guides concatenated into a single file for full context ingestion by AI tools.