Pasture AI
A grass growth forecast for every field.
Dry-matter yield two weeks out and growth trends four weeks ahead, for the grazing systems behind dairy and meat supply.
90%
accuracy on English farms
15 days
average warning of extreme weather
Agricultural detail at scale
Working with
Source AI · supply chain visibility
Know where your ingredients come from, and how those fields are growing this week.
Source AI maps each material back to the farms and plots behind it. Our radar models of every field show how those origins are growing, so supply risk shows up before it reaches you.
Collect supplier origin declarations, review sourcing risks and map ingredient exposure in one place, with multilingual supplier workflows and annual updates.
For procurement, R&D and sustainability teams collecting origin information from their suppliers.
The whole chain
From the product you buy to the field it grows in.
Most traceability stops at a supplier declaration. Agribot keeps going, to the condition of the land behind it.
01
Material
A product you buy from one supplier, with its code and yearly volume.
A fat blend
Source AI02
Ingredients
What it is made of, in shares that add up to 100%.
Palm olein 70%, soybean oil 30%
Source AI03
Origins
Where each ingredient comes from, with its share of the year's volume.
A mill, a port or a growing area
Source AI04
Farms and plots
The cooperatives, farmers and plots behind each origin.
The supply behind it
Source AI05
Fields, this week
Measured by radar through cloud, every few days.
growth · crop stage · harvest
Pasture AI · Crop AISource AI
Map, check and plan your sourcing footprint.
01 MapMaterial to farm and plotSuppliers declare what each material is made of, where each ingredient comes from, and the farms and plots behind it.02 CheckChecks, then your approvalLocation and overlap checks, satellite land-cover and deforestation flags, then your team's review and approval.03 PlanExposure before disruptionSee which ingredients and volumes are exposed if a country or supplier stops, and which other declared origins exist.
Annual sourcing-footprint mapping. Map supplier-declared ingredient origins and their share of each material's annual volume, with origin checks and recorded buyer approvals. This is origin-level mapping, not shipment- or batch-level tracking.
01 Map
From the product you buy to the origins behind it.
Suppliers answer in their own portal, in their own language. Each sees only its own materials. They upload plots as GeoJSON, KML, Shapefile or a spreadsheet.
Origins belong to the supplier's whole group, so a sister company can reuse them. Next year, approved answers carry forward and suppliers confirm only what changed.
02 Check
Check declared origins before approving them.
A
Geospatial checks
Check whether submitted plots fall within the declared country and flag overlaps for review.
B
Satellite-based checks
Land use, and possible deforestation after 31 December 2020, flagged for review.
C
Supplier evidence and your approval
Suppliers attach supporting documents, such as certificates. Your team reviews the evidence and check findings, requests corrections and records approvals, with a history of who did what and when.
Checks flag a declared plot's characteristics for review. They don't, on their own, prove that an ingredient came from that plot.
03 Plan
See where your supply is exposed before disruption happens.
Scenarios work from what suppliers declared: the tonnes each origin supplies to each ingredient. Trying one changes nothing, so anyone with access can explore.
01
What happens if a country's supply stops?
02
What if one supplier, or a whole group, can't deliver?
03
How much depends on answers nobody has approved yet?
What you learn
Which ingredients and materials depend on one country or supplier, and how much volume is exposed.What you do next
Identify other declared origins for the same ingredient and prioritise contingency planning.For your team
Less chasing, clearer accountability.
What it does
What it changes for your team
Supplier portal in their language, with answers carried forward each year
Less repeated supplier administration
Recorded reviews and approvals
Clear accountability for accepted sourcing information
Country and supplier disruption scenarios
Visibility of concentration and potential supply gaps
Excel and CSV exports, and a read-only data feed
Use the information alongside your existing reporting systems
Powered by field intelligence
The same models farmers use, behind every origin.
Pasture AI and Crop AI were built field by field on working farms, and are products in their own right. They are what lets Source AI see past the declaration.
What it adds to your sourcing footprint
Growth at your origins
Grass and crop development in the regions you source from, against previous seasons.
Early warning
Growth and production shortfalls flagged weeks before they reach volumes.
Harvest timing
When the crop behind an origin is cut, and how that compares with every year since 2017.
Start with a pilot
Explore a pilot for one priority ingredient category.
Agree the supplier scope, assess origin coverage and test the approval and exposure workflows. Measure supplier response rate, declared-origin coverage, unresolved flags and time to review.