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Supply chain & industry

The traceability deadlines moved, and the records are still on paper.

FSMA 204, EUDR and retailer GlobalGAP requirements all expect a record you can produce on demand, whenever they land.

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Jul 2028

earliest date the FDA will enforce the food traceability rule, after Congress directed a delay.

Source: FDA: FSMA final rule on additional traceability records for certain foods

What is happening

The record exists. It is just on another farm, in another format.

Traceability moved from advantage to requirement

Buyers, retailers, lenders and regulators now all ask for the same record, and none of them accept one pieced together afterwards.

Field data does not reach the compliance record

Agronomists capture in one place, compliance reports from another, and the join is manual at exactly the moment there is no time.

A recall means days of searching

Working out which lots contained a suspect input, and where they went, is a manual exercise under time pressure.

Every buyer wants a different format

The same underlying facts, reformatted by hand for each customer and each certification body.

Intelligence, plumbed in

A handwritten field book is data, once something can read it.

We build the reader, then check every extraction against the paper for a month before anyone relies on it.

How we make AI survive real data
  • Connectors
  • A semantic layer
  • Evals you can check

What changes

Judge us on this, not on what we built.

One record

Field to shipment, captured once

Inputs, treatments, harvest, lot and destination linked as they happen rather than assembled at audit time.

Minutes

Recall scope answerable immediately

Which lots, which inputs, which customers — as a query rather than an investigation.

Any format

One dataset, every buyer's template

EUDR, FSMA 204 and GlobalGAP outputs generated from the same record.

Research

We wrote a full page on each of these, with the sources.

Each one carries its own figures and the citations behind them. Start with whichever sounds most like your week.

However hard, whatever it is

Traceability is one example. Bring whatever is actually costing you.

This page happens to be about records an auditor will accept. If your problem is yield, labour or a machine nobody can read, that is the same job for us.

  1. 01

    We sit with you

    Days where the work happens, not a workshop in a meeting room. We watch the job get done and write down the shortcuts nobody wrote down.

  2. 02

    We read everything

    Your data, your rules, your vendors and their documentation, and the published research on your sector. We report what is actually in there.

  3. 03

    We break it to first principles

    Not which tool fixes this. What is actually causing it, taken apart until we reach the piece that cannot be divided further.

  4. 04

    Then we build

    Weeks, not quarters. By this point we are not guessing what to build, and guessing is the thing that makes projects long.

Where we sit

Your farm software stays. We build the record an auditor will accept.

4

What you get

  • One record Field to shipment, captured once
  • Minutes Recall scope answerable immediately
  • Any format One dataset, every buyer's template
3

Built new for you — none of this exists in your stack today

  • A field app that works with no signal and syncs later
  • A gateway that reads the packhouse scale and printer directly
  • A one-page pack that answers an audit in minutes
2
The traceability layer Reads your farms and packhouses. Writes nothing you have not approved. Connectors, one agreed meaning per field, and a model reading what no field holds. Accuracy measured on your own records.
1
  • farm management software
  • EUDR
  • FSMA 204
  • GlobalGAP
  • ERP systems

What you already run — unchanged, and still yours

If a farm can write it down, we can read it. Weighbridge printouts, handwritten field books, a scale with one serial port. All of it becomes data.

  • No API
  • No documentation
  • A terminal from 1994
  • It arrives as paper
  • The vendor said no
  • It reports nothing

Not a list of limits. Name yours on the call.

And once we can reach it, a model can read it. Most of the value here is in the sources nobody ever structured — the note, the letter, the screen.

Who this is for

The people who feel this first

  • Head of Quality
  • Compliance Manager
  • Supply Chain Director
  • Operations Head
  • Agronomy Lead

Straight answers

The questions you would ask on the call

  • Our growers do not use software.

    Then the capture cannot depend on them using software. That usually means SMS, a WhatsApp flow, a simple scan, or a sensor — whatever fits how they already work. A system that requires behaviour change at the farm level will not produce a complete record.

  • Which regulations do you support?

    FSMA 204, EUDR and GlobalGAP are the three currently converging. The design principle is to capture the underlying facts once and generate each format from them, because the regulations will keep changing.

  • Can you handle cold chain?

    Yes, including sensor integration. We build embedded and sensor systems as well as the software above them, which matters when temperature excursion evidence is part of the record.

  • Can AI really read handwritten field books and weighbridge dockets?

    Yes. We build the reader, then check every extraction against the paper for a month. Accuracy is a number we report, not a promise.

Next step

Start with your own numbers.

  1. We talk

    20 minutes. Free.

    You tell us what is not working. We ask how the work really gets done.

  2. We look at your data

    A few weeks.

    We read your systems, including the notes and letters no field holds. You get what is really in there, what it costs, and the accuracy we can hit.

  3. We build

    A few months.

    Only if step 2 says it is worth it. Fixed price, agreed before we start.