AI platform for planning, booking, and measuring out-of-home ad campaigns
AdQuick operates a marketplace connecting advertisers to out-of-home media owners, with AI and automation layered on top to compress campaign setup from months to minutes. The tech stack—Ruby on Rails, PostgreSQL, BigQuery, Kafka, GCP—reflects a data-intensive backend designed for real-time campaign orchestration and measurement. Active projects around map visualization at scale (1M+ markers), attribution systems, and DSP roadmap development signal the company is building toward programmatic OOH execution, while pain points in low-latency queries and disparate data search indicate they're hitting growth limits in their current architecture.
AdQuick is a software platform serving out-of-home advertisers, media agencies, and publishers across 40+ countries. The product sits between demand (marketers seeking OOH placements) and supply (billboard, transit, and venue owners), automating the traditionally manual process of media planning and buying. The company operates a small, senior-heavy team (11–50 employees, hiring mostly manager and senior roles) with roughly even distribution across engineering, product, sales, and support—typical of a B2B marketplace in growth phase prioritizing operational maturity over rapid headcount expansion.
Backend: Ruby on Rails and PostgreSQL. Data: BigQuery, Kafka, and GCP for pipeline and real-time processing. Frontend: Hotwire and Stimulus. Ops: Salesforce, Asana, Slack, Zendesk, Intercom, Freshdesk.
Core projects include map visualization for 1M+ markers, an attribution and measurement system, DSP roadmap, media owner onboarding, frontend migration to GCP, and certification program rebuild. Also automating OOH campaign planning and integrating partner APIs.
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