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SevenRooms

Hospitality guest experience and retention platform

Overview

SevenRooms offers a guest experience and retention platform for hospitality, uniting reservations, takeout, feedback, and loyalty across properties in one system. It builds a single guest profile by combining data from on- and off-premise interactions and uses automation to standardize service and save staff time. Revenue comes from a subscription, and the platform provides insights for personalized marketing and cross-channel sentiment tracking. By blending operations and marketing in one data-driven platform, SevenRooms helps hospitality businesses improve guest experiences, foster loyalty, and drive repeat visits.

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About SevenRooms

Simplify's Rating
Why SevenRooms is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise Software

Company Size

201-500

Company Stage

Acquired

Total Funding

$71.5M

Headquarters

New York City, New York

Founded

2011

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Simplify's Take

What believers are saying

  • Channel Connect launched June 16, 2026, and expanded SevenRooms' integration surface immediately.
  • SevenRooms' July 21, 2026 AI tools deepen recognition, segmentation, and premium-experience monetization.
  • Deliveroo reservations via SevenRooms, live in Dubai, extend DoorDash's international hospitality reach.

What critics are saying

  • OpenTable's April 2026 gatekeeper policy directly attacks SevenRooms' channel-access strategy.
  • DoorDash can rationalize SevenRooms headcount and markets after the June 2025 acquisition.
  • Free Channel Connect commoditizes SevenRooms' core workflow and weakens paid conversion.

What makes SevenRooms unique

  • SevenRooms owns guest data and marketing automation across reservations, ordering, and events.
  • Channel Connect, launched June 16, 2026, unifies rival booking channels without exclusivity.
  • DoorDash ownership connects SevenRooms to delivery, reservations, and guest signals across channels.

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Funding

Total Funding

$71.5M

Above

Industry Average

Funded Over

9 Rounds

Notable Investors:
Acquisition funding comparison data is currently unavailable. We're working to provide this information soon!
Acquisition Funding Comparison Coming Soon

Benefits

  • Unlimited Paid Time Off
  • Paid Parental Leave
  • Comprehensive Medical, Dental, and Vision Benefits
  • Life Insurance
  • 401(k) Retirement Plan
  • Company Equity
  • Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Alliance Creative Group
Sep 22nd, 2026
Peoplevine secures growth capital investment from Recurring Capital Partners.

Peoplevine secures growth capital investment from Recurring Capital Partners. Posted on 9/22/2026 Posted By: Paul Sorkin Financing to Accelerate Peoplevine's AI-Driven Product Roadmap and Global Expansion Across Private Clubs and Luxury Hospitality CHICAGO - [September 22, 2026] - Peoplevine, Inc., a technology company building the future of membership platforms for private clubs and luxury hospitality operators, today announced it has secured a multi-million dollar growth capital investment from Recurring Capital Partners (RCP). The financing will accelerate Peoplevine's AI-driven product roadmap and support the Company's continued global expansion. Peoplevine's Member Experience & CRM platform enables private clubs, hotels, resorts, stadiums, and other membership-driven hospitality operators to build stronger member relationships and drive revenues across the member lifecycle. The Company serves clients in 20 countries around the world across the private club and luxury hospitality market. The new capital will further accelerate Peoplevine's AI roadmap toward a system of identity & intelligence - giving operators a single, complete view of every member across all their hospitality systems, creating exceptional experiences that make members feel truly known while driving revenue growth. The financing will also support Peoplevine's global expansion, extending the Company's platform and support to private club and luxury hospitality operators in new international markets. "We are excited to partner with RCP and leverage this investment to accelerate our delivery of meaningful AI capabilities for our customers and our global expansion, delivering best-in-category technology for modern membership experiences across private clubs and luxury hospitality operators around the world," said Boren Novakovic, CEO, Peoplevine. "This capital accelerates our AI roadmap toward a true system of intelligence - giving our clients a single, complete view of every member across every system they run, and turning that into personalization, automation, and insight that drive real results," said Jordan Gilman, CTO & Co-Founder of Peoplevine. "Peoplevine has a proven track record of driving growth through innovation in the hospitality private club market," said Brian Henley, Managing Partner at Recurring Capital Partners. "Peoplevine is exactly the kind of high-growth, capital-efficient, company we're excited to support, led by a proven management team. We look forward to fueling their continued success and innovation." About Peoplevine Peoplevine is a leading modern technology platform for member experiences, purpose-built for private clubs and luxury hospitality operators, including hotels, resorts, stadiums, and restaurants. Its integrated Member Experience & CRM platform helps operators acquire, check in, engage, retain, and grow their membership through a single system of record - increasingly powered by AI-driven member intelligence. Peoplevine integrates with leading hospitality and payments platforms, including Toast, Micros Simphony, Lightspeed, SevenRooms, OpenTable, Mews, Oracle Opera Cloud, Agilysis, Tripleseat, and others, and serves clients in 20 countries around the world. For more information, visit www.Peoplevine.com. About Recurring Capital Partners. Recurring Capital Partners provides growth capital to SaaS technology companies. Combining deep operating experience with startup finance expertise, the firm partners with founders and management teams to accelerate growth, manage business and personal risk, and help capital-efficient software businesses scale. Media contact. [email protected]

Phone Assistant
Aug 29th, 2026
Bubo vs. Slang.ai: AI phone assistant for Restaurants.

Bubo vs. Slang.ai: AI phone assistant for Restaurants. Bubo and Slang.ai are both voice AI systems built specifically for restaurant phone calls, with genuinely different focal points. Slang.ai is a well-established, highly rated US platform built around reservations and guest questions for full-service dining. Bubo covers the same ground and extends into completing phone orders and collecting payment during the call itself - a distinction worth understanding before choosing between them. Everything below about Slang.ai comes from Slang.ai's own website and from its G2 profile, checked in August 2026. Slang.ai was not asked to review this comparison, and vendor pages change - check theirs directly before deciding. What Slang.ai actually does. Slang.ai is a US company positioning itself as "The AI Superhost for Restaurants", offering a voice assistant that answers calls, handles reservation conversations and answers guest questions. According to Slang.ai's own site it integrates with major reservation platforms including OpenTable, SevenRooms, Tripleseat and Yelp for what it calls "end-to-end voice booking", and includes VIP call handling that recognises frequent or known diners and routes them straight to staff, past the assistant. Slang.ai states it measures customer satisfaction on every call and reports 96%+ guest satisfaction. It holds 4.4 out of 5 from 50+ reviews on G2 - the strongest independent review profile of any provider looked at for this series, and worth weighing seriously if outside validation matters to your decision. Slang.ai provides a new dedicated phone number by default, though keeping an existing one can be arranged with its onboarding team. It is positioned for full-service, upscale and multi-unit restaurant groups - places where reservations and a polished guest experience matter more than getting through a high volume of phone orders. Where Bubo and Slang.ai genuinely differ. Completing phone orders. This is the most significant difference, and worth being careful about how it is known. Slang.ai's own feature and pricing pages describe reservation booking, FAQ handling, capturing special requests and VIP routing; order-taking with modifiers is not among the capabilities they list. That absence is the solid part of the claim, and it comes from Slang.ai's own pages. Beyond it, several third-party reviews describe Slang.ai as directing callers to a restaurant's existing online ordering rather than completing the order in the call. Two of those sources sell order-taking themselves and so have an obvious interest in framing it that way; a more neutral telephony roundup says the same. Read that corroboration for what it is - consistent, but not disinterested. Bubo's own mechanic for restaurants and retail is to walk an order item by item and log it for the business's approval, priced server-side from the real menu, which is a different job from the one Slang.ai is built for. Language support. Independent reviews describe Slang.ai's support as primarily English with Spanish in select cases - narrower than several other providers in this series. Bubo answers in 70+ languages with no fixed shortlist, detected per caller rather than picked from a preset. Payment and deposits. Slang.ai's stated features cover reservations, guest questions and satisfaction measurement; in-call payment or deposit collection is not described among them. Bubo can send a payment link over WhatsApp or take a deposit as part of the booking sequence. Which restaurants each is for. Slang.ai is explicitly aimed at full-service, upscale and multi-unit groups with heavy reservation-platform usage. Bubo does not restrict itself to that profile and extends into faster, order-heavy contexts where finishing a phone order matters more than a concierge-style reservation experience. Where you are, and where the data is. Slang.ai's named integrations are US restaurant platforms, and the pages reviewed here do not publish an EU data-handling position. Bubo hosts in the EU by default and is built around GDPR and the EU AI Act's disclosure rules. For an EU restaurant that difference is worth settling before anything else on this list. Pricing. Slang.ai's pricing varied more across sources than its feature set did: a Starter tier listed around $299 a month for one location on G2, other sources citing a Core plan around $379-399 a month often billed annually, and a Premium or "Superhost" tier reported between $450 and $600 a month per location for extras like custom voice branding. Some of that spread probably reflects annual versus monthly pricing not being clearly separated in the sources. Its own plans are on the pricing page. Given the spread, and that Slang.ai's plans are explicitly per location, a multi-unit group especially should ask them directly rather than budget from any figure found online - this one included. The real cost of a missed call is the other half of that sum. Which one actually fits your business. Slang.ai is a strong fit for a full-service or upscale restaurant, or a multi-unit group, that mainly wants reservations and guest questions covered with a polished, well-reviewed voice experience, and where phone orders are not the channel being optimised. Bubo is the better fit where phone orders are a real revenue channel and finishing them matters rather than deflecting to an online menu, where callers arrive in several languages, or where taking payment during the call is a priority - and for an EU business, where the data sits. As with any vendor comparison, testing both against your own calls beats reading either company's pages. How to choose an AI phone answering service sets out what to test for, and a demo is built around your own menu. Frequently asked questions. Is Slang.ai GDPR compliant? Slang.ai is a US company, and the pages reviewed for this comparison focus on US restaurant platform integrations rather than a published EU or GDPR position. If you operate in the EU and are considering Slang.ai, settle its data handling directly before deciding - Phone Assistant could not answer it from what they publish. Does Slang.ai support languages other than English? Independent reviews describe its support as primarily English, with Spanish available in select cases - narrower than several other providers. Confirm current language support directly with Slang.ai if your guests arrive in more than one language. Can I switch from Slang.ai to Bubo? In most cases yes, though Slang.ai issues a new dedicated number by default rather than keeping your existing one as the standard path. Check with their onboarding team about your own number situation first, since that affects how straightforward the move is. Does Slang.ai take payments during a call? Slang.ai's stated features focus on reservations, FAQ handling and satisfaction measurement; in-call payment collection is not described among them on the pages reviewed here. Confirm directly with Slang.ai if this matters to you. Which one is cheaper? Slang.ai's reported pricing varies a lot across sources - $299 to $600 a month per location depending on tier and source - and it is priced per location, which matters most to multi-unit groups. Get a current quote from both against your number of sites and what you actually need. Is this comparison biased, since it's published by phone-assistant.ai? Reasonably assume some bias in any vendor-published comparison - which is why this piece says plainly that Slang.ai's independent review profile, a genuine 4.4 out of 5 from 50+ reviews on G2, and its polished reservation experience are real and well-documented strengths, and why the one claim here that does not come from Slang.ai's own pages is labelled as coming partly from its competitors.

Modern Hospitality
Aug 12th, 2026
The Taberna launches spanish wine tastings.

The Taberna launches spanish wine tastings. 12/08/2026 Following the success of its Vermouth Tasting in July, the team at Legado is launching a series of guided wine tastings this autumn, exploring the regions, producers and traditions that shape Spain's remarkable drinking culture. The tastings will take place in the Taberna at Legado, the tapas and pintxos bar within Nieves Barragán Mohacho's one-Michelin-starred Shoreditch restaurant. The monthly series will run from September to November, with each one-hour tasting focusing on a different wine style or region. Five carefully selected pours will be served alongside two to three tapas dishes chosen to complement the wines. The evenings will capture the spirit of Spain's traditional wine bars, with guests seated together around communal tables to taste, chat and discover something new. Hosted by Head Sommelier Marcos, the series opens on 17th September with Rioja, Spain's best-known wine region and the first in the country to receive Denominación de Origen Calificada status, its highest level of recognition for quality and provenance. Guests will taste five wines while learning about the region's history, principal grape varieties and winemaking traditions, from its celebrated oak-aged reds to the more diverse styles being produced across Rioja today. Future tastings will explore Sherry and the wines of Castilla y León, offering an introduction to two more of Spain's celebrated wine-producing regions. Priced at £60 per person, each tasting includes five wines paired with two to three tapas dishes, such as Pan con Tomate, Ham Croquetas with Manchego and Gordal Olives with Orange and Oregano. The programme includes: * Rioja - Thursday 17 September * Sherry - Thursday 15 October * Castilla y León - Wednesday 11 November With just 12 guests at each tasting, the series takes place beneath the Taberna's fluted arched ceiling, inspired by traditional Barcelona craftsmanship. Serving tapas and pintxos from noon until late, the space offers an intimate setting for the monthly tastings. Tickets are available via the Legado SevenRooms events page HERE.

Nation's Restaurant News
Jun 17th, 2026
SevenRooms launches a reservations aggregator for restaurants.

SevenRooms launches a reservations aggregator for restaurants. Channel Connect will allow restaurants to manage bookings from different platforms all in one place, even if they don't use SevenRooms. June 17, 2026 Channel Connect will also sync a restaurant's inventory across channels. Reservations system SevenRooms wants to make it possible for restaurants to manage all of their bookings in one place. The company on Tuesday unveiled Channel Connect by SevenRooms, a desktop app that aggregates reservations from various booking channels into a single system, while also automatically updating a restaurants' inventory across those channels. SevenRooms, which is owned by DoorDash, said Channel Connect will free operators from having to use multiple tablets to manually reconcile double bookings. And for customers, it will mean more access to tables, because restaurants won't have to limit their inventory to certain sites. "More tables for diners, one book for restaurants," SevenRooms co-founder and CEO Joel Montaniel said in a video announcing the news. Montaniel said the program will bring restaurants up to speed with hotels and airlines, which have been handling bookings this way for years. Notably, the company is offering Channel Connect for free under an open license, meaning it will be available to any restaurant, even those that don't use SevenRooms. The company said it is designed to fill an industry need, not grow SevenRooms' business. The program will pull in bookings from reservation apps, search engines, social media, review sites, the restaurant's website, AI agents, and hotel concierges, and inject them all into the restaurant's preferred system of record, where they can be managed in one dashboard. This includes reservations from "major booking platforms," which presumably means SevenRooms' chief rivals, OpenTable and Resy. Channel Connect is able to access that data "through mechanisms those platforms already provide, using credentials and the data the restaurant controls," a SevenRooms spokesperson said. Restaurants will own the customer data within Channel Connect and will have control over who else can access it. The move comes amid fierce competition in the reservations market between SevenRooms, OpenTable, and Resy. In April, OpenTable began requiring restaurant clients to make it their system of record and make all of their inventory available on OpenTable. The company said it was an effort to protect restaurant and customer data from "bad actors" who were trying to gain access to it without permission. Channel Connect seems to be at least partially a response to that strict policy. In a blog post by SevenRooms intended to refute negative "claims" about its new system, the company references OpenTable's new terms and says "Channel Connect was built so that no single platform has to be the gatekeeper to your operations." Senior editor, Restaurant Business Joe Guszkowski is a senior editor with Restaurant Business covering technology and casual-dining chains. Subscribe Nation's Restaurant News Newsletters

PR Newswire
Jun 16th, 2026
SevenRooms launches Channel Connect to unify restaurant bookings across platforms

SevenRooms has launched Channel Connect, a desktop application that allows restaurants to manage reservations from multiple booking platforms in one place. The system synchronises reservations in real time, eliminating the need for operators to manually update separate devices and preventing double bookings. Built on an open licence, Channel Connect is available to any eligible restaurant, including those not currently using SevenRooms. Reservations from booking apps, search engines, social media, review sites and hotel concierges flow automatically into a single dashboard. According to SevenRooms' 2026 Restaurant Industry Trends Report, 40% of US operators currently manage four to five separate technology systems, with nearly 83% believing better-connected systems would improve profitability. Early adopters report significant efficiency gains, including 90% reductions in manual management time.

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