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Revenue VelocityEstablished · 5 yrs on market

Slang.ai

Voice AI phone agent for restaurants that answers every call, books reservations and captures revenue 24/7.

By Slang.ai · HQ New York, US · 4.2/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Full-service restaurants and restaurant groups that lose bookings to missed or unanswered calls.
  • Multi-location operators that want consistent 24/7 phone coverage without adding headcount.
  • Groups already on OpenTable, SevenRooms, Yelp or Tripleseat that want phone reservations to flow into their existing stack.
  • Operators who need private-event and large-party leads captured, qualified and routed quickly.
  • Restaurant teams without Spanish-speaking staff that want bilingual phone coverage.

Ideal size: 1–50 per location; any group size people · Single-location restaurants through multi-location hospitality groups

Not for

  • Quick-service or counter-service concepts with little inbound call volume and no reservations.
  • Businesses outside restaurants and hospitality; the product is purpose-built for reservation and guest-FAQ calls.
  • Teams that want to self-host, fine-tune or fully customise their own voice stack.
  • Operators needing complex multi-department call routing well beyond booking and guest questions.
  • Restaurants unwilling to connect a reservation platform, since bookings land in Slang AI and its integrations.

Value metrics scorecard

Time-to-Value

Live within days; ~30 minutes of setup

~3 days to first production value

Total Cost of Ownership

$23,940/yr

Starts at $4,788 · Priced per location, not per seat. Core from $399/location and Premium from $599/location as listed; the figure here annualises the Core list price at 12 monthly payments.

Implementation Friction

1/5

Engineering + admin effort required

Value-Position score

4.2

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Per location, not per seat; no seat minimum or tier table published

Add-on costs

  • Private Events a-la-carte module with Tripleseat integration
  • Bilingual Support a-la-carte (English/Spanish)
  • Enterprise custom workflows, custom integrations, advanced reporting and SLA-backed support, custom priced

Company & support

Who is behind Slang.ai, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
New York, US

How you get support

  • PhoneNot listed
  • EmailNot listed
  • Live chatNot listed
  • Support portal / ticketsNot listed
  • Community forumNot listed
  • Help centre / docsNot listed
  • Dedicated account managerAll plans
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Not stated

Core and Premium both list White Glove Support with dedicated customer success managers and always-on support staff; Enterprise adds dedicated support, consultation, recurring business reviews and SLA-backed support.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Slang.ai sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$2k/yr$4k/yr$11k/yr$37k/yr2d5d7d11d15dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceySlang.aiUpMenuTattleOwner.comMenufyOvation

The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.

Slang.ai is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Slang.ai
  • UpMenu
  • Tattle
  • Owner.com
  • Menufy
  • Ovation
Add or change companies

Up to 10 companies including Slang.ai. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What Slang.ai ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
NLP automation

Slang AI is a voice AI agent that answers restaurant calls, handles guest questions and books reservations, with automated AI texting on Premium. The pricing page also mentions daily retraining by its expert team. No model provider, model-hosting or AI governance details appear on the pages reviewed.

Your data & models

Trains on your data
Not recorded — ask the vendor
Runs on
Not recorded
AI pricing
Included in the plan

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 — not listedISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Slang AI is a voice AI phone agent purpose-built for restaurants. It answers every inbound call 24/7, handles guest questions, books and modifies reservations through OpenTable, SevenRooms and Yelp, routes VIPs to staff, and captures private-event leads. Vendor-reported results include 10x ROI, 96% guest satisfaction, 200+ reservations booked monthly per location and up to 200 staff hours saved monthly. Pricing starts at $399 per location for Core and $599 for Premium; enterprise is custom.

Frequently asked questions

How long does it take to get Slang AI live?

Slang AI says setup typically takes less than 30 minutes of the operator's time and that restaurants can go live the same day, with most operators live within the first week. In practice you schedule a demo, connect your reservation platform (OpenTable, SevenRooms, Yelp or Tripleseat), configure prompts and voice, and start taking calls on a new local or toll-free number.

What does Slang AI cost per location?

Published pricing is per location, not per seat: Core starts at $399 per location per month and Premium starts at $599 per location per month as listed, with Enterprise priced custom for multi-location operators. There is no stated mandatory implementation fee. Private Events and Bilingual Support are a-la-carte products that can be added to any package, and Premium includes the Smart Inbox at no additional cost.

Which reservation and event systems does Slang AI integrate with?

Slang AI lists official integrations with OpenTable, SevenRooms, Yelp, Fishbowl, Tripleseat and Perfect Venue. Guests can book, modify and cancel reservations over the phone and those bookings flow into the connected platform; event leads are captured, enriched and sent to Tripleseat or Perfect Venue. Enterprise plans add custom integrations tailored to your existing tech stack.

Can we keep our existing restaurant phone number?

By default Slang AI provides a new local or toll-free number to use on your website and Google Business Profile. The vendor says keeping your existing number is possible, but this must be discussed with the onboarding team during setup, so confirm call-routing details before launch.

What happens when the AI cannot answer a caller or the guest asks for a person?

Slang AI forwards the call to a human staff member immediately when the guest asks, or texts the caller a link with your contact information if the question is not recognised. Operators can customise these fallback paths, and real-time topic alerts push high-priority items such as private dining, complaints or lost items to staff phones.

What security and compliance evidence does Slang AI publish?

The pricing page states the platform is SOC II compliant and Enterprise plans add enterprise security and access controls with MFA and SSO plus SLA-backed support. A Trust Center is linked from the site footer. Review that Trust Center directly during diligence, since the security pages themselves were not part of the sources reviewed here.