Privacy-first digital behavior measurement across mobile and web
RealityMine operates a passive behavioral analytics platform capturing cross-device activity at scale. The tech stack reveals a data-engineering-heavy operation: AWS Lambda, SageMaker, Spark, Trino, and Airflow power real-time ingest and transformation, while mobile instrumentation (Appium, XCUITest, Espresso) feeds device-level signals. Active hiring skews 4:3 engineering-to-data at mid-level, and the current project load (device farm scaling, data pipeline performance, AI-assisted testing) suggests they're hitting infrastructure limits as measurement volume grows.
RealityMine measures digital behavior passively across mobile apps and web, licensing insights to media and market research clients. Founded in 2012, the company operates from Manchester with offices in London and Stockholm. The platform ingests activity from real user devices, de-identifies the signal, and surfaces behavioral patterns through a data marketplace. Core measurement spans in-app usage, content consumption, and cross-device journeys. Engineering and data teams are the primary growth vectors.
AWS (Lambda, SageMaker, EMR, Athena), GCP, Apache Spark, Trino, Airflow, PostgreSQL, MySQL, plus mobile testing frameworks (Appium, XCUITest, Espresso, Selenium, Playwright).
Device farm infrastructure scaling, data pipeline performance improvements, cloud security posture hardening, AI-assisted test creation, and behavioral data product enhancements.
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RealityMine'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.