Build a comparison

Choose at least two companies

Select companies in the slots below to reveal a useful side-by-side view. You can compare up to four companies and change any selection later.

Summary Gladly is a customer experience AI platform for retail and ecommerce brands that combines commerce, support, and service in one conversation.
Description Gladly provides an AI-powered customer experience and commerce platform centered on a single customer conversation rather than separate tickets. It is used for conversational commerce, customer support, and service automation across chat, voice, email, and related channels. The company sells productized software to consumer brands and enterprise ecommerce teams, with demos and sales-led packaging.
Positioning Gladly positions itself as an AI commerce and customer experience platform built around the customer relationship, emphasizing lifelong customer memory, unified commerce-and-service workflows, and enterprise-grade security. The company markets a productized software platform rather than a services-led engagement model.
HQ location San Francisco, California, United States
Founded 2014
Employee range 51-200
Funding stage Series C Plus
Company type Private
Pricing model custom quote
Investments Gladly was founded in 2014. Public funding sources indicate a Series B round in 2016, a Series C round of $36.35M in 2017 led by GGV Capital with participation from Greylock, NEA, and others, and a $40M funding round in September 2024 led by AVP.
Target customers Retail and ecommerce brands, especially customer experience, support, and ecommerce teams at consumer-facing companies.
Key competitors Gorgias, Zendesk, Salesforce, Intercom, Kustomer
Known customers Nordstrom, Bombas, Condé Nast, Deckers, Birdies, MaryRuth's, Rothy's, KÜHL, Ulta Beauty, Breeze Airways
Segments AI Quality & Observability, Chatbots, Voice AI Agents, Analytics & BI
Industries Customer Support / CX, General Purpose
Company URL www.gladly.ai
LinkedIn URL www.linkedin.com/company/gladly-inc
Status Active
Data source Research Team Data