One accountable operator, from seed to off-take.
We own the inputs, operate the field, and integrate with everyone downstream — with a transparent line to how each stage earns.
The same hectare can carry a great deal more — and that is work an operator can do.
The headroom between today's harvest and what the land can hold comes down to three manageable things: consistent inputs, disciplined SOPs, and a data trail. Operate those well and the yield follows — we have measured it on our own blocks.
Potato, one cycle, per hectare. Across the wider 2025 pilot cohorts the yield lift has reached +42%; the figures here are the conservative case we model against.
Inputs to one specification
We produce and QA our own seed and fertiliser, so the same protocol gives the same crop lot after lot.
SOPs that repeat
Best practice is codified into SOPs and dispatched work orders, so a good result repeats across blocks, seasons and regions.
A lot-level data trail
Every block is recorded in VarmOS — which is what opens the door to export buyers and financiers who require traceability.
Four things came together that were not in place five years ago.
Operating farmland at scale used to be uneconomic. What changed is not the land — it is what can now be measured, repeated and proven.
Local science matured
Varieties and biologicals developed for Indonesian conditions with local research institutions, rather than protocols imported wholesale.
Monitoring became affordable
Satellite layers, low-cost sensors and practical AI make per-block oversight worth its cost — which is what lets one team run scattered plots.
The market rewards traceability
Buyers, exporters and financiers now ask for an auditable trail. That favours whoever actually controls the field.
Farmers are digital-ready
Smartphone use and rural connectivity have grown far enough that work orders, scouting and reporting can run through a phone.
We own the inputs. We operate the field. We integrate with everyone downstream.
Four stages, and how each one earns — with no hidden take-rate in between.
Input production
Seeds and bio-inputs, QA specs, traceability — research through production.
Farm operations
Plan → Grow → Harvest. SOPs, work orders and field QA under VarmOS.
Post-harvest
Grading, packing, MRL sampling, then cold-chain hand-off to the buyer via PasarAgri. That hand-off is where our chain ends.
Aggregation
Block consolidation, export documents and traceability IDs.
Adjacent verticals held for later margin expansion: self-exporting, food processing, CPG, cold-chain logistics.
Five stages, each with an owner.
Every block we manage moves through the same sequence, and every step of it is recorded in VarmOS.
| Lot ID | Commodity | Ha | Stage | NDVI | Status |
|---|---|---|---|---|---|
| JB-PCK-014 | Chili | 14.0 | Grow · D42 | 0.78 | On track |
| JB-GRT-031 | Potato | 28.5 | Grow · D66 | 0.71 | Scouting |
| JT-WNS-007 | Shallot | 19.2 | Harvest | 0.64 | Grade-A 68% |
| JB-BDG-022 | Cabbage | 11.8 | Grow · D29 | 0.52 | Moisture low |
| JB-PCK-018 | Long bean | 6.4 | Plan | — | Land prep |
We are paid when the yield goes up.
Profit share or a KPI-linked fee — not a flat invoice that runs whether the harvest lands or not. If the numbers do not move, that is our problem too.