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Estuary Secures $17 Million to Streamline AI Data Pipelines for Enterprises
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Estuary raised $17 million to automate real-time AI data pipeline management and simplify multi-cloud analytics integration for enterprise customers.
AI-infrastructure startup Estuary announced $17 million in Series A funding to tackle data-engineering bottlenecks in enterprise machine-learning workflows. The round was led by Drive Capital with participation from SignalFire and M25. Estuary’s Flow platform synchronizes real-time data streams across warehouses like Snowflake and BigQuery without manual coding. The company plans to expand its engineering team and introduce AI-assisted pipeline design tools in 2026. Analysts say the platform could reduce integration time by 70% for large-scale analytics teams facing complex multi-cloud architectures.