AI-powered sorting and grading machines for agricultural production
Flikweert Vision builds hardware-embedded AI systems for food production automation, pairing deep learning frameworks (PyTorch, TensorFlow, MLflow) with industrial control stacks (Codesys, TwinCAT, PLC). The hiring mix is heavily weighted toward engineering leads (5 of 10 roles), with parallel investment in sales and marketing infrastructure—a pattern consistent with shifting from product development toward scaling commercial operations and international expansion.
Notable leadership hires: Tech Lead
Flikweert Vision develops smart sorting and grading machines for agricultural and food processing facilities. The systems use computer vision and deep learning to automate product inspection and handling, reducing manual labor and improving output consistency. Founded in 2019 and based in Zeeland, the company operates across R&D, machine commissioning, dealer distribution, and back-office operations. Current focus spans machine reliability, pricing controls, service processes, and dealer-facing digital tools.
Core stack includes Codesys and TwinCAT for PLC control, Python with PyTorch and TensorFlow for model training, MLflow for experiment tracking, and CUDA/TensorRT for GPU inference optimization. This combination targets industrial edge deployment of AI models.
Active initiatives include machine commissioning, R&D prototype development, a new dealer portal, forecasting and pricing dashboards, service process improvements, and marketing strategy rollout to support international growth acceleration.
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