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Scattered records
Health history is spread across paper, portals, and memory — impossible to search when it counts.
ivaMind builds intelligent products end to end. Our first, KuttyTail, is live in beta: a real app, real users, and real AI running in production every day. This page is a short primer on the problem we're attacking, the product, and how it's built.
Paper vaccination cards, a shoebox of vet receipts, a prescription photographed and lost in a camera roll, feeding and medication kept in one person's memory. When it matters — an emergency, a new vet, a second caregiver — none of it is in one place, and none of it is legible.
Health history is spread across paper, portals, and memory — impossible to search when it counts.
The everyday data that reveals a problem early — food, water, activity, meds — is never captured.
Families care for a pet together, but the record lives on one phone, with one person.
Log by voice or a single tap, upload any document and it reads and files itself, get breed analysis from a photo, and turn everyday logs into real health insights — all shareable with the whole family.
KuttyTail is the first client of our Pet Intelligence Platform — not the platform itself. Documents and daily logs are the first two signal sources; a wearable will be the third.
Consumer AI is easy to demo and hard to run profitably. We designed KuttyTail so that intelligence is always on, never blocks a user, and never runs up an unbounded bill.
Every AI task is routed to a preferred model with a deterministic fallback behind it. When a provider is rate-limited or down, the product keeps working — it never dead-ends on a single vendor.
Photo, voice and document intelligence run out of the request path. The app responds instantly and the AI result arrives when it's ready — so a slow or busy model is never a slow app.
The heaviest AI work — reading every uploaded document — is deliberately split off the live path onto a separate cloud that reads at its own pace. Real-time serves only what a human is waiting on; the expensive reading happens offline and can simply wait for tomorrow's free capacity. That single decision lets us run the AI at full utilisation without ever failing a user or paying for a spike.
The intelligence tier is deliberately indifferent to where data comes from. Today it reads uploaded documents and daily logs. The same path is built to take a stream from a smart collar or tag: the signal lands in the corpus, gets read off the live path like everything else, and comes back as insight. Adding a source will be an integration, not a re-architecture.
A customer's documents live in private storage, encrypted in transit, with strict read/write separation between clouds — a compromise of the AI tier can't reach or destroy a user's records. Data is deletable on request, end to end.
KuttyTail proves the model. The same engineering — routed AI, async intelligence, cost-shaped infrastructure — is the foundation for everything that follows.
Logging, records, vaccinations, insights and family sharing — a real product with real users and AI in production.
Health Checkup and a Pet Wiki built on the document corpus we're already reading — turning a year of a pet's records into guidance.
Pet wearables — collars and tags — feeding the same ingestion tier, so a pet's own movement, rest and activity join the record without anyone typing it in. Plus a social layer for pet parents, and new products on the same intelligent foundation.
We're happy to walk through the product live, the architecture in depth, and where we're headed.
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