Molecula, which develops a cloud-based feature store for AI and machine learning workloads, today announced it has raised $ 17.6 million. The company says the profits will be spent on accelerating the launch of its managed cloud service and strengthening its sales and marketing efforts.
Companies that adopt an AI-driven strategy must struggle to federate, pre-aggregate, copy, and move 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 cause multiple variations, and the same features should be available in real time when inferring for predictions. Maintaining consistency between training and inference is often a challenge and can lead to inaccurate predictions or require coding.
Feature stores automate the preparation of data for analysis and AI. In a recent report, startup Tecton said they expected 2021 to be a year of …
- According to the source Molecula raises $ 17.6 million for its AI feature store technology
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