Hang
1 known investors
An AI-powered marketing platform that enables marketers to create personalized customer messaging and loyalty experiences through smart audience segmentation, self-cleaning data, and automated offer generation. It serves consumer-focused businesses in retail, restaurants, beauty, apparel, and e-commerce sectors.
Investors · 1
Company profile
researched Aug 2026Hang (hang.com) markets itself as an AI-native guest experience platform for restaurants. Its product set is organized into four areas: Loyalty & Ordering, Offers, CRM, and a customer data platform (CDP). The loyalty and ordering module covers points, tiers, rewards, streaks, quests, menu discovery, branded minigames, mystery boxes, scratch-offs and Wallet passes, combined with order-ahead capabilities including modifier-rich menus, scan and pay, and earning and redeeming rewards in the cart.
The Offers module uses an assistant called Hang AI to read individual guest history alongside the operator's economics and then generate or select an incentive, message, image, channel and send window, with configurable limits on discount value, audiences and channels and a review layer that exposes rationale, projected cost, fallbacks and offer mix. The CRM module builds multi-step journeys — audiences, messages, waits, branches, A/B tests and rewards — from a natural-language prompt, with journeys held in a "dry run" state until a user activates them; touchpoints include email, SMS, push, rewards, points, in-app content and games. The CDP resolves orders, visits, loyalty activity, preferences and consent into a single guest profile, supports dynamic audience rules across recency, value, menu behavior and location, normalizes item naming, and generates dashboards that monitor metrics. The company's site states the platform works with the operator's existing POS and ordering stack, and directs users to a web application at app.hang.com. Public sources available for this profile are limited to the company's own website; no funding, headcount, founding or location data was found in the supplied material.
Business model
Hang sells software to restaurant operators, providing loyalty, ordering, offers, CRM and customer-data modules that integrate with an operator's POS and ordering stack. The site's calls to action are "Book a demo" and "Get a free prototype," indicating a sales-assisted motion, and customers use a hosted application at app.hang.com. No pricing or contract terms are disclosed in the available sources.
▸Full profile — market position, technology, go-to-market, geography
Market position
The available sources do not describe Hang's market share, competitive standing or scale; the company presents itself as an end-to-end guest experience platform for restaurant operators covering loyalty, ordering, marketing automation and customer data in one system.
Hang's stated differentiation is an AI-first workflow in which campaigns, journeys, offers, audiences and dashboards are produced from natural-language prompts rather than manually configured, combined with operator-defined economic rails (price ceilings, discount caps, channel and audience limits), a dry-run/review state before anything is sent, and the consolidation of loyalty, ordering, offers, CRM and the guest data layer into a single connected platform.
Technology
The platform is built around an AI assistant, Hang AI, that operates across the product suite: it drafts push, email and SMS content and imagery, generates or matches guest-specific offers, sizes discounts against guest average order value, builds multi-step customer journeys with triggers, waits, branches and A/B splits from natural-language prompts, constructs audiences and dashboards from plain-language questions, and paces rewards per guest. Guardrails are a stated design element — operators set value caps, discount limits, audiences and channels, campaigns run in a dry-run state until activated, and AI decisions expose rationale, projected cost and fallbacks for review. A unified guest profile layer resolves orders, visits, loyalty, preferences and consent, and the system integrates with third-party POS and ordering systems.
Go-to-market
Direct, demo-led acquisition through the company website, which offers a demo booking and a free prototype, alongside a self-referenced product application at app.hang.com. The site includes a "Powering guest experiences for" customer section, though no named customers are legible in the retrieved content.
The website positions the platform for restaurants and food-service brands; illustrative examples on the site reference concepts such as a coffee brand, an ice cream shop, a chicken restaurant and a taqueria. Internal records additionally describe consumer-focused businesses in retail, restaurants, beauty, apparel and e-commerce.
Geography
Not disclosed in the available sources.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Competitors · 5
by search overlap
Companies competing with Hang for the same Google search keywords, organic and paid, via search-intersection analysis.
▸Research sources · 8
primary sources listed
- Hanghang.com · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Hang do?
- Hang is an AI-native guest experience platform for restaurants spanning loyalty, ordering, offers, CRM and a customer data platform.
- Who are Hang's investors?
- Hang's investors include Paradigm.