Speech recognition, tuned for how Australia talks
The first job is turning sound into words, and it's where generic systems fall down.
A model trained mostly on American English hears "Woolloongabba" or "Prahran" as a
string of bad guesses. Bella's recogniser is tuned for Australian English and the
suburb and street names guests actually say — so the transcript that everything else
depends on is right from the start.
Understanding, not keyword-matching
"Have you got anything for four-ish around eight?" isn't a keyword — it's a request
with a party size and an approximate time. Bella reads it as one intent, extracts the
details, and fills in the blanks by asking, the way a good host would. There's no menu
to navigate and nothing to press.
Checked against your real diary
Before Bella offers a time, she reads your live availability — so she only ever
proposes a table that genuinely exists, and the confirmed booking writes straight to
your dashboard. No double-bookings, no reconciling scribbled notes at the pass.
A human in the loop, by design
This is the part that makes an AI safe on a real phone line. Every response carries a
confidence score. When it's high, Bella handles the whole call. When it drops — a
tricky request, a name she can't quite catch — she stops guessing, takes the caller's
details, and flags your team to ring back. A low-confidence moment becomes a callback,
not a wrong booking.
Fast enough to feel human
None of this is useful if it's slow. Bella answers in under a second and keeps the
conversation moving at a natural pace, so callers get the brisk, friendly experience
they'd want from your best host on a quiet night — not a laggy robot.
Your records, kept in Australia
Your booking records are stored in Australia, call recordings auto-delete after 30
days, and nothing is used to train AI models. BitePerk is Privacy Act compliant, and
the bookings — and the recordings — stay yours.