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Tecton has announced the general availability of its production-ready enterprise feature store that is delivered as a fully-managed cloud service.

Tecton, which emerged from stealth in April this year, also announced $35 million in Series B funding co-led by Andreessen Horowitz and Sequoia, bringing the total raised to $60 million. The funding will be used to accelerate product innovation and go-to-market activities.

Feature stores are emerging as a critical component of the infrastructure stack for ML. They allow data scientists to build more accurate ML features and deploy these features to production within hours instead of months.

Tecton said it provides the only cloud-native feature store that manages the complete lifecycle of ML features. It allows ML teams to build features that combine batch, streaming and real-time data.

Tecton orchestrates feature transformations to continuously transform new data into fresh feature values. Features can be served instantly for training and online inference, with monitoring of operational metrics. Teams can search and discover existing features to maximize re-use across models.

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