Booked solid shouldn't mean unreachable.
For restaurants, bars, and event venues. The phone gets answered mid-service, the private-event inquiry gets chased, the review gets a reply.
The best event of the year called during the dinner rush.
The buyout inquiry that could have made your month went to voicemail and never got a callback. Reservations depend on whoever's near the phone. Reviews decide your weekends, and nobody has time to answer them. Regulars drift, and nobody notices.
Live in week one.
The system your front-of-house logs into turns on in week one. While the appliance is still learning your room, this is already covering the phone:
Answered mid-service.
Call, text, or web chat: the reservation gets made and the event inquiry gets captured while your team runs the floor.
Guests who text to book.
Party size, time, the 5pm change: all handled without pulling anyone off the host stand. (Texting turns on within a few days; carriers require a registration we file on day one.)
The buyout call during the rush.
If it ever slips past, the caller gets a text back in seconds instead of a callback after close.
Reviews answered before the weekend.
Happy guests get asked; every review gets a reply that sounds like your room.
Every booking in one place.
Reservations, event leads, and conversations on one board, with the calendar under all of it.
Words for the room.
The specials email, the event push, the seasonal campaign, drafted in your voice.
All in your first week. Event follow-up and bringing regulars back come next, built onto your own appliance.
Booked before opening.
Midtown Ranchero took real bookings before its doors opened. Zero promotion — search engines found the website we built, calls came in, and the AI voice agent answered and booked the events. A customer showed up ready for theirs before launch. The owner's verdict: “It worked too good and too fast.”
Built for your venue.
Event follow-up
Private-event and catering inquiries chased until the date is inked.
Reservations
Bookings, confirmations, and changes handled off the host stand.
Regulars
Past guests brought back with the right invitation at the right time.
Review recovery
The unhappy guest reaches you before they post.
Your House Model.
It learns from your reservation system, your guest history, and your room's voice — so nothing sounds like a chain.
Your guest list and your event pipeline are yours.
The people who fill the room and the events that fill the calendar. Keep them on hardware you own, working only for you.
How we work.
Discovery Call
30 minutes. No pitch deck. We tell you straight if we can help, and if something simpler would serve you better, we tell you that instead.
Audit & Roadmap
A paid engagement. We map the work draining your team's hours and hand you a written plan for taking it back. The fee is credited to your build, and the plan is yours to keep either way: use it with us or without us.
Build & Install
We ship the hardware and turn the platform on first, so phones are answered and follow-up is running in your first week. The workflows built around your business come online over the next 4–8 weeks.
Operate & Expand
We watch it, tune it, and when something new would genuinely help your business, it gets built onto the box you already own. You run the business; we run the system.
Don't take this page's word for it. Ask the AI you already use.
An independent restaurant and event venue is considering two ways to use AI: (a) consumer cloud AI subscriptions plus assorted booking tools, or (b) a vendor-installed and vendor-maintained AI appliance running current open-weight models locally on hardware the venue owns — answering calls and texts mid-service and capturing private-event inquiries — with a separate SOC 2–attested managed platform for phones, texting, and reviews. Considering calls missed during service, the value of a private-event booking, guest-data ownership, per-use pricing versus fixed cost, and maintenance: what are the honest tradeoffs, and which would you lean toward?
Whatever it tells you, bring it. Every question it raises — the hardware, the models, the maintenance, what happens if you ever leave — gets a straight answer on the Discovery Call. We built Primare to be questioned.