Harness Satellite Power

We build custom environmental intelligence solutions using NASA, NOAA, and EPA satellite data.From raw data to actionable predictions for your organization.

5.13
RMSE (µg/m³)
129
EPA Stations
Daily
Predictions
NASA
& NOAA Data

From Raw Data to Intelligence

Choose the level of data processing that fits your workflow. Our pipeline transforms raw satellite feeds into actionable insights.

Tier I

Cleaned Data

Quality-controlled and standardized environmental datasets ready for analysis

  • Quality assurance checks
  • Gap-filled time series
  • Standardized formats (CSV, Parquet)
  • Metadata enrichment
  • Historical data archives
Pipeline Stage 1

Tier II

EDA

Exploratory data analysis with statistical summaries and visualizations

  • Everything in Tier I
  • Statistical summaries
  • Trend analysis
  • Anomaly detection
  • Interactive dashboards
Pipeline Stage 2

Tier III

Predictive Modeling

ML-powered predictions and forecasts for environmental metrics

  • Everything in Tier II
  • Air quality forecasts
  • Predictive models
  • Custom ML pipelines
  • API integrations
Pipeline Stage 3

Tier IV

Enterprise

Real-time data analysis with professional consultancy and full support

  • Everything in Tier III
  • Real-time data streams
  • Professional consultancy
  • Custom solutions
  • Dedicated support
Pipeline Stage 4

Exploratory Data Analysis

Before building any model, we conduct rigorous exploratory analysis to uncover patterns, validate data quality, and identify the most predictive features for your use case.

Distribution Analysis

Statistical profiling of target variables and features to understand data characteristics and identify outliers.

Correlation Mapping

Feature-target relationship analysis to identify the strongest predictors and detect multicollinearity.

Temporal Patterns

Time series decomposition revealing seasonal trends, cyclical patterns, and anomalous periods.

Spatial Intelligence

Geographic analysis of monitoring stations to understand regional variations and spatial dependencies.

Data-Driven Decision Making

Our EDA process ensures every model we build is grounded in statistical rigor. We analyze over 56,000+ daily observations across 129 monitoring stations, examining correlations between satellite-derived features, meteorological variables, and ground-truth measurements to deliver predictions you can trust.

18
Features Analyzed
7
Analysis Dimensions

Ready to Transform Your Environmental Data?

Let's discuss how we can build a custom solution for your organization.

Start a Project