Connected wearable safety and gas detection with live monitoring
Blackline Safety builds wearable gas detectors and lone-worker devices tied to cloud software and live emergency monitoring. Its AWS data backbone (Kafka on MSK, Kinesis, EMR, Redshift, Matillion) handles device telemetry at streaming scale, with Bedrock and SageMaker pointing to AI work on that data. Hiring is accelerating and skews toward sales and manufacturing, matching pain points around pipeline targets and supply-side order friction.
Blackline Safety is a public company headquartered in Calgary, Alberta, founded in 2004, with 201–500 employees. It makes wearable personal and area gas monitors and safety devices that connect over cellular and satellite to cloud software, analytics, and live monitoring teams that respond to falls, gas exposure, no-motion events, and missed check-ins. Customers are organizations with lone or at-risk workers, and the company reports coverage in more than 100 countries. It designs and manufactures its own hardware and currently hires in Canada and the United States.
Blackline runs on AWS, including MSK (Kafka), Kinesis, Lambda, EMR, Step Functions and Redshift, plus Matillion, Datadog, PagerDuty and Terraform. Python, Java, Scala and C++ are core languages, alongside HubSpot and NetSuite.
Yes, and hiring is accelerating. Openings lean toward sales, manufacturing and support, with smaller needs in marketing, operations, data and engineering, mostly at mid-level, across Canada and the United States.
Yes. Its stack includes Amazon Bedrock, SageMaker and Amazon Q, running alongside an AWS streaming and analytics pipeline built on Kinesis, Kafka, EMR and Redshift.
Other companies in the same industry, closest in size
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.