The Geospatial Intelligence Layer

The definitive
data layer for
Earth.

We turn petabytes of raw satellite data into clean, affordable, pre-processed intelligence at 10x lower cost.

10×
Lower cost
vs market rate
70%
Pre-processing
time eliminated
1 m
Target resolution
multispectral
$2.50
Per sq.km
delivery cost
01 — Problem
The industry
has the data.
The bottlenecks
are killing it.
Prohibitive Costs
I

High-resolution optical data costs $18–$24 per sq.km, with minimum orders of 100–250 sq.km. Hyperspectral data can reach $80 per sq.km pricing out most organisations entirely.

"$60-80 / sq.km hyperspectral market rate"
The Pre-Processing Tax
II

~70% of all project time is spent purely ingesting and cleaning data correcting atmospheric noise, patching cloud cover, filling temporal gaps before any analysis begins.

"70% of time consumed before insight"
Zero Standardisation
III

Data is fragmented across portals, PDF maps, and non-queryable FTP servers. 1,000+ satellites generate petabytes with no unified, clean, queryable output layer.

"1,000 satellites. Zero unified standard."
02 — Our Solution
The foundational
Data layer.

Sensor-agnostic. Multi-source fused. Delivered clean, harmonised, and production-ready. We engineer the data layer so our customers can define their markets.

Starting at $2.50–$3.00 per sq.km
01
The Natural World

Terrain, land, water, vegetation and soil intelligence from fused optical, SAR and multispectral data.

  • DEM / DSM Terrain Models (3D base)
  • Vegetation & Crop Health Indices
  • Water Stress & Soil Analytics
  • Natural Land Cover Classification
02
Built Environment

Infrastructure intelligence at the parcel level buildings, roads, utilities, cadastral boundaries, and geocoded addresses.

  • Cadastral Boundaries & Ownership
  • Building Footprints (height / area)
  • Road Networks (surface / width)
  • Utility Grids & Socio-Economic
03
Climate Intelligence

Sub-hour nowcasting to 240 hour forecasts and long-term climate simulations for risk modelling.

  • Historical Weather Archives
  • Near-Real-Time Solar & Wind NRT
  • 10-day & 240-hour Forecast Models
  • Long-Term Climate Simulations
03 — Use Cases
Already proving.
Across sectors.
Solar Site Identification

Working with operators in Varanasi to map power network access, soil quality, and irradiance replacing months of fieldwork with days of data.

Renewables Site Selection
Lake Encroachment Monitoring

Helping municipalities monitor 700+ lakes using high-resolution change detection. Budget drops from ₹1.5Cr to ₹15L INR a 10× cost reduction.

Urban Planning Environment
Climate Fintech Risk

Providing updated building and road network data so climate-fintechs can calculate the exact dollar value at risk for supply chains and physical assets.

Finance Insurance Climate
04 — Confidence Layer
Data that's
bankable.

Every output ships with a transparency confidence metric a granular certainty score quantifying reliability and expected accuracy for that specific layer and pixel. Validated through IoT ground-truth networks and hardware partners.

Cloud-Free Annual Coverage70%
Target Resolution1 m
Pre-Processing Eliminated70%
Cost Reduction vs Market− 90%
Confidence Score Range70% - 98%
05 — Open Source

Built in the open.
Free to use.

We publish the tools we build. Use them, fork them, contribute to them no paywalls.

Geospatial Toolkit GitHub ↗
earth-data-kit

A toolkit for seamless geospatial data handling, making complex location datasets accessible and actionable. Works with Sentinel-2, Landsat, and SAR data out of the box.

SAR Processing GitHub ↗
edk-sar

Streamlined SAR processing tools for InSAR, polarimetric SAR, and advanced radar analytics. Cuts through the complexity of Sentinel-1 pipelines.

★ Star our repos on GitHub — github.com/earth-data-kit View all repositories ↗
Request Data Access

Get the data.
Build faster.

We're excited to hear from you and always looking for design partners! Feel free to book a call with us.