Livestock data & dashboards
One number for what's actually happening on your operation, pulled from the systems and files it's currently scattered across.
One dashboard your yard, your office, and your outside files can all agree on.
Most livestock and ag operations don't have a reporting problem so much as a truth problem: the office has one count, the yard has another, and the file that's supposed to reconcile them lives on somebody's laptop. We build the layer underneath: pull data out of the scale head, the reader, the spreadsheet, or the outside file it's stuck in, and put it somewhere everyone agrees is correct.
We can connect to readers and scale heads that expose their data over Bluetooth, serial, or a file export, and we build dashboards a person can actually read on their phone in the yard, not a report that needs a training session. Outside files from a dairy, a feedlot, or a packer get matched back to your own animals or loads by ear tag or reference number, and anything that doesn't match is held for a person to check instead of silently dropped, the same rule that holds up a per-animal trace from source to carcass.
Access is scoped the same way the rest of your system is: a depot manager sees their depot's numbers, an owner sees the whole operation, and payroll or settlement data isn't visible to either by accident.
- 01Reads from scale heads and readers that expose their own data (Bluetooth, serial, or file export)
- 02Outside Excel files from dairies, feedlots, or packers matched back by ear tag or load reference
- 03Unmatched rows held for a person to check, never dropped silently
- 04Dashboards built to be read on a phone in the yard, not just at a desk
- 05One source of truth instead of a count that disagrees between the office and the yard
- 06Access rules by role: a depot manager sees their depot, an owner sees everything
Scope, then a real number.
Quoted from your brief. We start by reconciling the two counts that disagree the loudest, because that's the argument the dashboard has to settle.
Every project is quoted from your own brief. No packages, no tiers, and no published price to reverse-engineer your scope from.
Get a quoteLivestock data and dashboards across the Midwest.
Michigan, Ohio, Illinois, Indiana, and Wisconsin are the five states we actively sell into, and we work with livestock and ag businesses anywhere in the US. Mule works remotely, over calls, video, and shared screens, and comes on site when a project needs it; travel is quoted with the work.
- MI
Livestock data and dashboards in Michigan
Dairies, hog and beef producers, and the haulers between them.
- OH
Livestock data and dashboards in Ohio
Dairy, egg and poultry country, from Wayne County out.
- IL
Livestock data and dashboards in Illinois
Hog production and cattle feeding, downstate and out.
- IN
Livestock data and dashboards in Indiana
Hog and poultry country, plus the NE Indiana dairy corridor.
- WI
Livestock data and dashboards in Wisconsin
America's Dairyland: dairies, calf raisers, and haulers.
- US
Outside those five states, we still take on livestock and ag work anywhere in the US. Ask, and tell us where.
All service areas
Can you pull data off our scale head or EID reader?
If it exposes its data over Bluetooth, serial, or a file export, yes, we build the connection. We check what your specific hardware actually exposes before quoting, because that's what decides whether it's a straightforward read or a harder one.
We get Excel files from a packer or a dairy that never match our own records cleanly. Can that be automated?
Yes, this is a common shape of build. Files get matched back to your animals or loads by ear tag or another shared reference, and any row that doesn't match cleanly is held for a person to review rather than dropped or guessed at.
Do we need a data warehouse, or is that overkill for us?
For most operations, no. It's usually a managed database, a few scheduled imports, and dashboards, sized to what your operation actually runs, not an enterprise product you'll never use most of.
Can a dashboard show a per-animal trace, from purchase to sale?
Yes, if the underlying records connect the way they need to. A per-animal trace from source to carcass can be built by pulling purchase, depot, grower, and packer records and matching them by ear tag.
Who can see what on the dashboard?
Whoever you say. A depot manager sees their own depot, an owner or manager sees the whole operation, and sensitive numbers like settlement or payroll data aren't visible to either by accident.
More livestock & ag software.
Describe the job.
A sentence or two about what you need is enough to start. We ask a few questions, then a person writes back with the scope, the timeline, and a quote with the line items behind it.
Your domain and your data are yours on every plan, whatever happens. We do not hold a domain or your customer records hostage, not even if you stop paying. Ask and we hand your data over.