AI data analytics for veterinarians.
Built for the veterinarian who's already tried the off-the-shelf option and bounced off it.
How it works in New Zealand
We find the one workflow costing veterinarians the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Bookings, reminders and clinical notes handled by AI, with client records protected under the Privacy Act 2020.
What AI data analytics actually do
Stop digging through dashboards. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
We'd call the engagement a success when veterinarians are using the system without thinking about us. Owners check the business in 2 minutes instead of 2 hours. Kiwi Dynamics
Built differently, on purpose.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Small crew or big organisation, the busywork is the same :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
The two or three things that decide whether this works for veterinarians.
Vet clinics run on bookings, recalls, and after-hours emergency calls, with a small front-desk team trying to do all three at once.
Between surgery schedules, vaccine recalls, and owners calling mid-panic, the phone and the inbox are where clinics lose the most time.
Good questions, answered
Can you walk us through a comparable build?
Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Owners check the business in 2 minutes instead of 2 hours.
How fast could we have AI data analytics in production?
Eight to ten weeks for most veterinarians. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What if our veterinarian doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI data analytics specifically, we typically run that work on DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK and assume messy starting conditions from day one.
Can it keep track of ACC levies?
Yes. ACC work levies are set by the classification unit your work falls under, and self-employed people are invoiced after filing their tax return.
Do you respond to government tenders?
Most large government contracts are advertised on GETS, the Government Electronic Tender Service, where suppliers register with RealMe.
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