01
Analysis vs. Visualization
Klarety starts with your question and produces the data. Agents pull satellite imagery, run spectral analysis, compute indices, model change over time, and generate forecasts before any visualization even happens.
Felt needs you to bring the data.
Klarety's agents go get it from satellites, you just ask.
What makes Klarety different
02
Satellite intelligence vs. Data upload
Klarety agents autonomously access Sentinel-1 SAR, Sentinel-2, Landsat, MODIS, NAIP, NASA data products, and more. The right satellite for your question is selected and queried automatically. No uploads required.
03
Execution vs. Display
Klarety is an execution engine. It produces outputs that don't exist yet: change detection maps, drought forecasts, crop stress models, oil storage estimates, port activity signals all from a single plain-English prompt.
04
Any question vs. Any dataset
Klarety answers the question: what is actually happening at this location? That question requires satellite imagery, real-time data fusion, and autonomous code execution all of which Klarety handles automatically.
What Klarety does better
Intelligence your team didn't have to go find.
Satellite analysis from a single question.
Ask what's happening at any location on Earth and Klarety agents select the right satellite sources, write the processing code, execute it, compute spectral indices and statistical models, and return a complete output. No data to upload. No pipeline to build.
01
Change detection that runs itself.
Klarety agents detect, measure, and explain physical changes across any time range days, months, or years. Set up continuous monitoring and agents alert you automatically when something changes. Felt has no equivalent capability.
02
Real-time intelligence fused with satellite data.
Agents pull live news, official reports, and public sentiment via xAI/Grok and cross-reference those findings with satellite analysis automatically. Satellite evidence plus current real-world context, in one output.
03
Full transparency on every output.
Every Klarety analysis includes all Python code executed, all data sources cited, all calculations with derivations, and a complete methodology document. Every number is auditable. Felt provides no analysis to audit.
04
Your data, in the analysis.
Upload your own GeoJSON, SHP, GeoTIFF, CSV, or KML files and reference them in any Klarety analysis using @layername. Agents combine your proprietary data with global satellite sources automatically no separate mapping tool needed.
05
Feature comparison
Feature comparison Klarety vs Felt
| Feature | Klarety | Felt |
|---|---|---|
| Natural language interface | Full plain-English | Partial |
| Satellite data access | All major public sources, auto-selected | None user uploads only |
| End-to-end AI execution | Agents do everything | No analysis execution |
| Change detection | Automated, any time range | Not available |
| Spectral indices and satellite analysis | Any index, computed automatically | Not available |
| Real-time web and sentiment fusion | Integrated via xAI/Grok | Not available |
| Forecasting and statistical models | Built and executed per analysis | Not available |
| Scheduled automated monitoring | Cron agents built in | Not available |
| Collaborative workspace | Built in, geo-anchored | Yes, core feature |
| Map visualization | Full interactive platform | Yes, core feature |
| Code and methodology transparency | Every step shown | No analysis to document |
Natural language interface
Klarety
Full plain-English
Felt
Partial
Satellite data access
Klarety
All major public sources, auto-selected
Felt
None user uploads only
End-to-end AI execution
Klarety
Agents do everything
Felt
No analysis execution
Change detection
Klarety
Automated, any time range
Felt
Not available
Spectral indices and satellite analysis
Klarety
Any index, computed automatically
Felt
Not available
Real-time web and sentiment fusion
Klarety
Integrated via xAI/Grok
Felt
Not available
Forecasting and statistical models
Klarety
Built and executed per analysis
Felt
Not available
Scheduled automated monitoring
Klarety
Cron agents built in
Felt
Not available
Collaborative workspace
Klarety
Built in, geo-anchored
Felt
Yes, core feature
Map visualization
Klarety
Full interactive platform
Felt
Yes, core feature
Code and methodology transparency
Klarety
Every step shown
Felt
No analysis to document
When to use each platform
Alternative
Use Felt when you need:
- A clean, collaborative interface for displaying data you already have
- Team annotation and map sharing across non-technical stakeholders
- Database connections to Postgres, Snowflake, or BigQuery for live map layers
- Beautiful presentation-ready map exports
Felt excels at collaborative map visualization for teams working with existing location data.
Klarety
Use Klarety when you need:
- Satellite intelligence generated from a plain-English question
- Change detection, forecasting, or alternative data signals
- Analysis of any location on Earth without sourcing your own data
- Continuous automated monitoring of assets or regions
- Outputs that include code, methodology, and full citations
Klarety excels at generating Earth intelligence from scratch not just displaying data that already exists.
