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Software for farms, growers and agritech businesses

We build field and agronomy data tools, equipment and traceability records, and seasonal labour systems for farms, packhouses and agritech suppliers. Then we run them, so nothing breaks in the middle of a harvest window.

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Where we help

What we build for Agriculture & AgriTech.

Field and agronomy data

One record per field and per season: soil tests, applications, scouting notes, yields. We pull from the machinery and weather platforms you already pay for, and make it readable offline in a shed with no signal.

Equipment and workshop records

Machines, hours, services due, breakdowns and parts. We build the job card, the technician view and the parts list, so a harvester fault in August is logged, assigned and closed rather than shouted across a yard.

Traceability and audit packs

Batch and lot records that follow produce from field to pack to despatch. When a retailer or an assurance scheme asks what was applied, where and by whom, the answer is one query rather than three days of paperwork.

Seasonal labour and attendance

Clock-in for gangs across several sites, piece rate and day rate side by side, and hours that reconcile to payroll. Our ready-built attendance system is the starting point; we shape it round your crews and your seasons.

AI agents and copilots

Agents that answer grower and agronomist questions from your own records, draft first responses to audit questions, and triage equipment faults. Each one ships with guardrails, monitoring and a rollback path, or it does not ship.

Websites, stores and headless CMS

Webflow and Shopify builds for farm shops, box schemes and agritech products, with a headless CMS behind them so variety data, spec sheets and grower content are edited by your team rather than by us.

How it runs

Plan. Build. Run.

01

A 30 minute call

You tell us what breaks and when. We ask about your seasons, sites, machinery platforms and who actually enters the data. No pitch deck, and no discovery invoice for the conversation itself.

02

Fixed scope, timeline and price

We write down what gets built, in what order, by when and for how much. Season-critical work goes first, so the parts you need before drilling or harvest are not sitting behind a nice-to-have dashboard.

03

Build, with you in it

We build in short cycles and put working software in front of the people who will use it: the agronomist, the workshop, the gang leader. Feedback from the field changes the build, not just the backlog.

04

Then we run it

At launch we move to the managed retainer: monitoring, fixes to response targets, improvements, security updates and a monthly report. We do not hand over a repository and disappear.

Why infoloop

We do not hand over and leave.

  • We stay after launchMost agencies hand over and leave. We run what we build: monitoring, fixes with response targets, security updates, a monthly report, and 99.9% uptime across the systems we operate.
  • Built for patchy connectivityFields, packhouses and cold stores are not offices. We design for intermittent signal from the start, with local capture and sync that resolves conflicts rather than losing a morning of records.
  • Seasons drive the planA missed week in February is an inconvenience. A missed week in harvest is money. We sequence work around your calendar and freeze changes when the pressure is on rather than shipping into it.
  • AI put into production, not demoedWe have put agents and copilots live with guardrails, monitoring and rollback. That is the hard part. A model that answers well in a demo is not the same as one you can trust on a Sunday.
  • Ready-built systems where they fitAttendance management, garage management and an LMS for induction and competency records already exist as products. Where one fits your operation, you pay to shape it, not to build it twice.

What you get

Every engagement includes these, in writing, before work starts.

  • A field and season record holding soil tests, applications, scouting notes and yields in one place
  • Offline capture on phones and tablets, with sync that resolves conflicts when signal returns
  • Equipment job cards, service schedules and parts usage, per machine and per operator
  • Batch traceability from field to despatch, with an audit pack you can export
  • Seasonal clock-in across sites, piece rate and day rate, reconciled to payroll
  • A monthly report covering uptime, incidents, fixes shipped and what we recommend next

Who this is for

Three situations where this is the right call.

Records live in spreadsheets and notebooks

Field data sits in one workbook, application records in another, and the audit pack is rebuilt by hand every year. You want one system that holds all of it, entered once, in the field, by the person who did the work.

An agritech product with no engineering team

You have the agronomy knowledge and a clear idea of the product, but nobody in-house to build it. You need someone to build it, put it live, and stay on it when growers start using it in the middle of a season.

Labour costs nobody can explain

You run gangs across several sites on a mix of piece rate and day rate, and the hours that reach payroll never quite match the hours worked. You want clock-in that holds up to scrutiny, and numbers you can act on mid-season.

Questions

What buyers ask us first.

Have you built software for agriculture before?
We have not published an agriculture case study, so we will not claim a track record in the sector. What we do have is the underlying work: AI agents and copilots running in production, attendance management live across three manufacturing plants, an ERP for a machinery business, and websites and stores. Field records, equipment maintenance, batch traceability and shift-based labour are familiar problems in different clothing. On the call we will tell you plainly which parts we have built before and which parts would be new for us.
What does it cost, and how does an engagement work?
It starts with a 30 minute call. From that we write a fixed scope, timeline and price before any build work begins, so you are approving a number rather than an hourly rate that drifts. Price depends on how much is new: shaping one of our ready-built systems, such as attendance, costs less than a field data platform built from scratch. After launch the managed retainer is a separate monthly fee covering monitoring, fixes to response targets, improvements, security updates and a monthly report. You can take the build without the retainer, but we would rather you did not.
What happens after launch?
Launch is the start of the run phase, not the end of the project. We monitor the system, fix what breaks against agreed response targets, apply security updates, and make improvements as the season exposes them. Each month you get a report: uptime, incidents, what we fixed, what changed and what we think should come next. We hold 99.9% uptime across the systems we operate. In practice it means that when a clock-in terminal fails at five in the morning during harvest, someone is already looking at it rather than waiting for a ticket.
Will it work in fields with no mobile signal?
Yes, if it is designed that way from the start, which is how we design it. Capture happens on the device: the app holds the record locally, timestamps it, and syncs when signal returns, whether that is at the gate, the yard or the packhouse. The hard part is conflict handling rather than storage. Two people editing the same field record offline must not overwrite each other, so we agree those rules during scoping rather than discovering them in week three of the season. We also keep screens usable in gloves and in bright sun.
Can you connect to our machinery telematics and agronomy platforms?
Usually, and it depends on the API. Most machinery telematics, weather station and agronomy platforms expose data through an API or a scheduled export. We map what you already pay for, connect what can be connected, and import the rest on a schedule rather than asking anyone to retype it. Where a platform has no usable interface, we say so early rather than promising an integration that quietly turns into manual work later. Nothing gets torn out to make our system look tidy: the aim is one place to read from, not one more system to fill in.
Can we trust AI with agronomy and compliance records?
We build AI agents and copilots, and we only put them live with guardrails, monitoring and a rollback path. In an agri setting the useful ones are narrow: answering what was applied to a field and when, from your own records; drafting a first response to an audit question; triaging an equipment fault before someone drives out to it. The rule we hold is that the agent reads and drafts, and a person approves anything affecting a compliance record, a payment or a spray decision. If it cannot answer from your data, it says so rather than filling the gap.

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Energy & Utilities

Asset monitoring, field service scheduling, compliance reporting and outage handling.

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Automotive & Mobility

Multi-branch garage management, bay utilisation and service reminders — nine branches on one system.

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Book a 30 minute call about your farm or agritech system

Bring your worst spreadsheet and the week of the year when everything falls over. You leave with a view on what we would build, in what order, and roughly what it would cost. No deck, no obligation.

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