Automation, imaging and AI systems for poultry hatcheries and livestock
TARGAN builds automated equipment for animal agriculture, and its stack shows it: Beckhoff TwinCAT, Codesys, EtherCAT and SCADA sit alongside TensorFlow, PyTorch and Azure, pairing industrial controls with machine learning. Pain points cluster around uptime, unplanned downtime and reactive service events, while hiring in Brazil and Germany points to a growing installed base that needs field support.
TARGAN is a Raleigh, North Carolina company founded in 2015 that develops technology for animal health and productivity across poultry, livestock and aquaculture. Its systems combine high-speed imaging, AI, machine learning and robotics, with a strong focus on hatchery automation. The company operates as an indirect subsidiary of Merck & Co., Inc. and employs 51–200 people. It runs manufacturing, engineering and field service functions, with hiring spanning the United States, Brazil and Germany.
TARGAN uses Python, C#, .NET, TensorFlow, PyTorch, Azure, Kubernetes, PostgreSQL, MongoDB and SQL Server, plus industrial tools like Beckhoff TwinCAT, Codesys, EtherCAT, SCADA and SolidWorks.
TARGAN runs Infor Syteline with Infor OS, and job posts mention automating accounts payable processes within Syteline.
TARGAN is hiring in the United States, Brazil and Germany, with engineering the leading function and support, data and operations roles also open.
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TARGAN Inc.'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.