An ML development company focuses on building data-driven applications that learn from patterns and improve over time without explicit programming. Services include data preprocessing, feature engineering, model training, and deployment. These companies work across industries like healthcare, finance, retail, and logistics to provide predictive analytics, automation, and intelligent decision-making tools. Advanced ML techniques such as deep learning, reinforcement learning, and ensemble methods are used depending on the use case. The development process is tailored to business goals, ensuring models are interpretable, accurate, and scalable. Continuous retraining, monitoring, and performance evaluation ensure the models remain effective in changing environments and deliver sustained business value.