The acquisition of Tecton by Databricks aims to accelerate the development and deployment of personalized AI agents with more reliable access to business data.
Databricks has acquired the American company Tecton. Tecton offers a real-time feature store that helps businesses power AI agents and machine learning models with current and contextual data. By integrating Tecton’s technology with its own platform, Databricks aims to accelerate the development and deployment of personalized AI agents.
Real-time Context
The core of Tecton’s offering lies in the automated and centralized delivery of current data, with a latency of less than ten milliseconds. The solution supports both classical machine learning and AI agent systems, enabling real-time decision-making based on consistent and reliable information.
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Databricks Aims to Deploy Scalable AI for Everyone
Databricks states that access to current and rich context is crucial for AI agents. Many organizations still experience difficulties in transforming data from data lakes, warehouses, APIs, and streaming platforms into usable context for real-time applications. The acquisition of Tecton aims to streamline this process.
Strengthening Existing Collaboration
Databricks had previously invested in Tecton and was already collaborating with the company for joint customers. The acquisition represents a further deepening of that collaboration. Through the combination with the Databricks platform, including Agent Bricks, customers can more easily develop, test, and deploy AI agents. This can now be done within a single integrated environment, supporting both online and batch data streams.