Company Profile
Restaurant Tech
AI Customer Platform
Momos.
The AI customer platform giving physical restaurant brands the data edge that online stores take for granted.
The AI customer platform giving physical restaurant brands the data edge that online stores take for granted.
An online store knows more about a first-time visitor than most restaurants know about a regular who has eaten there for years. That gap - between the data-rich world of e-commerce and the data-poor world of physical dining - is the reason Momos exists.
Momos is an AI customer platform built for multi-location restaurant and retail brands. It pulls the scattered signals of running dozens or hundreds of storefronts - reviews across a dozen sites, direct messages, survey responses, listings, local-marketing campaigns - into a single system, then uses AI to help operators respond, spot problems early, and turn feedback into repeat visits. The company describes its purpose plainly as "AI for unreasonable hospitality."
The founders came to the problem the hard way. Co-founder and CEO Sai Alluri was an early Uber employee before moving into food, where he built GrabKitchen, the cloud-kitchen network that became Southeast Asia's largest. Alongside co-founder Andrew Liu and a team drawn from Uber, Grab, Microsoft and Intuit, he had already managed thousands of restaurants through UberEats and GrabFood - and kept running into the same wall: no software could help a brand manage customers seamlessly across many locations at once. Momos was founded in 2021, during the pandemic, to close that gap.
"Physical businesses deserve AI too. Momos brings everything in and automates the entire customer lifecycle."
Figures reported by Momos and press coverage around its 2024 Series A. Location and country counts are approximate and grow over time.
Momos sells to multi-location food, beverage and retail brands - the operators whose reputations live and die across hundreds of local storefronts. Its named customers span quick-service and fast-casual dining:
These are brands where one bad location can dent the whole name, and where a single head-office team has to keep watch over guests it will never meet in person.
A one-star review is not really the problem. The problem is the guest who left unhappy, said nothing, and simply never came back. At scale, those silent departures are invisible - and expensive.
Momos attacks that blind spot on three fronts: it consolidates the flood of reviews, messages and feedback into one inbox; it detects issues in real time so a manager can recover a guest before frustration turns into a public rating; and it activates the resulting data through local marketing and recovery workflows that pull people back through the door.
Reviews, messages and feedback from every location and channel land in one place, with AI-assisted responses.
AI review monitoring, automated and assisted responses, and a reputation score that tracks sentiment across sites.
Local marketing, segmentation and recovery workflows that turn guest data into repeat visits and revenue.
Location- and brand-level dashboards surfacing feedback themes, sentiment trends and real-time issue detection.
Manage business listings across search and maps for every storefront from a single console.
The AI-enhanced platform release that consolidates guest feedback for real-time analysis and targeted campaigns.
General reputation tools were built for single businesses and bolted on multi-location features later. Momos started from the multi-location problem: a head-office view of every storefront, food-and-beverage workflows out of the box, and an obsessive focus on measurable return rather than a prettier dashboard.
The metric the company points to most is not a feature - it is habit. More than nine in ten partner brands open Momos every day. In restaurant software, that kind of daily use is rare, and it is the clearest signal that the product has become part of how these brands actually run.
"We're outcomes focused and drive 10x ROI for our partners."
Directional illustration of product emphasis, not an audited benchmark.
Momos is B2B SaaS. Brands pay a subscription - typically scaled by number of locations - for access to the platform. The pitch to a skeptical operator is not software for its own sake but return: better reviews, fewer incidents, and more guests who come back. The company has publicly framed that as roughly a 10x return for partners.
Momos sits in the multi-location customer-experience and reputation software market, alongside horizontal players like Yext, Birdeye, Reputation.com, Chatmeter and SOCi, and restaurant-focused feedback tools such as Ovation and Tattle. Its wedge is depth in food and beverage plus an AI-first, ROI-first posture - a customer data platform tuned for the counter, not the checkout page.
| Round | Amount | Date | Lead / notable investors |
|---|---|---|---|
| Series A | $10.0M | Sep 2024 | 645 Ventures (lead); Alpha Wave Global, Peak XV, Soma Capital, FJ Labs, Taurus, Correlation Ventures |
| Seed / earlier | ~$6.5M | 2021-2023 | Peak XV Partners, Alpha Wave Global, 645 Ventures |
| Total raised | ~$16.5M | to date | - |
Reported totals vary slightly across sources (~$16.5M-$17M). Valuation not disclosed.
Ex-Uber and Grab operators Sai Alluri and Andrew Liu launch Momos in Singapore to help restaurants manage customers across locations.
Momos onboards its first multi-location partners and begins expanding across the Asia-Pacific region.
The customer base grows toward hundreds of brands and thousands of locations, funded by seed and follow-on capital.
The AI-enhanced platform launches; 645 Ventures leads a $10M round as Momos reaches 20,000+ locations across ~15 countries.
Momos is an AI customer platform for multi-location restaurant and retail brands. It unifies customer service, reviews, reputation, listings, feedback and local marketing in one system.
Momos was founded in 2021 by Sai Alluri (Co-Founder & CEO) and Andrew Liu, both former operators at Uber and Grab.
Named customers include Shake Shack, Baskin-Robbins, Just Salad, Guzman y Gomez, Papa Murphy's, Caribou Coffee, Taco Time and L&L Hawaiian Barbecue - spanning more than 20,000 locations.
About $16.5-17M total, including a $10M Series A in 2024 led by 645 Ventures.
Momos is purpose-built for multi-location food and beverage brands, combining reviews, reputation, feedback and local marketing with AI - and a strong focus on measurable ROI and daily operational use.
Video links open YouTube search results for current Momos demos and founder interviews.