Tadow AI™
Private workspace for local models, documents, memory and workflows.
Designed as the core command layer for the rest of the BU1ST ecosystem.
Sovereign AI — from the ground up, not the cloud down.
Proof that BU1ST is built from real operating pressure.
Real deployments, product visuals and operating cases show how the BU1ST model works across service businesses, trades and field research.
Local-firstPrivate by designBuilt for workersRuns on your hardware
Product proof
The apps need to look real because the work is real.
BU1ST is not just positioning. The product family covers local assistants, quote engines, field reporting and operating workflows.
SnapQuote AI™
Photos and notes become quotes.
Upload evidence, build scope, preview quote and send.
ProScope AI™
Inspection to report.
Compliance, evidence, risks, site notes and approval tracking.
Case studies
Problem, system, result, proof.
Cleaning • Operations Stack
Starshine Clean – Sydney
Starshine HQ + CleanForce AI + SnapQuote EngineStarshine 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 as one operational layer. CleanForce AI builds consistent scopes, SnapQuote handles the photos, and Tadow drafts emails that still sound like the owner.
- Average quote time cut from roughly 20 minutes to under 2 minutes
- Weeknight admin reduced by roughly 8 hours per week
- Win-rate on repeat clients lifted after consistent, branded quotes
Trades • Photo-to-Quote
SnapQuote AI – Multi-trade Pilot Crew
Electrician, handyman & gardening teamA three-person crew were drowning in quick-look requests: texted photos, vague descriptions and clients wanting prices on the spot.
SnapQuote AI turns photo sets into a suggested scope, materials and price band, then the crew tweak it in their own language before sending.
- Quotes produced 4–5× faster during peak weeks
- Fewer under-priced jobs thanks to consistent logic across the team
- Crew report less arguing over numbers and more time on paid work
Environment • Field Research
Flora AI – Coastal Reserve Project
University field team + local councilA coastal council and a university field team were trying to track invasive species along walking trails. Photos lived in shared drives and plant IDs were scribbled in notebooks.
Flora AI supports structured field capture, species suggestion, GPS/time context and clean local datasets.
- Hundreds of observations logged in days instead of weeks
- Single consistent dataset instead of scattered photos and notes
- Faster reporting to council with maps, counts and species breakdowns
What this proves
BU1ST turns operational mess into reusable product architecture.
The company is not built from a pitch deck. It is built from actual work: enquiries, photos, quotes, notes, compliance, field capture and admin pressure.