Digital cafeteria platform for corporate dining and campus food services
SmartQ operates a B2B food-tech platform embedded in corporate offices, tech parks, and universities across India. The company runs a multi-cloud stack (AWS, GCP, Azure) with heavy reliance on .NET and Python backends, paired with Xamarin mobile clients — a mature Windows-first architecture suited to enterprise deployments. Operations-heavy hiring (24 roles) dominates the headcount mix, reflecting the dual nature of the business: technology platform underpins on-site food service execution where operational discipline and vendor coordination directly affect unit economics and NPS.
Notable leadership hires: Business Head
SmartQ delivers an end-to-end digital cafeteria suite for workplace and campus dining, enabling seamless ordering, cashless transactions, and operational management for food courts. The platform aggregates multiple food vendors — from local providers to premium partners — and surfaces them through a mobile app and kiosk interface. Backed by Compass Group, SmartQ extends beyond corporate campuses into event catering, operating at mega events like music and motorsport festivals. The company is headquartered in Bangalore and operates exclusively in India with 501–1,000 employees, structured around core product delivery, vendor management, and compliance operations.
SmartQ uses .NET Framework, C#, Python, Django, and Flask on the backend; Xamarin and NET MAUI for mobile; and multi-cloud deployment on AWS, GCP, and Azure. Testing and CI/CD are handled via Selenium, Jest, Jenkins, Docker, and Robot Framework.
SmartQ is headquartered in Bangalore, Karnataka, India. All current hiring is concentrated in India with no international expansion underway.
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SmartQ'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.