Solutions

Solutions

Satellite intelligence
for institutions
running the work.

For governments, donors, NGOs, and the trade, restoration, and agricultural programmes that fund work on the ground: every field gets a verdict, a recommendation and a dated field check, delivered in the client’s language on request, and you get one portfolio view with evidence ready for reporting. RX AI is the platform underneath, configured to your sites, indicators, reporting cadence, and training needs.

Programme mapping Continuous monitoring RX AI verdicts Capacity building

RX AI proof points

Site-level evidence, refreshed continuously.

The system is built for programmes where a single map is not enough. Each site needs a verdict, a recommendation, and a reporting trail that programme teams can defend.

Live monitoring 2,719 FMNR sites
Per site 44 computed data layers
Per site Seven verdicts, including two “data not ready” states
Refresh cycle As new clear imagery arrives

The Three Layers

The offer is a working system, not a pile of imagery.

Most engagements combine mapping, continuous monitoring, and training. The mix changes by programme, but the operating logic stays the same: turn site data into evidence that people can use inside real reporting and field workflows.

Mapping and analysis at programme scale

Satellite imagery, weather data, and site context turned into structured site-level evidence. Under World Vision’s Youth Innovation Project, Rinato mapped 32,560 hectares as the working footprint.

Continuous monitoring through RX AI

Per-site verdicts, ranked recommendations, and portfolio-level signals refreshed continuously. RX AI monitors 2,719 sites continuously through World Vision’s Farmer Managed Natural Regeneration programme.

Capacity building

Training for youth, ministry staff, and programme teams. 150+ Zambian youth were trained by Rinato through the World Vision Youth Innovation Project to map farms, analyse landscapes, and report back to their communities.

RX AI Platform

RX AI: the platform underneath

RX AI is the operating layer that converts onboarded sites, satellite imagery, weather, and programme context into per-site verdicts and ranked recommendations. It is built for institutions managing hundreds or thousands of sites, where the question is not “what does the image show?” but “what should the programme do next?”

What it does

  • Maps every site in a programme. Continuous refresh as new clear imagery arrives.
  • Tracks sites continuously using satellite imagery and weather data across seasons and years.
  • Computes 44 computed data layers per monitored site: 11 spectral indices, 11 weather and climate variables, 11 derived field-health metrics, and 11 comparisons of each site against its own history and against reference sites.
  • Returns one of seven verdicts per site, including two honest “data not ready” states.
  • Surfaces up to five ranked recommendations per site, plus a portfolio top 5. Groups the portfolio into five views: at risk, watch, healthy, holding, unknown. Reads each crop field against the season calendar for its crop and region, with known abnormal seasons marked in the baseline.

Seven verdicts per site, including two honest “data not ready” states. Most platforms force a verdict every time. We tell you when the data is not there, which is why partners trust the verdicts that do land.

What’s in the roadmap

ESG and MRV reporting workflows for project-specific engagements, built carbon-MRV-aware.

01

Sites onboarded

Rinato sets up every programme site in the platform with the location and context needed for monitoring.

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02

Data fused

Satellite imagery, weather data, and site context are brought into one working view.

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03

Verdict returned

Indices are computed, the site receives a verdict, and recommendations are ranked.

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04

Reports delivered

Site and portfolio PDF reports, with CSV and XLSX exports, generated on a schedule and emailed to named recipients. Menus and labels in eight languages; advice delivered in the client’s language on request.

Programme Types Served

Built for institutions with field responsibility.

Rinato serves programmes where many sites, many reporting obligations, and changing environmental conditions have to be understood together.

01

Climate and biodiversity programmes

Restoration and landscape monitoring with multi-year trend verdicts per site. Site-level evidence ready for funder reports.

02

Agricultural development programmes

Crop stress, seasonal performance and how far a field sits below its own seasonal normal, across distributed farms and outgrower networks. Full crop recipes and advice for maize, cotton, soybean, sorghum, tobacco, common bean and groundnut, with other crops onboarded on their own season calendar.

03

Government and multilateral programmes

Programme-scale visibility for ministries, agencies, and national initiatives. Rinato produces satellite intelligence products and training inside Zambia’s SLIM programme today.

04

Impact investment portfolios

Site-level evidence for due diligence, monitoring, evaluation, and ESG reporting.

What Institutions Receive

Concrete outputs, configured to the programme.

The deliverable is not a login screen alone. It is a package of maps, verdicts, reports, training, and configured modules that can sit inside the institution’s existing reporting rhythm.

Programme-scale site map and baseline analysis

A structured view of the footprint, site context, and baseline signals before monitoring begins.

Continuous RX AI monitoring

Per-site verdicts refreshed as new scenes and programme context become available.

Ranked recommendations

Site-level recommendations and a portfolio top 5 to show where attention should go first.

PDF reports for funders and donors

Outputs formatted for reporting, review meetings, and evidence packs.

Capacity-building workshops

Training for programme teams, ministry staff, and local operators who need to use the evidence.

Configurable modules

ESG and MRV reporting workflows configured to scope.

How an Engagement Works

Start narrow. Prove fit. Then scale the system.

The right engagement depends on the site set, the indicators, the reporting cadence, and the people who need to use the system. Rinato scopes those constraints first, then builds the operating layer around them.

01

Scope

A short engagement defines the programme footprint, the indicators that matter, and the reporting cadence required.

02

Pilot

Rinato runs a configured pilot on a defined site set, refreshed continuously as new clear imagery arrives. Pilot length is typically 4 to 8 weeks.

03

Scale

Pilot results inform a wider deployment with continuous monitoring, training, and reporting integrated into the institution’s existing workflows.

04

Capacity

Training is built into every engagement. The skill stays in-country after the engagement ends.

Pricing Approach

Priced by programme, not by a generic license.

Pricing is configured to scope: number of sites, indicators, reporting cadence, and depth of capacity building. Pilots are smaller pre-commercial engagements designed to prove fit before a wider rollout. Donor-funded, government, and enterprise structures differ because the operating context differs. Every engagement includes training and handover. The skill is a deliverable, not an upsell.

Work With Rinato

What are you trying to run, verify, or report?

Donor or multilateral

Bring us the programme footprint and the reporting burden. We will help define the monitoring layer and the evidence outputs.

Start a conversation

Government or ministry

Bring us the national initiative, agency workflow, or training need. We will shape the system around the institution.

Start a conversation

Agribusiness or enterprise

Bring us the sites, crops, and commercial reporting need. We will configure the monitoring and recommendation layer.

Start a conversation

Research partner

Bring us the question, dataset, or field context. We will look for a collaboration that can move into operational use.

Start a conversation

Common Questions

Questions institutions ask before working with Rinato

What does Rinato Space do?

Rinato Space builds satellite-powered decision intelligence systems for institutions managing land, agriculture, climate, and large distributed programmes.

What is RX AI?

RX AI is Rinato Space’s continuous monitoring platform. It turns satellite imagery, site data, and expert rules into site-level verdicts and recommendations.

Who does Rinato Space work with?

Rinato works with governments, NGOs, development partners, enterprises, and organisations running large programmes, in Africa and internationally.

Where is Rinato Space based?

Rinato Space is headquartered in Lusaka, Zambia, and builds satellite intelligence systems for programmes in Africa and internationally.

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