SANDR · early access & paid pilots
Turn what happens on the floor into what the business actually learns.
SANDR is AI-native hospitality management software for restaurants, cafes, and multi-site groups. It captures the reality of each shift, spots recurring problems, puts the right work in motion, and helps teams remember what actually fixed the problem.
A limited number of separately scoped, paid operator pilots are available while the product is in early access.
Why we built it
Why we built it
A shift usually slips before it snaps: prep runs thin, handover gets rushed, a standards check gets missed, and tomorrow's manager has to rebuild the same fix from memory.
Read why →What SANDR does
SANDR helps hospitality teams see problems earlier, understand why they repeat, assign the right fix, and verify whether the work actually changed the operation.
Read product →Talk to SANDR
SANDR is the operating conversation between the live business, the work in motion, and the knowledge bank behind it.
Explore conversation →How the loop works
The rhythm is practical: signal, problem, work, proof, outcome, learning.
See the loop →For cafes
Cafes feel small drifts quickly: prep readiness, queue pressure, stock movement, opening rhythm, and handover gaps.
See what SANDR does →The philosophy
Better shifts are calmer, clearer, more verifiable, and easier for humans to trust.
Read philosophy →Walk through your shift
Map SANDR against your venues, teams, and recurring problems.
Map your shift →Built around the work already happening
- Check-ins
- Capture a manager’s floor note while the detail is fresh.
- Frontline
- Reflect privately and choose what is shared with managers.
- Work & proof
- Keep the response, owner, sequence, evidence, and result connected.
- Venue memory
- Find the history, files, reports, and past conversations behind the question.
Closes the loop
SANDR helps hospitality teams answer five questions every good manager already carries through service.
See what is happening, why it matters, what should happen next, and whether the fix held after the shift.
- 01What is happening?
- 02Why is it happening?
- 03What should we do?
- 04Did we do it?
- 05Did it work?