Semex operates a livestock genetics business centered on breeding selection, reproductive services, and animal fertility optimization. The tech stack is entirely legacy enterprise (Excel, Microsoft 365, Active Directory, Dynamics 365 Supply Chain) with no cloud-native or data-science tooling visible—yet the project list reveals active ML work (imaging-based outcome prediction, lab computer vision models, production decision forecasting), suggesting a widening gap between operational infrastructure and research ambition. Hiring velocity is accelerating across operations and logistics, not R&D, which signals scaling of fulfillment and distribution rather than product innovation.
Semex is a Canadian genetics and reproductive services provider for the livestock industry, founded in 1997 and operating as a partnership. The company serves breeding programs globally through genetic selection, fertility consulting, and animal reproduction services. The organization spans 201–500 employees across operations, logistics, research, manufacturing, and sales, with headquarters in Guelph, Ontario. Current operational focus includes supply-chain optimization, safety compliance, workplace injury reduction, quality control, and customs management—alongside emerging efforts in imaging analysis and predictive modeling for production and fertility demand.
Semex relies on Microsoft enterprise software (365, Dynamics 365 Supply Chain Management, SharePoint, Teams, Exchange), ADP for HR, Active Directory, Hyper-V virtualization, and network infrastructure from HPE Aruba. No cloud data platforms or ML tools are documented.
Active projects include imaging-based outcome prediction, lab computer vision models for genetic analysis, production decision predictive models, fertility and demand forecasting, new product launches, safety campaigns, and training programs.
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