Eating pattern
Meal and bowl visits viewed over time.
Science & trust
Your cat is the
reference point.
AI-Tails One is built around a simple scientific principle: a change means more when it is understood in the context of that cat’s own patterns.
It observes everyday signals around the station, builds an individual baseline over time, and helps make meaningful change easier to see.
AI-Tails × Zurich Animal Clinic
Learn to notice what your cat cannot say.
A six-part conversation with veterinary professionals about understanding your cat’s familiar behaviour, recognising change and knowing what to document.
Produced with Zurich Animal Clinic. General veterinary education, not AI-Tails product validation or a substitute for veterinary care.
Why cats can be difficult to read, and which everyday changes deserve closer attention.
What it pays attention to
Four signals.
One clearer context.
A single moment rarely tells the whole story. AI-Tails One brings related observations together over time.
Drinking pattern
Drinking sessions placed in everyday context.
Temperature trend
Temperature patterns compared with recent history.
Anomaly detection
Meaningful deviations from your cat’s own baseline, flagged early and calmly.
See the signals in context
Not a snapshot. A pattern over time.
Explore how each signal can be shown against the same cat’s recent pattern.
Last 7 days · visits / dayDeviation from baseline
MonTueWedThuFriSatSun
Eating dropped below her usual week — a small sign on its own, worth noticing
One deviation alone may be small — changes across several signals together are worth a closer look.
See what changedThe shaded band is this cat’s own Mon–Fri normal — not an average cat.
01
Learns her normal
The first weeks build an individual baseline — her meals, her drinking, her rhythm.
02
Detects the anomaly
When signals drift beyond her normal, AI-Tails flags the deviation the day it happens — not as an alarm, but as a clear note.
03
Tells you, calmly
What changed, when, and how it compares to her baseline — so you can decide when a vet visit makes sense.
The individual baseline
Normal is personal.
And it takes time.
AI-Tails learns from repeated everyday interactions. The result is not a score against an average cat, but a clearer view of what is usual for yours.
Baseline confidence — day numbers are not a guaranteed timeframe; every cat is different.
M
Milo
Day 28 with AI-Tails
An anomaly appears
Today’s signals are checked against Milo’s own baseline — meaningful deviations get flagged together.
- EatingFewer visits than her usual 6–7
- DrinkingTrending above her usual range
- TemperatureOutside her recent baseline
- AppearanceEyes and face look different from usual
Several signals drifting from her own baseline may be a sign something is up — worth a closer look, and a conversation with your vet if it continues.
AI-Tails does not diagnose. It helps you decide when to check in — or talk to your vet.
Our evidence standard
Trust is built by showing the work.
Leading health-technology brands separate what a product does from what research has validated. We apply the same discipline: confirmed capabilities are stated clearly, while scientific claims require appropriate evidence.
Transparent methods
We explain what is observed, how it is placed in context, and what the output can — and cannot — mean.
Appropriate comparison
Scientific claims should be assessed against a relevant reference, not a convenient benchmark.
Real-home relevance
Evaluation should reflect the different cats, households and routines the product is designed to support.
Limits made visible
Methods, limitations and sources belong beside a claim, not hidden behind marketing language.
The veterinary boundary
A clearer conversation — never a replacement for care.
AI-Tails supports wellness awareness and pattern observation. It does not diagnose, treat, cure, or prevent disease. If you are concerned about your cat, contact a qualified veterinary professional.
Scientific references
Context, not borrowed proof.
We distinguish independent field research from evidence about AI-Tails itself. External literature can inform our methods, but it is never presented as validation of AI-Tails One.
Real-world validation of digitally classified animal behaviourIndependent canine wearable research · Animals, 2021 · General field context, not AI-Tails validation.Owner response to digital activity alertsIndependent canine observational research · Frontiers in Veterinary Science, 2023 · General field context, not AI-Tails validation.
AI-Tails-specific methods, limitations and results will be linked here when they are approved for publication.
From evidence to everyday care
Meet the station that learns your cat.
AI-Tails One brings eating, drinking, temperature trends and routine into one individual picture — with nothing for your cat to wear.
- Passive observation
- Individual baseline
- Clearer context
Join the waitlist
Expected shipping: Q2 2027.