Molecula, which is developing a cloud-based feature store for AI and machine learning workloads, today announced it has raised $17.6 million. The company says the proceeds will be put toward accelerating the launch of its managed cloud service and bolstering its sales and marketing efforts.
Enterprises embracing an AI-first strategy must contend with federating, pre-aggregating, copying, and moving the data used to train their machine learning algorithms. In machine learning, features are data signals that AI models rely on to make accurate predictions. During training, features are stored in batches to train multiple variations, and the same features need to be available in real time during inference for predictions. Maintaining consistency between training and inference