An ML development company builds machine learning models tailored to specific business problems using structured and unstructured data. These companies manage the full lifecycle—from data collection and preprocessing to model training, validation, deployment, and monitoring. Their expertise spans supervised, unsupervised, and reinforcement learning, applying these techniques to solve problems like demand forecasting, churn prediction, image recognition, and anomaly detection. Tools and frameworks such as TensorFlow, PyTorch, and Scikit-learn are commonly used. These companies also focus on scalability, accuracy, and explainability to ensure models deliver actionable insights. Solutions are customized for industries such as finance, healthcare, retail, and logistics. Continuous model optimization and integration into enterprise systems help businesses leverage data-driven intelligence effectively.