Not a chatbot bolted on the side: AI that does a job inside the product. In our apps it answers questions about a pet, turns a receipt photo into items and reads bank statements.
Questions in plain language, answered from the user's own records, with clear limits on what the assistant does and does not do.
A photo or a file becomes structured data the app can use right away.
AI checks user content before others see it and helps run support; people make the final call.
AI runs on our backend, not in the app: limits per account and per day, server-side checks for Premium features, cached results so a repeat tap is instant, and only the data a feature needs is sent.
Built by us
Walks, meals, health and reminders for every dog and cat in the family, in one timeline that several people keep together.
Case study
A flat, a garage, a summer house — every place breaks down into shelves and boxes, and every thing remembers where it is, when it expires and when its warranty ends.
Case study
One honest number for today: what is safe to spend after every bill, budget and goal of the month is already covered.
Case studyQuestions
Yes. The feature lives on a backend with its own limits and checks, and the app calls it — on iOS, Android or the web.
Only what the feature needs. In Stowkeep voice input, speech is recognised on the phone and only text is sent; Afloat's AI features store nothing.
Limits per account and per day, a cap for the whole app, cached results and Premium checks on the server.
Contact
Tell us what you want to build or ask about one of our products. We read every message.