VAST Data is an enterprise data infrastructure company founded in 2016 by Renen Hallak and Shachar Fienblit, headquartered in New York City. The company builds a unified data platform positioned as an "AI Operating System" that combines storage, database, and compute services for data-intensive and agentic AI workloads.
The VAST Data Platform is built on a disaggregated, shared-everything architecture (DASE) that decouples storage capacity from compute, allowing organizations to scale performance and capacity independently while serving file, object, database, and AI pipelines from a single system.
VAST Data has raised significant venture funding, reaching a multibillion-dollar valuation with investors including NEA, Fidelity, and others, supported by rapid revenue growth driven by demand for AI training and inference infrastructure. The company has also formed partnerships with major GPU cloud and AI infrastructure providers.
VAST differentiates itself by collapsing traditional storage tiers and database layers into one platform optimized for the scale and throughput requirements of large AI model training and retrieval workloads. Its emphasis on flash-based, all-NVMe design targets the performance bottlenecks of legacy enterprise storage.
The company serves enterprises across AI infrastructure, finance, healthcare, research, and government sectors that require high-performance access to large datasets. It competes with established storage vendors and emerging AI data platforms in a fast-evolving market shaped by generative AI adoption.