END-TO-END DATA
PIPELINE

From raw satellite data to production-ready predictions, we handle every step of building your environmental intelligence solution with a robust, scalable architecture.

1
Ingest
2
Process
3
Analyze
4
Model
5
Validate
6
Deploy
7
Monitor
01

DATA INGESTION

We connect to and process data from major satellite and atmospheric model providers. Our ingestion layer handles real-time streams, batch downloads, and API integrations.

NASA GEOS-CF atmospheric composition models
NOAA HRRR high-resolution weather forecasts
NASA MAIAC/MODIS satellite aerosol data
EPA AQS ground monitoring networks
ESA Copernicus satellite products
Custom data source integrations
02

PROCESSING PIPELINE

Our medallion architecture transforms raw data into analysis-ready datasets. We handle spatial alignment, temporal aggregation, and quality control at scale.

Bronze layer: Raw data ingestion and storage
Silver layer: Cleaned and validated datasets
Gold layer: Feature-engineered ML-ready data
Automated quality control and validation
Gap filling and interpolation
Custom transformation pipelines
03

EXPLORATORY DATA ANALYSIS

Before building models, we conduct rigorous exploratory analysis to understand data characteristics, uncover patterns, and identify the most predictive features for your use case.

Target and feature distribution analysis
Correlation mapping and multicollinearity detection
Temporal pattern and seasonality analysis
Spatial variation and geographic patterns
Outlier detection and data quality assessment
Feature importance and selection guidance
04

ML MODELING

We build and deploy custom machine learning models tailored to your prediction needs. From gradient boosting to deep learning, we select the right approach for your data.

LightGBM / XGBoost ensemble models
Neural networks for complex patterns
Bayesian hyperparameter optimization
Purged K-fold cross-validation
Uncertainty quantification
Model interpretability and explainability
05

DELIVERY

Access your environmental intelligence through production-ready APIs, custom dashboards, or direct data feeds integrated with your existing systems.

RESTful API endpoints
Real-time streaming data
Custom web dashboards
Automated reporting
Data exports (CSV, NetCDF, GeoJSON)
Integration with existing systems

Technology Stack

Built with industry-leading tools and frameworks

CorePython

Primary language for data processing and ML

Dataxarray

N-dimensional array processing

ScaleDask

Parallel computing at scale

MLLightGBM

Gradient boosting framework

MLPyTorch

Deep learning models

APIFastAPI

High-performance API framework

DBPostgreSQL

Relational data storage

DBTimescaleDB

Time-series optimization

CloudAWS/GCP

Cloud infrastructure

Ready to Build Your Pipeline?

Let's discuss how we can create a custom data pipeline for your environmental intelligence needs.