AI-driven local marketing platform for franchise and multi-location brands
Eulerity runs a unified local marketing platform for franchise systems and distributed brands, built on a React/TypeScript/Next.js web stack alongside a native Swift/SwiftUI iOS app. Automation tooling like n8n and Zapier plus Gemini point to AI-assisted workflow builds, while job posts flag flat renewal rates and client adoption as pressures. Hiring splits evenly between engineering and marketing, with a heavy intern mix and a finance function being professionalized.
Eulerity is a New York-based, privately held company founded in 2017 with 51–200 employees. It provides a single platform combining AI-driven advertising, reputation management, listings, social publishing, analytics and call tracking for multi-location organizations. Customers include franchise systems, dealer networks, co-ops, retailers and other distributed brands that run local marketing across many locations. The platform coordinates paid and organic campaigns across channels such as Google, Meta, YouTube, LinkedIn and Apple. The company hires in the United States and Canada.
Eulerity uses React, TypeScript, Next.js and Vite on the web, Swift, SwiftUI and Firebase for iOS, n8n and Zapier for automation, Gemini for AI, and HubSpot and Salesforce for go-to-market.
Yes. Engineering and marketing lead Eulerity's hiring, with roles spanning interns to senior staff in the United States and Canada, alongside finance, HR, ops, sales and support openings.
Job posts point to AI-powered automation workflows, AI-assisted feature development, a developer-facing SDK, new iOS app features and financial forecasting models.
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Eulerity's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.