Modular facility, visitor, contractor and emergency management platform
FacilityOS sells a modular suite covering visitor check-in, evacuation, contractor compliance, asset logistics and physical access control. Its Microsoft-centric core (C#, .NET Framework and .NET Core on SQL Server and Azure) is being modernized via a strangler fig pattern, while job posts point to AI agents integrated with Microsoft 365. Accelerating hiring tilts toward engineering and sales, with new channel and account leadership signaling a partner-led push.
Notable leadership hires: Channel Director, Account Director
FacilityOS is a privately held software company founded in 2014 and headquartered in North York, Ontario, with 201–500 employees. Its platform is organized into interoperable modules for visitor management, emergency and evacuation management, contractor compliance, asset and logistics tracking, and physical access control. Buyers include security leaders, facility managers, compliance teams, logistics managers and operations executives. The company hires across Canada, the United States and Sweden, and runs its commercial operations on Salesforce, HubSpot, Salesloft and Gainsight.
FacilityOS builds on C#, .NET, .NET Core and SQL Server across Azure and AWS, with Terraform, Azure DevOps and Datadog. Data runs through Snowflake, dbt and Apache Airflow; go-to-market uses Salesforce, HubSpot and Salesloft.
Job posts reference legacy modernization using a strangler fig pattern, AI infrastructure, AI agents integrated with Microsoft 365 with secure authentication, data warehouse and lake expansion, and a partner portal content strategy.
FacilityOS, headquartered in North York, Ontario, is hiring in Canada, the United States and Sweden, with accelerating demand concentrated in engineering and sales, plus Channel Director and Account Director leadership roles.
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FacilityOS'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.