DOOR (formerly Latch) operates a building intelligence system spanning iOS/Android apps, embedded hardware (Bluetooth Low Energy, watchOS), and backend services on AWS. The tech stack reveals a mobile-first, device-centric architecture: native Swift and Kotlin codebases, gRPC and Protocol Buffers for service communication, Kafka for event streaming, and PostgreSQL + MongoDB for persistence. Current hiring is heavily skewed toward finance and senior roles, with active projects addressing billing automation and collections operations—a signal that revenue operations and cash-flow management are scaling pain points.
DOOR provides building intelligence to residential and purpose-built community operators. The platform integrates smart access hardware, mobile applications for residents and staff, and cloud-hosted operational software. The system manages access control, device provisioning, and building automation across multi-unit portfolios. Founded in 2014 and headquartered in St. Louis, DOOR serves property owners, operators, and residents seeking to reduce operational overhead and improve living experiences. Current hiring spans the United States, Uruguay, and Peru.
DOOR uses native mobile (Swift/SwiftUI on iOS, Kotlin/Jetpack Compose on Android), Bluetooth Low Energy for device communication, and a backend built on Spring Boot, gRPC, Kafka, PostgreSQL, MongoDB, and AWS services including Lambda, RDS, SQS, and KMS.
Current projects include an iOS-based smart access platform, device installation workflows, access management flows, and process automation focused on accounting, billing, and collections operations—reflecting priorities around reducing overhead and improving revenue operations.
DOOR'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.