Zest launches a text-message AI concierge that books your restaurant table

Restaurant discovery startup Zest launched an AI-powered concierge on Thursday that lives entirely in your text messages, recommends places to eat, and books the reservation for you through OpenTable, Resy, and SevenRooms. No app to open, no form to fill. You text (212) 470-6067, and the agent does the rest.

The launch matters because it's part of a wider shift in how startups build on AI: conversational agents are starting to absorb tasks that used to require a standalone mobile app. Zest, founded in November 2024, is a small player testing that thesis in one of the most competitive consumer categories there is — deciding where to eat.

What does the agent actually do?

Zest's CEO, Mario Gomez-Hall, frames the move bluntly: “The agent is the product now.” In an interview, he explained how the concierge builds its picture of you: “You text it, and it answers from your own history and your friends’. It doesn’t need weeks of conversation to learn you because it starts from where you’ve actually been.”

That last clause is the mechanism behind the whole product. Zest's original app, launched earlier this year, links to users' credit cards to track where they actually eat out. The data comes in through Plaid, the financial services company that banks and budgeting apps also use. Zest says it looks only at transactions in food and drink categories, and uses that record to build a personalized map and lists of places you might like — at home or while traveling.

The new concierge takes that same taste profile and puts it into a text thread. Users can ask for recommendations by:

• cuisine, craving, or occasion
• dietary restrictions
• neighborhood
• practical questions, like how busy a place is or whether it offers Wi-Fi
• a copy of the menu, to help make the decision

It then checks availability and makes the reservation through connected booking services.

How well does it work in practice?

TechCrunch tested the concierge and reported it “worked fairly well,” returning suggestions for new places matched to personal tastes that also fit conditions like time of day, party size, and location. Finding an open table is nothing new — other apps have done it for years. But texting back and forth about options and getting available booking times in the reply has a genuine convenience factor.

The group chat feature is the more interesting wrinkle. Zest can be dropped into a group thread, where it blends everyone's tastes to find places the whole group will like. It can settle indecision with an in-thread voting feature, then book the table for the group without anyone leaving the conversation. Anyone who has watched a group chat argue about dinner for 40 minutes will see the appeal.

Why is a startup abandoning the app it just launched?

Zest began testing the concierge last month but held the launch until it could add booking. That sequencing tells you where the company thinks the money is.

“Booking and ordering are the first revenue lines. Zest books your table through OpenTable or Resy today, with food ordering coming, and there are transactions there to participate in,” Gomez-Hall said.

The bet is that Zest can monetize the transactions its agent triggers, not just the recommendations. Food ordering is coming next, which would put it in the same revenue pool as delivery and reservation platforms that already take a cut of restaurant commerce.

Zest has the runway to test that thesis, if not much margin for error. The company raised $1.8 million in pre-seed funding from Alexis Ohanian at 776 and Steve Jang at Kindred Ventures — investors with strong consumer-internet track records backing a very early bet. The startup is now shifting to texts partly in the hope of scaling beyond its initial thousands of users and generating revenue.

What's the competitive angle?

Zest's concierge arrives alongside other popular AI agents like Instinct and Poke, which also live in text messages. The startup's differentiation claim is data, not chat quality. A general-purpose assistant has to ask you questions to learn your preferences. Zest starts from your actual credit card spending history.

“The reason that gets interesting is that Zest learns your taste faster than a general assistant does, because it starts from where you’ve actually been instead of asking you questions. That’s worth something well beyond dinner,” Gomez-Hall said.

That "well beyond dinner" line is the roadmap. Over time, the startup is considering extending Zest beyond restaurants to recommendations for businesses, shopping, and more. Taste data built from real spending could, in theory, transfer to any purchase category.

The stakes cut both ways. On one hand, credit card transaction data is a richer, harder-to-fake signal of preference than anything a chat history reveals. On the other, a startup asking users to connect their credit cards through Plaid — then texting that data-derived profile to a phone number — faces privacy expectations that larger, more general assistants may escape scrutiny on.

Why the text-message interface matters

The deeper story here is about interfaces. Zest launched an app earlier this year and is already building for a future where, in its own framing, mobile apps are no longer the primary interface. If conversational agents become the default way people find restaurants, the app-store distribution model that consumer startups have relied on for a decade loses its grip.

That's why a company with thousands of users and $1.8 million in pre-seed money is moving fast. Restaurant discovery is a category where giants — Google Maps, OpenTable, Resy, Yelp — already own the default behaviors. A text-first agent that books directly is one of the few wedges a small player could still drive into that market.

For now, the test is simple: can a concierge that knows your real dining history and answers in a text thread beat the habit of opening Maps? If Zest's booking revenue materializes and the ordering feature ships, expect the company to push that taste graph into categories far beyond where to eat tonight.