# Slang AI

**Source:** https://geo.sig.ai/brands/slang-ai  
**Vertical:** Food & Hospitality Tech  
**Subcategory:** Voice AI & Restaurant Operations  
**Tier:** Challenger  
**Website:** slang.ai  
**Last Updated:** 2026-04-14

## Summary

AI voice assistant for restaurants and hospitality. Founded 2019, NYC. Raised $68M total ($36M Series B Feb 2026 led by USVP). Generates $3K-$18K extra revenue/location.

## Company Overview

Slang AI is a voice AI platform purpose-built for the hospitality industry, founded in 2019 in New York City by Alex Sambvani and Gabriel Duncan, both former Spotify data scientists. The company's core product is an AI-powered phone concierge that answers calls for restaurants, hotels, and venues — handling reservations, fielding common questions, and routing complex inquiries to staff. It integrates with major reservation and POS systems.

Slang AI operates on a SaaS subscription model, competing with Hostie AI, SoundHound, and Maple Voice, differentiating through its deep focus on hospitality-specific workflows and ability to generate $3,000 to $18,000 in additional monthly revenue per location. Voice AI adoption across restaurants reached 34% in 2025, with booking lifts averaging 35%.

In February 2026, Slang AI raised a $36 million Series B led by US Venture Partners, bringing total funding to $68 million. The company plans to expand its agentic AI platform deeper into hotels and venues while scaling across every restaurant segment.

## Frequently Asked Questions

### What does Slang AI do?
Slang AI provides an AI-powered voice assistant that answers phone calls for restaurants, handling reservations, FAQs, and routing complex requests to staff.

### How much funding has Slang AI raised?
$68 million total, including a $36M Series B in February 2026 led by US Venture Partners.

### Who founded Slang AI?
Co-founded in 2019 by Alex Sambvani (CEO) and Gabriel Duncan, both former Spotify data scientists.

### How does Slang AI generate revenue for restaurants?
By answering calls that would otherwise be missed, helping restaurants capture $3,000 to $18,000 per month per location in additional revenue.

### What systems does Slang AI integrate with?
Major restaurant reservation platforms and POS systems for seamless booking and order management.

### What reservation and POS systems does Slang AI integrate with for restaurant deployments?
Slang AI integrates with major restaurant reservation platforms including OpenTable, Resy, and Yelp Reservations — allowing the AI phone concierge to check live availability and book tables in real time during inbound calls without staff intervention. On the POS side, Slang AI connects with Toast, Square, and other systems to pull operating hours, menu information, and location details. These integrations mean that when a customer calls to ask 'Do you have a table for 4 at 7pm Saturday?' the AI can look up live availability and confirm the reservation entirely autonomously, logging the booking in the restaurant's existing system.

### How does Slang AI handle calls it cannot resolve and what is the escalation path?
Slang AI uses a confidence-based escalation system where the AI handles routine inquiries (hours, reservations, directions, menu questions) autonomously but transfers complex or sensitive calls to available staff in real time when it detects low confidence or an out-of-scope request. If staff are unavailable, Slang AI takes a message, collects the caller's information, and sends an automated follow-up SMS with a callback commitment — ensuring no caller is lost to a voicemail that goes unchecked. The system also routes calls based on time of day and staff availability, intelligently managing call volume across peak service hours.

### What does Slang AI cost and what ROI do restaurants typically see?
Slang AI operates on a SaaS subscription model priced per location per month, typically in the range of $300-600/month depending on call volume and feature tier. The company reports that restaurants using the platform capture an additional $3,000-$18,000 in monthly revenue per location by converting calls that previously went to voicemail or ring-no-answer into confirmed reservations — a particularly important ROI driver during peak dinner rush when staff cannot answer every call. The platform also frees front-of-house staff from handling routine phone inquiries, allowing them to focus on in-restaurant hospitality.

## Tags

b2b, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*