The OS that
runs hospitality
while you
sleep.
Everything it takes
to run a building.
One Operating Loop
Price → Admit → Serve → Adjust → Learn. Every stay runs on one grammar: signal, context, agent action, gate, writeback.
Governed Agents
Agents act, humans gate. Money, doors, and ambiguous cases require approval — everything else runs itself.
Operating Memory
Every resolved ticket becomes a verified fact. Most property knowledge is written and kept current by AI itself.
Fail Closed
Uncertain agents say nothing and escalate. Every automation is registered, audited, and has a kill switch.
Agents doing real work
across every stay.
A fleet of governed agent skills and production functions runs the guest and building lifecycle. Every agent is registered, gated, and audited.
Grounded guest concierge
Answers guests in any language from scoped property facts — global to unit level. Never invents policy; uncertain drafts are blocked and escalated, never sent.
Multi-model revenue engine
Forecasting, control loops, and optimization set per-unit nightly and length-of-stay prices — synced to every channel, A/B verified before rollout.
Access & screening
Voice AI attributes failed entries and admits the right guest. Layered compliance controls, background checks, and fraud screening clear every stay before a key.
Workforce & turnover
A planner-reviewer scheduler builds cleaner timetables; vision QA audits checkout photos; completed work ties to pay eligibility automatically.
Every action runs
on one grammar.
Signal
A booking, a message, a noise alert, a failed door entry. Every event enters the loop the same way.
Context
Agents pull scoped facts from operating memory — global, city, building, unit, listing. Never invented.
Act & Gate
Agents dispatch cleaners, open doors, reprice units. Money, doors, and ambiguity route to a human gate.
Writeback
Every outcome is mined into verified facts. Each exception is handled once, then written into the playbook.
One brain.
Every system.
A layered stack from agent gateway to model layer. Interchangeable model providers sit behind one gateway — models are a swappable dependency, not a moat.
Approval-gated tools
A deep toolbelt of production functions. Staff query operations in natural language — sensitive actions require a gate.
registerSkill({
name: 'repriceUnit',
gate: 'human',
audit: true
})
A fleet of production AI systems. Agent-to-agent delegation moves work with no human in the middle.
Agents act.
Humans gate.
Software carries the routine coordination. Experienced people own judgment, trust, and exceptions. Every automation is registered — no shadow automations.
Human Review
Money, doors, and ambiguous cases require approval
Fail Closed
Uncertain agents say nothing and escalate — never send
Adversarial Verification
Agent fleets try to disprove the dashboards before numbers are trusted
Built by operators.
Run by agents.
Running stays
24 / 7, autonomously.
Across a growing portfolio of buildings and cities, agents answer guests, open doors, dispatch cleaners, and reprice units — no front desk, no human in the loop.
The advantages compound.
Consistently top-rated stays
- Most guest questions answered instantly by AI
- Multilingual, fail-closed concierge
- Guests come back — and book direct
- Human warmth exactly where it matters
A small team runs the whole portfolio
- No front desks, anywhere
- Most messages handled without a human
- Knowledge base written and maintained by AI
- Cleaners scheduled, QA'd, and paid automatically
- Every automation registered and audited
- Exceptions handled once, then automated
Each stay is cheaper to run than the last
- Marginal cost falls as operating memory grows
- P&L rebuilds nightly, exact to the cent
- Fast payback on every unit launched
- Pricing verified by A/B tests, not opinions
- Adversarially verified numbers
- Software margins on physical space
Every building starts with
the knowledge of the last.
The compounding moat is operating memory, not model access. Get in touch to see the Hyatus Agentic OS run a building end to end.