Agritech & Farm Management
Kliv is an AI app builder. Describe your herd, thresholds, treatment records, withhold rules, and crew roles, and it builds a livestock health monitoring system your farm controls.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a collar vendor or a farm management package you configure — it’s an AI app builder that creates software for you.
You describe the app you need in plain words, and Kliv builds it: the data, the rules, the screens, the assistant, and the reports. What you get is a real application that’s yours. You can run it on your own domain, connect your own data feeds, and change it later by asking. It isn’t a template.
On this page, that app is an AI-powered livestock health monitoring system for a dairy herd. Kliv builds all kinds of web apps; this is one example.
The collars may already show useful signals, but those readings often sit in one app while treatments sit in a notebook and withhold dates sit in someone’s memory. That is how a cow with falling rumination gets noticed two days later, when the problem is visible.
Kliv builds one system around the farm’s own records. Collar readings arrive as rows. Your thresholds decide what is flagged. Each check, treatment, dose, and withhold date stays attached to the animal record, so the crew and the office read the same facts.
The system keeps the records a herd health process needs.
Each cow has a record with lactation number, calving dates, sensor history, flags, treatments, and notes. The herd history stays in one place.
Collar data can arrive on a schedule. Thresholds are editable farm records, so a flag is raised by your rule, not by a vendor’s default.
Every dose records animal, product, batch, who gave it, and when. An inspection question becomes a filter, not a search through handwriting.
A treatment writes its milk withhold date onto the cow. Until the date passes, the milking record will not mark that milk for the tank unless the record is deliberately changed.
A scheduled job can assemble the day’s checks from overnight flags before milking starts. The list is sorted from the records, not compiled by hand.
Here’s how one farm might use it. It’s only an example — you would describe your own herd, sensors, thresholds, treatment rules, and crew roles.
Cow 147’s rumination drops below the line Jorunn set for third-lactation cows. The reading and the threshold are both rows, so the comparison runs even when no one is awake.
Monday’s check list opens with cow 147 and the curve that raised the flag. The relief milker and Jorunn see the same record.
The crew finds early mastitis. The vet visit, treatment course, product, batch, and person who gave the dose are recorded from the pen.
The treatment writes a date onto cow 147. For four days the milking screen shows her milk as withheld, and the tank record follows that rule.
When the withhold date passes, the gate opens. The dip, treatment, and days out remain attached to cow 147 for later health and culling decisions.
Kliv builds from your description, so include the herd size, sensor source, thresholds, treatment records, and what each role can see. Here are three examples:
Collar data with thresholds per group.
“Build a herd health tool for our 320-cow dairy. Ingest collar activity and rumination data hourly, flag cows that cross thresholds we define per lactation group, and show each cow’s sensor history, flags, treatments, and current status.”
Doses with enforced milk dates.
“Build a treatment log for our dairy. Every dose should record product, batch, person, time, and animal, write the correct milk withhold date onto the cow, and block her milk from the tank record until the date passes.”
Overnight flags sent to the crew.
“Build a scheduled morning check list from overnight collar flags, out-of-range readings, and cows already under treatment. Email it to the crew before first milking and keep completed checks on each cow’s record.”
The system notices; the vet diagnoses. The assistant and rules can flag changes against thresholds you set and answer from your treatment protocols. Medical judgment stays with the vet and the farm.
The barn has roles. A relief milker can see today’s list and the withhold screen. The manager can see the treatment ledger and herd history. Those limits are enforced where the records live.
The record survives inspection. Product, batch, person, date, and the day milk returned to the tank are all stored on the cow’s history.
A herd board is often the first internal farm tool, not the last. Breeding calendars, parlor rosters, and feed contracts can use the same approach. Internal tools on Kliv covers that pattern.
Kliv is an AI app builder that creates custom web apps from a description. For a dairy, that can mean a herd health system with readings, thresholds, treatment logs, withhold rules, lists, and an assistant.
A real app. Kliv builds the database, screens, rules, and assistant around your herd and workflow, not a generic checklist.
Yes. You can change thresholds, records, lists, roles, and reports by asking for the change in plain words.
No. It notices changes against thresholds you set and keeps the record straight. Diagnosis and treatment decisions stay with the vet and the farm.
Through server-side functions that accept your collar vendor’s export or feed on a schedule. The readings become rows in your own database.
You do. Thresholds can be records the farm edits, including different rules by lactation group or other herd categories.
Not by accident. The milking record reads the withhold date from the cow’s row. Changing it means deliberately editing the record, which leaves its own trail.
Yes. A sitter for today’s checks and a manager reviewing treatment history do not need the same access. The app can enforce that at the data level.
Yes. Treatment records, batches, dates, people, and withhold history can be filtered and shown from the ledger instead of reconstructed from notes.
Animals, readings, treatments, and logs are records in a database the farm owns. They can be exported instead of trapped in a vendor screen.
Yes. The app’s code syncs to your own Git repository, and the data is stored as records you control.
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Describe your herd, sensors, thresholds, treatment logs, and withhold rules. Kliv builds the board your crew and office can both use.