Case Studies

Starshine Clean started as a small family cleaning business juggling notebooks, screenshots and late-night admin. Jobs were won on gut feel, quotes were written in Gmail, and nothing lived in one place.

BU1ST deployed a local Starshine HQ stack: quotes, scopes, job notes and client history all run on a single iMac in the office. CleanForce AI builds consistent scopes, SnapQuote handles the photos, and Tadow drafts emails that still sound like the owner.

The result is a business that feels twice as big without hiring extra admin – and every client interaction still comes from a human, not a platform.

A three-person crew in Western Sydney were drowning in “quick look” requests: texted photos, vague descriptions and clients wanting prices on the spot. Every quote meant stopping work, opening spreadsheets and guessing from memory.

We rolled out SnapQuote AI on a local laptop they already owned. Now each job starts with a quick photo set – rooms, switchboards, fences, whatever is on site. SnapQuote suggests a scope, materials and price band, and the crew tweak it in their own language before sending.

They still decide the final numbers. SnapQuote just removes the hesitation and makes every quote feel like it was written on a good day, even when they’re exhausted.

A coastal council and a university field team were trying to track invasive species along walking trails. Photos lived in shared drives, plant IDs were scribbled in notebooks, and nobody trusted that the dataset was complete.

Flora AI was installed on a small field laptop and a set of offline-capable phones. Students snap plants as they walk; Flora suggests species, flags possible weeds and logs GPS, time and habitat notes into a clean local dataset.

Back on campus, the team exports straight into their reporting templates and mapping tools without any cloud pipeline. The council gets clear, visual evidence of what’s spreading and where to focus work.