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We build production-grade web GIS platforms, spatial automation, and AI assistants — so your team turns location data into decisions, not backlog.

BaseBengaluru · 12.97°N 77.59°EImagery: contains modified Copernicus Sentinel data 2026
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Web GIS platformsSpatial analyticsRemote sensingAutomation & ETLData managementSpatial AI

Every decision has a location and a moment in time. We map both.

(00) — Manifesto

Every decision has a where and a when. We build the platforms, pipelines and AI that turn location data into answers your team can act on — shipped in weeks, not quarters.

(01) — Study

Learn the stack,
in the open.

Free, practical lessons from our own projects — the concepts and tools we use to ship GIS work.
Browse all lessons →
GIS study track8 lessons01

GIS

Core concepts, data formats, spatial databases and topology.

  1. GIS Fundamentals: A Beginner's GuideBeginner
  2. Where Spatial Data Comes From: Open Data, Web Services and OpenStreetMapBeginner
  3. Rainfall and Weather Data Products: Gauges, Satellites and ReanalysisBeginner
  4. Georeferencing, Digitization and TopologyBeginner
  5. Transformations in GIS: Datum, Coordinate and Image TransformationsIntermediate
  6. Mosaicking, Tiling and Clipping RastersBeginner
  7. Spatial Databases, Spatial Indexing and PostGISBeginner
  8. Geospatial File Formats: GeoTIFF, GeoPackage and ShapefileBeginner
Open GIS track →
Remote sensing study track11 lessons02

Remote sensing

Satellite and drone imagery, elevation models and spectral analysis.

  1. Remote Sensing Fundamentals: A Beginner's GuideBeginner
  2. Earth Observation Satellites: Orbits, Sensors and Products ExplainedBeginner
  3. Spectral Signatures: How Surfaces Reflect Light at Different WavelengthsBeginner
  4. Spectral Indices: NDVI, NDWI, MNDWI, NDBI and NBR ExplainedIntermediate
  5. DEM, DSM and DTM: Elevation Models ExplainedBeginner
  6. Drone Mapping Fundamentals: Orthorectification, Orthomosaics and GSDBeginner
  7. Image Classification Methods: K-means, Maximum Likelihood, Random Forest and Accuracy AssessmentIntermediate
  8. Remote Sensing Time Series: Composites, Gaps, Phenology and Trends ExplainedBeginner
  9. Cloud Masking and Scene Classification in Optical ImageryBeginner
  10. Radar and SAR Basics: Backscatter, Polarization and SpeckleIntermediate
  11. Land Surface Temperature, Night Lights and Soil Moisture: What the Numbers MeanBeginner
Open Remote sensing track →
Agriculture monitoring — example GIS output
Weather monitoring — example GIS output
Flood analysis — example GIS output
Network analysis — example GIS output
Site suitability — example GIS output
LULC generation — example GIS output
Construction monitoring — example GIS output
Asset management — example GIS output
Progress tracking — example GIS output
(02) — Deploy

Use cases,
in the field.

Crop health dashboards · NDVI / vegetation indices · field operations

LLM + analyticsWhatsAppMobile · soon

Chat with your reports.
Get faster insights.

An LLM-powered assistant that answers questions about reports, time-series KPIs, and GIS analytics — via WhatsApp or the upcoming Time & Spatial app.
Try a use case
assistant · /reports● idle
You
(03) — Why us

Built by operators,
for operations.

You get a partner who understands GIS deeply and ships production-grade systems with clear outcomes.
01

Outcome-driven

Solutions tied to measurable business impact and user workflows.

02

Engineering quality

Maintainable systems with tests, docs, and clean handoffs.

03

Automation-first

Reduce manual GIS work so teams scale with fewer errors.

04

Domain expertise

Remote sensing, analytics, platforms, operations — across verticals.

(04) — FAQ

Still thinking?

Questions we hear from teams adopting GIS, automation, and AI.

GIS (Geographic Information System) captures, stores, analyzes, and visualizes data with location — so you can answer questions about "where", "how far", "what changed", and "what's at risk".

(05) — Next


Tell us about your data and your workflow. We'll show you what's shippable in weeks, not quarters.