Rugged wearable AR devices and voice software for frontline workers
RealWear builds voice-activated wearable devices and software for field workers—construction, manufacturing, oil & gas, utilities. The tech stack spans React + TypeScript frontend, Azure/AWS/GCP cloud, and Android/Kotlin mobile, with recent focus on AI-agent-powered Android apps and AR device firmware. Hiring is accelerating across engineering (5 open roles), with a senior-heavy mix, while the pain-point list flags order-management friction and prolonged sales cycles—typical signals of a hardware-software hybrid scaling beyond early adopters into mid-market channel distribution.
RealWear manufactures rugged head-mounted wearables with voice control, AR displays, and hands-free software for workers in harsh environments—oil platforms, manufacturing floors, service call centers, utility maintenance. The product line targets frontline workers in industries like energy, automotive, pharma, and logistics, enabling real-time access to documentation and remote expertise without interrupting manual tasks. Based in Vancouver, Washington, and founded in 2016, RealWear operates at small-to-mid scale (51–200 employees) with a two-tier go-to-market: direct sales to large enterprises and emerging channel partnerships. Current active projects center on AR device firmware evolution, AI-powered mobile apps, and partner ecosystem deepening.
Frontend: React, TypeScript, Angular. Backend: Node.js, FastAPI, C#. Cloud: Azure, AWS, GCP. Mobile: Android, Kotlin, Jetpack Compose, SwiftUI. Comms: WebRTC, WebSockets. DevOps/tools: LinkedIn Ads, Google Ads, HubSpot, NetSuite, Adobe Creative Suite.
AR device application development, AI-agent-powered Android applications, and channel partner deepening. Current pain points include order-management friction and extended sales cycles.
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RealWear'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.