Promise feasibility before commitment.
Check what the hotel can actually deliver — room, stay, team, supplies, partners, policy — then commit with confidence.
The AI-native operating layer for hotels. See the whole operation. Act on what matters. Right action, right owner, right time — with a person approving every consequential move.
A hospitality day changes faster than static plans can follow. Nobody has the whole picture of what the guest was told, what it depends on, and whether it happened — and every missed connection becomes a service, cost, or margin risk.
knows rooms.
knows covers.
knows everything else.





Imagery · Maravé, a synthetic demonstration property

Detect what is happening. Reason about what it affects. Recommend the next move, with the reason attached. Coordinate the people and partners. Ask a human to approve. Every role sees its part of the same graph on a device built for where it works.




See a next action, a route, and the evidence to capture — on a tablet that works offline.

Sees arrivals, departures, and requests with the dependencies already checked.

See exceptions and tradeoffs ranked, with a receipt behind every decision.

See one clear status and a real alternative when plans change.
Real screens from the current build on Maravé, the synthetic demonstration property. The same promise graph, seen from the office, the desk, the floor, and the guest's hand.







Requested, committed, accepted, executed, evidenced, acknowledged — the record that makes the operation auditable and the story provable.
Check what the hotel can actually deliver — room, stay, team, supplies, partners, policy — then commit with confidence.
Guests see one status; the hotel sees the dependency chain and who owns each link. Finishing a task does not mark the promise kept; evidence does.
Weather, capacity, and supply problems become explained alternatives with the impact previewed, not apologies after the fact.
Requested, committed, accepted, executed, evidenced, acknowledged — the record that makes the operation auditable and the story provable.
One event plan moves prep, labor, bar stock, room turnover, and maintenance together. Forecasting reads the day before it happens. Receiving, waste, vendors, and invoices close the loop between what was planned, ordered, and delivered.





Start manual with governed evidence and add integrations when you're ready. Kept fits around the existing stack — PMS, POS, accounting, payroll — instead of forcing replacement. The same person can cover the desk, the experiences, and duty management from one queue.

Independent full-service hotels sit between enterprise platforms built for chains and point solutions that each own one slice — and none of them know whether the hotel kept its promise. Kept targets the operational layer above the PMS with a promise-centric model, purpose-built role experiences, graduated autonomy, and a manual-first path that opens properties without sophisticated systems, including in markets competitors serve poorly. The investor demonstration shows guided arrival, experience-recovery, and room-service journeys end to end on a synthetic property with private server records and outcome receipts; a pilot property is the next milestone. Market sizing, pricing, and pilot evidence are supplied in the investor overview.
Guided arrival, experience-recovery, and room-service journeys, end to end, on a synthetic property.
troy@auxerion.com