Data collection and ML platform for crop and animal health industries
AGDATA operates a 30-year-old data and software platform for agricultural and animal health companies, now actively building production-grade AI/ML pipelines with TensorFlow, PyTorch, and LangML on Kubernetes and Spark. The tech stack reveals a shift toward ML infrastructure: the adoption of orchestration tools (Kubeflow, MLflow) and deep-learning frameworks alongside mature data foundations (SQL Server, Hadoop). Hiring is engineering-heavy (12 of 22 open roles) with senior-level focus, suggesting scale-out of data platform and model deployment capabilities rather than early exploration.
AGDATA provides data collection, management, analytics, and marketing program fulfillment software to companies in crop protection, specialty chemicals, and animal health. The platform is built on SQL Server and .NET backend services (C#, APIs, microservices) with Angular front-end, and integrates with Salesforce for CRM workflows. Core pain points include high-volume support demand, data quality and governance challenges, and manual testing overhead — all typical of a mature data-handling platform serving regulated industries. The company is headquartered in Charlotte, North Carolina, operates at 201–500 employees, and hires across the United States, Canada, and India.
SQL Server, C#, .NET, Angular, JavaScript on backend; TensorFlow, PyTorch, scikit-learn, Keras for ML; AWS, GCP, Azure for cloud; Docker, Kubernetes, MLflow, Kubeflow for orchestration; Apache Spark and Hadoop for data processing.
End-to-end AI/ML solutions with data pipelines, model deployment, and production-grade model conversion; APIs and microservices for AI integration; data platform modernization and embedded analytics capabilities.
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