Decision-support systemsfor water.

We build the digital water layer between raw data and a real decision. Remote sensing, numerical modeling, AI and custom software, engineered into systems that tell your team what to do next.

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Decision-support system● live
Satellite
IoT · Sensors
Models
DSSAI Engine
Output
Decision
Applies toGroundwaterFloodIrrigationNetworksQuality

We Work With

  • IWMI
  • WELL Labs
  • IIT Bombay
  • IIT Tirupati
  • Kritsnam
  • Ultrafast Chargers
  • Netzero Aqua
  • Tatva Global School

What a water DSS is made of

Four layers. One decision.

A decision-support system is only as good as the stack beneath it. We build every layer in-house, from the satellite pixel to the dashboard your team opens each morning.

01See the water

Remote Sensing & AI

Satellite and sensor data turned into signal: surface and groundwater change, vegetation stress and anomalies, over any area and any time window.

Satellite imageryNDVIChange detectionML models
02Know how it behaves

Numerical Modeling

Physics-based simulation of how water actually moves: aquifers, floods, drainage and distribution networks, calibrated to your site and your scenario.

MODFLOWHEC-RASEPANETSWMM
03Make the decision

Software & AI Agents

The decision layer: AI agents, digital twins and custom software that put the model and the data to work and act on it.

AI agentsDigital twinsCustom softwareAPIs
04Stay anchored to now

Monitoring & Sensors

Ground truth in real time: IoT metering and telemetry that keeps every model and every decision anchored to what is happening in the field.

IoT meteringTelemetryAlertsQA / QC
Built on
MODFLOWHEC-RASEPANETSWMMNDVIRemote SensingDigital TwinsIoT

Reference architecture

An AI-enabled water DSS, end to end.

From raw sensing to a decision your team can act on — physics and AI models converging on one calibrated, continuously monitored pipeline.

Where it applies

One discipline. Every water decision.

Water is all we do. The same decision-support stack adapts to the question in front of you: underground, on the surface, or across a network. Ten applications, one pipeline from data to decision.

  • Groundwater

    Subsurface

    SourcesWells + satellite
    ModelMODFLOW
    DecisionWhere & how deep to drill
    Outputsdepthyieldsustainability
  • Flood

    Surface water

    SourcesRainfall + terrain
    ModelHEC-RAS
    DecisionEvacuate or divert flow
    Outputsextentdeptharrival time
  • Irrigation

    Agriculture

    SourcesNDVI + soil moisture
    ModelCrop-water AI
    DecisionWhen & how much to irrigate
    Outputsschedulewater saved
  • Water networks

    Distribution

    SourcesMeters + pressure
    ModelEPANET
    DecisionFind & isolate the leak
    Outputsleak zoneloss %
  • Water quality

    Compliance

    SourcesSensors + lab
    ModelWQ model
    DecisionTreat or raise an alert
    Outputsquality indexexceedance
  • Drought

    Climate risk

    SourcesGRACE + rainfall
    ModelForecast
    DecisionRation & plan supply
    Outputsdeficitoutlook
  • Stormwater

    Urban drainage

    SourcesRain gauges
    ModelSWMM
    DecisionDetain or release
    Outputspeak flowoverflow risk
  • Aquifer recharge

    Replenishment

    SourcesGeology + rainfall
    ModelRecharge model
    DecisionSite managed recharge
    Outputsrecharge potential
  • Reservoir ops

    Operations

    SourcesInflow + demand
    ModelOptimization
    DecisionSet the release schedule
    Outputsstorageallocation
  • Saline intrusion

    Coastal

    SourcesSalinity + tides
    ModelIntrusion model
    DecisionThrottle coastal pumping
    Outputsinterfacerisk

What our clients say

“They transform ideas and raw datasets into high-quality AI-powered dashboards and decision-support systems, and do it fast.”
FA

Faiz Alam

Client · International Water Management Institute

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Start with the decision

Tell us the decision you're trying to make.

Describe the water question in front of you, and we'll design the decision-support system that answers it, or build it into your existing one.

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