VAST InsightEngine eliminates the bottlenecks of traditional AI architectures, enabling real-time, event-driven AI decision-making. With AgentEngine, VAST DataEngine enables autonomous agents that can instantly process and act on live data, making it possible to automate fraud detection in financial services, deliver real-time cybersecurity response, power predictive maintenance in industrial automation, and enable automated content tagging in media. With real-time vector retrieval and event-driven inference, AI applications gain continuous access to the freshest data, optimizing accuracy and responsiveness without delays.

VAST InsightEngine removes manual intervention from AI pipelines by leveraging event-driven triggers and functions, along with real-time inference automation. As soon as data is ingested, processing begins immediately—eliminating delays caused by batch-based ETL pipelines. Integrated vector store and search in the VAST DataBase accelerates retrieval across petabyte- and exabyte-scale datasets, ensuring instant data access. By consolidating raw and vector storage, search, and inference into one AI-native platform - and enabling unified AI governance across the entire AI pipeline - enterprises shift focus from managing infrastructure to extracting AI-powered insights at scale.

VAST InsightEngine vectorizes enterprise data in real-time, eliminating traditional batch-based delays. AI-native vector embeddings make unstructured data instantly searchable as native vectors in the VAST DataBase, while retrieval-augmented generation (RAG) ensures AI models always reference the most current and relevant data. VAST is designed for Enterprise AI, scaling to trillions of vector embeddings and unlocking real-time semantic search at scale.