EHSQ compliance and safety management software for enterprises
Intelex builds web-based software for environment, health, safety and quality programs, now pushing embedded AI features for EHSQ professionals on top of a multi-cloud AWS and Azure stack running Kubernetes (EKS, AKS). A warehouse footprint spanning Snowflake, Redshift and BigQuery, plus a legacy re-platforming effort, points to consolidation work underway. Hiring is accelerating and weighted toward engineering and product, with early Cursor adoption.
Notable leadership hires: Solution Lead
Intelex Technologies, founded in 1992 and headquartered in Toronto, develops and supports software for EHSQ programs. Its modules cover safety incident management, OSHA reporting, quality, supplier, risk, chemical, water and waste management. The platform integrates with enterprise ERP systems such as SAP and PeopleSoft and serves corporate clients globally. The privately held company employs 201–500 people and hires across Canada, the United States, India and Brazil.
Intelex runs on AWS and Azure with Kubernetes (EKS, AKS), Terraform and Octopus Deploy, codes in C#, TypeScript, Java and Python with React and Angular, and uses Snowflake, Redshift, BigQuery, Power BI and Tableau.
Yes. Hiring is accelerating, led by engineering and product roles at mostly senior level, with additional openings in finance, data, sales and support across India, the US, Brazil and Canada.
Current initiatives include embedded AI features for EHSQ professionals, legacy system re-platforming, an AI and data platform, observability standards, and KPI dashboards and data tools to cut time to insight.
Other companies in the same industry, closest in size
Intelex Technologies ULC'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.