RegenerativeCommoditiesLaunch Platform
Platform · In development

Where the model becomes an operating system

The website explains the model. This is where it runs. The platform turns each grower's farm plan into a costed, financeable commitment, then watches delivery against it from space. Here is what we are building.

Open the farm registryWorking prototype · add a grower, draw a field, see its vegetation index, then design and cost its farm plan
See it in action

Draw the work. See the cost.

Trace a fence, a planting block or a water point on the satellite map. The platform measures it, works out the materials and labour, and prices the job from an editable cost library, splitting what the programme funds from the grower's contribution.

Farm plan · Block ADraft · v1
Satellite view of a field with a fence line traced on itFence line · 325 m

Plan establishment cost

$826

  • Fence posts 325 m ÷ 3 m spacing$654
  • Fencing wire 1,299 m × $0.12$156
  • Fencing labour 1.6 days × $10$16

Illustrative. The 109 posts are derived automatically from the drawn length ÷ spacing; every price comes from the editable cost library.

Try it live
Module A

Farm design

Map it. Cost it. Lock it.

How a grower's plan gets made, costed, and agreed, then becomes the baseline everything else is measured against.

  • 1
    Onboard and map

    Register the grower and trace each field onto a satellite basemap. Every field becomes a polygon, the unit everything else hangs off.

  • 2
    Baseline

    Pull historical satellite signals and soil and climate context for each field. The baseline every outcome is measured against.

  • 3
    Design the plan

    A per-field regenerative plan from commodity templates (sugarcane first), customised by an agronomist.

  • 4
    Cost and finance

    The plan auto-costs and splits programme-funded from grower contribution, tied to offtake and price-collar terms.

  • 5
    Agree

    The plan becomes the agreed, versioned baseline. The operational annex to the GIP contract.

Module B

Monitoring

Watch it. Flag it. Prove it.

How we prove adherence and outcomes across thousands of scattered fields, and turn it into evidence a buyer and a financier will accept.

  • •
    Satellite-first data

    Free Sentinel-2 imagery for routine signals, high-resolution only for spot-checks, plus agronomist ground-truth. The combination keeps the cost low enough to monitor at scale.

  • •
    Adherence signals

    Did the planned practice happen? Cover crop in the fallow window, residue retention, planting timing, and no unplanned land clearing.

  • •
    Outcome signals

    Biomass and canopy trends, yield proxies, and a modelled soil-carbon trajectory calibrated by field sampling.

  • •
    Exception flagging

    You cannot eyeball thousands of farms. The system surfaces only the fields that need a human to look.

  • •
    Audit-ready reports

    Outcomes packaged for buyers (Scope 3) and development-finance partners, with the full evidence trail behind them.

Roadmap

How we get there

  1. Phase 0Web presence and platform placeholderDone
  2. Phase 1Farm registry and mapping. Onboard growers, draw fields, pull baseline satellite dataPrototype live
  3. Phase 2Farm-plan module. Design, cost, and agree per-field plansPrototype live
  4. Phase 3Monitoring. Scheduled satellite signals, adherence alerts, portfolio dashboardPlanned
  5. Phase 4Verification and reporting. Audit-ready outputs and read-only access for buyers and financiersPlanned
  6. Phase 5Scale. More commodities and estates, offline field app, deeper MRV integrationsPlanned

We build the parts that have to be ours: the workflow, the costing, the dashboard people trust. For the satellite and measurement science, we integrate what already works rather than reinvent it. The near-term focus is the farm registry, the spine everything else plugs into.

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