VAST Data is an AI Data Platforms company founded in 2016 and based in New York, United States. It has raised $1.4B in total funding, most recently a Series F in 2026 at a $30B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Apr 21, 2026 | Series F | $1B | $30B | Drive Capital, Access Industries |
| Dec 6, 2023 | Series E | $118M | $9.1B |
| Fidelity Management & Research Company |
| May 4, 2021 | Series D | $83M | $3.7B | Tiger Global Management |
| Apr 16, 2020 | Series C | $100M | $1.2B | Next47 |
| Feb 26, 2019 | Series B | $40M | — | Greenfield Partners |
| Jan 1, 2018 | Series A1 | $25M | — | Dell Technologies Capital |
| Jan 1, 2016 | Series A | $15M | — | 83North, Norwest Venture Partners |

VAST Data joins a cyber-recovery integration letting CrowdStrike security agents trigger data restores from its storage platform.

Forrester's object storage Wave report omits Cloudian, MinIO, and others, drawing scrutiny over analyst methodology.
The umbrella platform announced in May 2025 that unifies VAST's DataStore, DataBase, DataEngine, DataSpace, InsightEngine, and AgentEngine into a single operating layer for AI, spanning exabyte-scale data services and agentic workflows across clusters of GPUs in data centers and clouds.
Exabyte-scale unstructured data storage built on the DASE (Disaggregated Shared-Everything) all-flash architecture, which eliminates storage tiering and serves file and object data fast enough to keep large GPU clusters saturated during AI training and inference.
A transactional and analytical database built into the platform that combines the capabilities of a database, data warehouse, and data lake, letting AI pipelines query structured and semi-structured data directly where it is stored.
A real-time data-processing and retrieval service built with NVIDIA that uses NVIDIA inference microservices (NIM) to embed, index, and vectorize data as it lands, powering retrieval-augmented generation over enterprise data.
An auto-scaling AI agent deployment runtime added with the AI OS launch in 2025, providing a low-code environment and an MCP-compatible tool server so agents can invoke data, metadata, functions, and other agents as tools.
37 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.
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