Performance affiliate marketing platform for regulated sectors
Quantum operates a data-driven affiliate marketing platform connecting brands with high-intent consumers, primarily in iGaming and sports betting. The tech stack—Kafka, Spark Streaming, Apache Flink, BigQuery, dbt—reveals a real-time data infrastructure built for low-latency processing and fast decisioning. Current hiring is heavily skewed toward marketing (8 of 14 roles), with active work on segmentation models, paid social scaling, and CRM optimization, indicating a sales-and-marketing-led growth phase rather than platform expansion.
Notable leadership hires: CRM Lead, Paid Social Lead, Product Head
Quantum is a London-based affiliate marketing platform founded in 2014, serving global brands in regulated and high-growth verticals—particularly iGaming, sports betting, and comparison services. The company specializes in data-driven campaign optimization, real-time analytics, and multichannel customer targeting. It operates its own technology stack spanning data ingestion (Kafka, Flink), transformation (dbt, BigQuery), visualization (Tableau), and advertising channels (Snapchat, Taboola, Outbrain). Current operational focus includes building predictive models, redesigning conversion journeys, and auditing data infrastructure to reduce reporting latency and improve campaign ROI.
Quantum uses Kafka and Apache Flink for real-time streaming, BigQuery for analytics, dbt for transformation, Tableau for visualization, Salesforce and Adobe for CRM, and deploys on AWS, GCP, and Azure. Frontend: React, Next.js, Vue.
Active projects include building segmentation and targeting models, developing predictive/forecasting models, real-time data infrastructure improvements, multichannel CRM campaigns, and paid social strategy optimization for brand partners.
Quantum'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.