Chalk

Chalk is a data platform designed to simplify the development and deployment of real-time machine learning models. It provides the infrastructure for data teams to build, iterate, and operate AI/ML products by focusing on high-volume, low-latency feature computation and delivery. The platform allows users to leverage their existing databases as online and offline feature stores and deploy to their own cloud infrastructure. Chalk addresses the challenges of real-time data for ML, enabling fresh data for predictions and preventing train-serve skew. It offers tools for observability, data quality monitoring, and seamless integration with existing ML workflows, from Jupyter notebooks to production deployment. The platform is built for performance, handling hundreds of millions of features per second with ultra-low latency, making it suitable for mission-critical operations like fraud detection, credit scoring, and real-time recommendation systems.