RealityMine captures real-world digital behavior across mobile and web through privacy-first measurement, selling into market research and audience intelligence teams. The tech stack reveals a data-at-scale operation: SQL + Python + Apache Spark + Airflow powering ETL pipelines, PyTorch for ML inference, and native SDKs (Android/iOS) for device-level data collection. Active projects around ML inference scaling and data pipeline architecture, paired with pain points in production ML optimization and big-data handling, suggest the company is mid-shift from data collection toward algorithmic intelligence.
RealityMine operates a passive digital behavior analytics platform, capturing what users do across apps and the web without active participation. The product suite includes a reallife app, mobile SDKs (Android and iOS), and web measurement tools, backed by proprietary panel infrastructure. Headquartered in Manchester with offices in London and Stockholm, the company serves media, advertising, and market research clients with audience measurement, content performance, and in-app behavior insights. The engineering-focused hiring velocity (6 roles in the last 30 days, accelerating) and active work on ML inference, SDKs, and data pipelines indicate scaling of both collection infrastructure and analytical capability.
RealityMine uses SQL, Python, Apache Spark, Airflow, and AWS (EMR, Athena, Lambda) for ETL and analytics pipelines. PyTorch handles ML inference. Native SDKs for Android and iOS collect device-level behavioral data.
RealityMine is based in Manchester, England, with additional offices in London and Stockholm. The company was founded in 2012 and remains privately held.
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