Observation scaled.
Optical, radar, climate and mapping sources are expanding faster than most teams can use them.
Request a pilot 
Envos turns a location and a real-world question into a reproducible geospatial workflow—combining satellite, climate, terrain and mapping data to deliver a decision with evidence and confidence.
Starting with commercial solar and infrastructure site qualification.
Petabytes of Earth data exist, but converting them into an operational answer still demands specialists, fragmented software and manual processing.
Optical, radar, climate and mapping sources are expanding faster than most teams can use them.
Finding imagery, processing rasters and interpreting spatial signals still depends on scarce expertise.
Teams fall back on broad averages, manual desktop analysis and avoidable physical surveys.
The missing layer is not another map. It is an intelligence system that turns business intent into a defensible geospatial decision.
Envos uses agentic orchestration to decide what analysis is needed, while validated tools perform the critical calculations.
Translates a business question into measurable geospatial requirements.
Selects the right satellite, climate, terrain and contextual datasets.
Runs validated spatial-analysis modules instead of relying on AI guesswork.
Combines signals across sources and evaluates limitations or conflicts.
Returns a recommendation with evidence, confidence and a clear next action.
Every Envos output is structured around the decision—not the data format. Teams see the recommendation, evidence, confidence and next action in one place.
Illustrative product output. Final signals depend on workflow and data availability.
Screen thousands of sites. Send people only where they matter.
Built for solar EPCs and infrastructure teams that need to qualify more candidate locations without multiplying desktop analysis and field work.
Evaluate a sample portfolioUpload a site, portfolio or geography and define the operational question you need answered.
The engine selects relevant data, invokes validated tools and reasons across the resulting signals.
Review the recommendation and evidence, export a report or integrate the decision into your system.
Land with a focused decision workflow, then expand across the asset lifecycle.
Qualify sites and rank where physical inspection will create the most value.
Check claims or conditions at a location against observable Earth data.
Track portfolios for physical or environmental change over time.
Embed decision-ready Earth intelligence inside existing software and workflows.
Starting with a narrow commercial wedge, designed for a much larger class of location-based questions.
Screen candidate sites before dispatching engineering and survey teams.
BeachheadAssess location-level flood, heat, drought and environmental exposure.
ExpansionIdentify physical change across facilities, projects and portfolios.
ExpansionAdd remote location evidence to collateral, underwriting and review workflows.
ExpansionScreen land-use and environmental signals around operating and supplier sites.
ExpansionStart with the question teams need answered, not the format of a satellite file.
Combine optical, SAR, terrain, climate and contextual signals when the workflow requires them.
Critical measurements are performed by deterministic modules that can be tested and reproduced.
Every recommendation is designed to show its basis, limits and appropriate next action.
Give us a set of historical candidate sites and field outcomes. We blind-score them, compare results and quantify where remote intelligence can improve prioritization.
Software understands databases.
“What is happening at this place on Earth?”Decision infrastructure for the physical world.