Spatiora

Empowering Decisions,
For a Better Future.

Geospatial intelligence for agriculture,
water resources and river ecosystems.

Who We Are

Geospatial AI, built for decisions.

Spatiora is a Hyderabad-based geospatial technology company. We combine satellite, sensor and field data with AI and physical models, and turn them into decisions.

  • End-to-end, in-house: we build every step ourselves, from data intake and models to dashboards and APIs.
  • Domain depth: remote sensing, agronomy, hydrology and river ecology in one team.

Agriculture

Crop mapping, crop health and yield.

Water Resources

Inflow forecasting, reservoir operation and lake health.

River Ecosystems

Riparian vegetation, encroachment and flood resilience.

Spatiora

Our Technology Stack

From raw observation to decision.

01

Data we work with

  • Optical satellite imagery
  • SAR radar imagery
  • DEM
  • Drone imagery
  • Weather and rainfall
  • River gauges and station sensors
  • Field survey data
02

Intelligence we build

  • Machine learning and deep learning
  • Time-series analysis
  • Spatial analytics
  • Physics-based modelling
  • Data assimilation and forecasting
  • Optimisation
03

How we deliver

  • Web application
  • GIS layers for export
  • APIs
  • Reports and alerts
Spatiora

Decision Support System for Agriculture

The problem

Planners, agencies and insurers need field-level crop information across whole districts, every season. Field surveys are slow and costly, so crop area, crop stress and yield losses often become known only after the damage is done.

What we deliver

Satellite time series turned into crop maps, in-season health monitoring and pre-harvest yield estimates.

  • Crop Mapping
  • Health Monitoring
  • Yield Estimation
  • Risk Assessment
  • Irrigation Management
  • Insurance Services

How We Turn Data Into Decisions

We collect satellite, drone,
weather & field sensor data

We process the data using
AI & advanced analytics

We detect crop stress,
anomalies & risks

We deliver by dashboard,
file export and API

Spatiora

Crop Ground Truth Correction

The problem

Crop models are only as good as the field survey points they learn from. Survey records arrive duplicated, conflicting or misplaced onto field edges and roads. Checking millions of them by hand is not practical, so the errors pass straight into the models.

What we deliver

Noisy survey records turned into a clean, ready-to-use dataset. Every point that survives is corrected and paired with its field boundary and crop label.

  • Cleaned Ground Truth
  • Labelled Field Boundaries
  • Processing Reports

How We Turn Data Into Decisions

We ingest ground truth points
from field survey

We process the data using
AI & spatial analytics

We detect duplicates, conflicts
& misplaced points

We deliver clean layers
ready to use

Spatiora

Riparian Zone Analysis

The problem

River banks lose their vegetation to erosion, encroachment and floods, and a bare bank makes the next flood worse. Agencies that restore a corridor must decide where planting will survive and which species to plant. Surveying tens of kilometres of bank on foot is slow and inconsistent.

What we deliver

A vegetation model of the corridor on both sides of the river, built from imagery and terrain. We turn it into planting plans and flood resilience maps that an agency can defend.

  • Vegetation Probability Maps
  • Species and Planting Design
  • Disaster Management Support
  • Reports and Analytics

How We Turn Data Into Decisions

We take in imagery and terrain
for the river corridor

We train a vegetation model
on observed bank cover

We project probability across
every bank cell

We deliver species plans
and flood resilience maps

Spatiora

Integrated Reservoir Management System

The problem

Reservoir operators must decide releases before the water arrives. They balance irrigation, hydropower and drinking water against the flood cushion. Without a reliable inflow forecast, they release too late in a flood and hold too little in a dry spell.

What we deliver

Real-time inflow forecasts for the whole basin. Every new gauge reading is assimilated as it arrives, and the forecast becomes a release schedule that balances storage, demand and flood risk.

  • Real-Time Inflow Forecasting
  • Forecast-Led Operation
  • Data Assimilation
  • Optimal Release Policy
  • Extreme Event Analysis
  • Reports and Analytics

How We Turn Data Into Decisions

We collect streamflow, rainfall,
atmospheric and surface
variables and catchment
observations

We assimilate every reading
and run the basin forecast

We flag inflow peaks,
storage and flood risk,
with real-time alerts

We deliver release schedules
by dashboard and API

Spatiora

Beyond These Four

How we can work together.

We are also building

Lake Monitoring

Continuous tracking of water-body extent, storage and quality: turbidity, sediment and algal blooms across the seasons.

Hydrodynamic Modeling

Simulation of flow, water levels and inundation across rivers and floodplains, for flood mapping and infrastructure planning.

Ways to work with us

01

Product licence

Deploy our products on your regions and your data.

02

Custom pipelines

We build a geospatial AI pipeline to your specification.

03

Processing services

We take on imagery processing, analysis and model runs for your projects.

04

Co-development

We build new products together with your teams.

Spatiora

Our Team

The people behind Spatiora.

Advisory Board

Dr. R. Maheswaran

Dr. R. Maheswaran

Research & Technical Advisor

Dr. Shruti Upadhyaya

Dr. Shruti Upadhyaya

Research & Industry Advisor

Founder Team

S. Siva Kali Kiran

S. Siva Kali Kiran

Co-Founder & Project Lead

Arya R.

Arya R.

Co-Founder & AI Lead

Sreevisal G.

Sreevisal G.

Co-Founder & Tech. Lead

Spatiora

Thank You

Let's build together, for a better future.

Spatiora
  • hello@spatiora.com
  • Hyderabad, India