IoT-connected worker safety platform with wearable devices and cloud monitoring
Blackline Safety operates a hardware + software platform that pairs wearable gas detectors and fall sensors with cloud-connected monitoring and emergency response. Their tech stack centers on Azure, AWS, SQL/MySQL, and BI tools (Power BI, Tableau, QlikView), with no active adopts or migrations visible—suggesting a stable, mature infrastructure. Hiring is broad but sparse (7 roles across 6 departments), signaling maintenance-mode operations focused on release cycles and ERP optimization rather than product acceleration.
Notable leadership hires: Automation Lead
Blackline Safety is a Calgary-based public company that manufactures and operates connected safety hardware and software for lone workers and hazardous environments. The platform combines wearable devices (personal and area gas monitors), cloud connectivity (cellular and satellite), and a live monitoring center staffed by response teams. The company operates across more than 100 countries and has logged over 160 billion data points and initiated over 5 million emergency responses. Revenue streams span device sales, cloud subscriptions, and monitoring services to industrial, oil & gas, utilities, and construction customers.
Azure, AWS, SQL Server, MySQL, Power BI, Tableau, QlikView for analytics, NetSuite for backend systems, C/C++ and Python for platform development, Active Directory and Microsoft Defender for endpoint security.
Current projects include release updates, automated jobs, custom account structures, and field trials for new product rollouts. Internal challenges center on ERP troubleshooting, performance optimization, and integration streamlining.
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Blackline Safety'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.