Aggarly is five connected modules that replace a stack of disconnected tools. Each one does one job exceptionally well — together they run your entire operation.
Five capability groups. One data model. Built so a single host can start in minutes and scale to hundreds of units without switching systems.
Two-way sync with Airbnb, Booking.com, Vrbo, and your direct site. Pricing, availability, and reservations move in real time across your entire portfolio.
Every message from every channel lands in one thread per reservation. AI drafts in Arabic and English, tuned to your tone, always ready for a human yes-or-send.
Cleaners, maintenance, transport, photographers, laundries — all on-platform. Jobs dispatch automatically from the reservation. Everyone gets paid through Aggarly.
Trigger-based workflows handle the routine. AI handles the conversations. You get a decision layer that shows what's working, what's not, and where to grow.
Spin up a direct-booking website tied to your live inventory. Keep the guest, keep the margin, build a brand that isn't rented from an OTA.
When a guest sees $210 for a Friday in August, Aggarly can show you exactly how the engine got there. Eight deterministic stages, in a fixed order, with the math at every step. No prediction. No magic. Just the trace.
Sample trace for a single sellable, peak-season weekend.
Aggarly is built like a product, not a pitch deck. Here's the inside of a typical operator's day.
A single screen showing every live reservation, every dispatch, every exception across your portfolio. Designed for portfolio managers running 50 units or 500.
Aggarly's architecture is committed to the same things our customers ask of us. Every pricing decision is traceable; every guest quote is locked; every workspace is sealed; every recommendation is observational. No black boxes.
Same inputs, same output — byte for byte. No black-box ML guessing your prices, no hidden randomness, no surprise behavior between sessions.
Every pricing change, parity match, and override is logged with actor and timestamp. When a host asks why Friday went from $200 to $185, the answer is in the log.
What the guest sees at 09:59 is what they pay at 10:01 — even if the host changes a rule at 10:00. The booking flow snapshots the price; the engine never gets re-consulted at submit time.
Every model, query, index, and Celery task is keyed by workspace_id first. Workspace A's rules cannot affect workspace B's prices. Ever. The tenancy wall is hard.
We never claim signals we don't have. No "AI predicts", no "the best price", no "competitors are charging". We report what we measured — your judgement matters here.
Open a fully-loaded sandbox in your browser. No signup, no sales call, no spreadsheet — just the platform with a real portfolio behind it. Convert it to your workspace when you're ready.