AI-driven indoor mapping and spatial intelligence platform
MapsPeople operates a multi-stack SDK-first platform (Java, Kotlin, Flutter, React Native) paired with a full ML pipeline (PyTorch on GCP/AWS/Azure) for indoor mapping and spatial automation. Active hiring is engineering-dominated (4 of 5 roles), split between SDK binding layers and ML inference optimization—a hiring shape that flags both cross-platform distribution and model-serving maturity as core technical bets.
MapsPeople builds an indoor mapping and spatial intelligence platform (MapsIndoors) that integrates into enterprise IT ecosystems for airports, healthcare facilities, campuses, and large venues. The product combines real-time indoor navigation, asset positioning, and spatial automation, exposed across Android, iOS, web, and Flutter/React Native SDKs. The company operates from Toronto, with regional presence in the US, Denmark, and Singapore, and holds Premier Mapping Partner status with Google. Current technical priorities center on ML inference scaling and legacy code migration.
Java, Kotlin, Kotlin Multiplatform, Flutter, and React Native for client SDKs; Mapbox and Google Maps for base mapping; PyTorch for ML; GCP, AWS, and Azure for compute; React, Angular, Node.js, NestJS, and Fastapi for backend services.
Android SDK and cross-platform SDK bindings (Flutter, React Native), ML pipeline development for indoor mapping, inference optimization at scale, model generalization across architectural inputs, and automation pipeline development for delivery efficiency.
MapsPeople'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.