LoopMe operates a programmatic brand advertising platform built on a polyglot stack (Java, Scala, Rust, JavaScript) deployed across AWS, GCP, and Azure with Kafka, PostgreSQL, and ClickHouse handling real-time data flows. The company is tackling hard infrastructure problems—reducing p99 latency in high-load ad serving, optimizing RTB request lifecycle, and scaling cloud costs—while expanding mobile SDK performance and third-party ad network integrations. Hiring is engineering-heavy (18 engineers across 39 open roles) and accelerating, with recent adoption of Claude code suggesting a shift toward AI-assisted development velocity.
LoopMe is a London-based programmatic advertising platform specializing in brand-performance campaigns within mobile apps. The product combines SSP/DMP capabilities with proprietary AI to match brands with in-app inventory, using consumer insights and real-time bidding to optimize ad placement and creative performance. The company operates a global footprint across five countries (US, UK, Poland, Singapore, China) with engineering, sales, and product functions distributed across them. Infrastructure is cloud-native and multi-region (AWS, GCP, Azure), handling high-volume RTB requests and managing complex integrations with external DSPs and ad networks.
LoopMe's core stack includes Java, Scala, and Rust for services, with Kafka and PostgreSQL for data pipelines. Infrastructure is multi-cloud (AWS, GCP, Azure) with Kubernetes orchestration, Elasticsearch for logging, and ClickHouse for analytics. Mobile SDKs target iOS and Android.
LoopMe is headquartered in London, United Kingdom. The company employs 201–500 people and operates engineering and sales teams across five countries including the US, Poland, Singapore, and China.
LoopMe'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.