Top Machine Learning Model Development Firms

Machine learning model development firms build predictive and classification models trained on a client's own data: demand forecasts, churn and credit-risk scores, fraud detection, defect detection from images and document classification. The work spans data preparation, feature engineering, model selection and training, evaluation against a baseline and deployment into production. Companies hire one when they have the use case and the data but no data science team, or when a notebook prototype must run reliably in production.

Ask each company below what metric past models were judged on and what they beat, how data that cannot leave your environment is handled, and whether they deploy and monitor or stop at a trained file.