Monitoring, data analysis and geospatial work for farms, water and land.

We take on projects in crop and water monitoring, agricultural data analysis and geospatial work, each scoped with the people who will use the results.

Our intended focus is to support India’s climate-resilience and sustainability priorities toward 2030 with practical tools that people on the ground can check and use.

01Why this, why now

Why this work, and why now.

Agriculture in India is exposed to heat, uneven rainfall, groundwater stress and changing growing seasons. The years to 2030 are a period in which national climate-resilience and sustainability priorities ask farms, agencies and companies to measure more, plan further ahead and use resources more carefully.

We want to build tools that show field conditions clearly and let the people using them check the results for themselves.

An intended focus, not a claim of impact. We do not claim government partnerships, field results or measured environmental, yield or water outcomes. When a project produces evidence, we will publish it together with its method and limits.

Concept visualisationAn explanatory landscape — fields, water and a satellite pass. Not imagery or data from a real site.

02Service areas

Seven areas we can scope work in.

Most projects combine two or three. Each starts from a specific decision someone needs to make, not from a technology.

  1. Agritech intelligence

    Scoped service

    Decision-support tools that bring field, weather and input information together for growers, cooperatives and agribusinesses — showing why a suggestion is made and how certain it is.

    Agronomic judgement stays with agronomists and growers.

  2. Crop and environmental monitoring

    Scoped service

    Monitoring workflows that combine in-field sensors, field observations and satellite indicators, so crop and environmental conditions can be followed through a season.

  3. Agricultural data analysis

    Scoped service

    Cleaning, joining and analysing agricultural records — soil tests, inputs, harvests, weather — into reports and views that people can trace back to their sources.

  4. Water-resource efficiency

    Scoped service

    Making water use visible: irrigation scheduling support and soil-moisture, canal or reservoir data brought into one picture, so decisions rest on observation.

    No water-saving figure is stated before it has been measured on a project.

  5. Climate-resilient agriculture

    Scoped service

    Analysis of how heat, rainfall variability, drought and flooding expose crops and farm operations, to inform planning and adaptation choices.

  6. Geospatial and remote-sensing applications

    Scoped service

    Satellite and aerial imagery and GIS layers processed into maps and indicators for land, crop and water questions — checked against ground observations.

  7. Environmental data intelligence

    Scoped service

    Environmental datasets — water, land use, soil and biodiversity indicators — gathered into one structured, traceable view for planning and reporting.

03How a project runs

From one field question to a tool that holds up outdoors.

The general steps of any engagement are on the services overview. In green technology, a few things matter more.

  1. Start with the people and the place

    Who makes the decision, on what land, in which season — and what they already know that data will not show.
  2. Check the data before the model

    Coverage, resolution, cloud cover, sensor reliability, permissions, and whether there is ground truth to compare against.
  3. Pilot on a small area against a baseline

    A limited area and a clear comparison with current practice, so any difference can actually be attributed.
  4. Validate in the field

    Remote estimates are compared with field observations before anyone relies on them.
  5. Hand over something maintainable

    Simple, affordable tools that local teams can run, with the method and its limits written down.

04Boundaries

What we will not claim, and how data is treated.

Not claimed

  • Yield, water, emissions or environmental-impact figures that have not been measured
  • Government partnerships, endorsements or scheme approvals
  • Results from projects that have not run

Data and consent

  • Farm and land data serves the people and places that produce it
  • Clear consent for what is collected and how it is used
  • Location and personal data handled with care, and only as needed

When it may not fit

  • A simple, low-cost practice already answers the question
  • Remote estimates cannot be checked against any ground data
  • The tool would need constant expert support to keep working

Green technology

Working on land, water or climate data?

Tell us what decision you need to support, the area involved and the data you already have. The first conversation is about whether technology is the right answer at all.