VAST Data

VAST Data is a privately held technology company founded in January 2016. The company was established by Renen Hallak, Shachar Fienblit, Jeff Denworth, and Alon Horev. VAST Data focuses on artificial intelligence (AI) and deep learning computing infrastructure, providing an AI operating system designed to help organisations build and scale intelligent applications. The company unifies compute, data management, and high-performance storage infrastructure, offering solutions like VAST DataStore, VAST DataBase, VAST DataEngine, and VAST DataSpace.
 

In February 2019, VAST emerged from stealth mode and raised $80 million in funding, announcing its new data storage software built on a distributed systems architecture called DASE (Disaggregated and Shared Everything). Over the years, the company has grown rapidly, surpassing $1 billion in cumulative software bookings and reaching $200 million in annual recurring revenue by 2023. VAST's success has earned it recognition, including being named to the Forbes Cloud 100 in 2024 and the Gartner Magic Quadrant for File and Object Storage Platforms.

VAST Data raised a total of $381 million in funding, with its Series E round in 2023 raising $118 million at a $9.1 billion valuation. The company operates globally, with offices in cities like New York, Tokyo, Singapore, and Dubai. VAST partners with various technology vendors, including NVIDIA, Cisco, and Arista.
 

The company's primary product, the VAST AI Operating System, unifies storage, database, and compute into a single platform to support data-intensive AI workloads. This system enables organisations to manage, store, and process vast amounts of data at scale, offering businesses a more efficient and cost-effective solution compared to traditional infrastructure. VAST Data continues to grow, earning awards and recognition for its innovation in the AI infrastructure sector.

VAST Data was founded in January 2016 by Renen Hallak, Shachar Fienblit, Jeff Denworth, and Alon Horev. The founders brought years of experience in the technology sector, with Hallak having previously led R&D at XtremIO, a company acquired by Dell EMC in 2012. 

Fienblit and Denworth also had backgrounds in leading technology companies, including Kaminario and CTERA Networks. Their goal was to create a new type of data infrastructure company, focused on meeting the growing demands of artificial intelligence (AI) and deep learning applications.
 

In its early days, VAST Data worked on developing an AI-focused operating system that could unify storage, compute, and data management into a single platform. The company aimed to address the limitations of traditional data architectures, which struggled to handle the vast amounts of data required by AI workloads. 

In February 2019, VAST emerged from stealth mode and announced the launch of its data storage software built on a new distributed systems architecture called DASE (Disaggregated and Shared Everything). This architecture was designed to eliminate the bottlenecks found in conventional storage systems and provide scalable performance for AI applications.
 

As the company grew, it attracted significant investment, raising $80 million in its initial funding round. VAST's innovative approach quickly gained recognition, and the company continued to expand. In 2020, VAST raised $100 million in its Series C round, which helped the company refine and expand its product offerings. By 2021, the company had grown significantly and raised $83 million in a Series D funding round led by Tiger Global Management.
 

In December 2023, VAST announced it had surpassed $1 billion in cumulative software bookings and achieved $200 million in annual recurring revenue (ARR). This milestone marked a major achievement in the company’s growth. In 2024, VAST was recognised in the Forbes Cloud 100 and named a leader in the Gartner Magic Quadrant for File and Object Storage Platforms. It also received a significant boost in its valuation after its Series E funding round in 2023, which raised $118 million, bringing the company’s total valuation to $9.1 billion.
 

In 2025, VAST Data was named to the CNBC Disruptor 50 and Forbes AI 50, highlighting its status as one of the most promising companies in the AI infrastructure sector. 

The company also reached $2 billion in cumulative software bookings in May 2025, reinforcing its position as a leader in AI-driven data infrastructure solutions. VAST Data continues to operate globally, serving industries such as automotive, healthcare, financial services, and media. Its products are now used by some of the largest companies in the world, including several Fortune 100 organisations.
 

Today, VAST Data is widely recognised for its contributions to the AI infrastructure space, having successfully designed a platform that integrates storage, data management, and compute into a unified system. The company continues to innovate and expand its offerings, helping businesses scale their AI and deep learning applications more efficiently.

VAST Data’s mission is to redefine the way businesses manage and process data by providing an AI-powered operating system. Their aim is to simplify and scale the infrastructure needed for AI, machine learning, and deep learning applications. VAST’s platform unifies storage, data management, and compute to enable organisations to quickly and efficiently handle large data workloads, driving innovation and success in AI-driven industries. By offering a flexible, high-performance solution, VAST strives to empower businesses to meet the growing demands of data and AI applications while ensuring cost efficiency and operational simplicity.

VAST Data envisions becoming the leading provider of AI infrastructure solutions, helping businesses across various sectors unlock the full potential of their data. The company aims to create a future where AI operates seamlessly at scale, transforming industries with enhanced decision-making, automation, and real-time insights. VAST’s vision is to provide businesses with a unified platform that can manage, process, and analyse vast amounts of data efficiently, enabling them to innovate and remain competitive in an increasingly data-driven world. Their goal is to empower organisations to drive digital transformation through next-generation infrastructure.

VAST Data has received significant recognition for its innovation in AI infrastructure. In 2024, the company was named to the Forbes Cloud 100, highlighting its position as one of the top private cloud companies globally. VAST also received the prestigious honour of being named a leader in the Gartner Magic Quadrant for File and Object Storage Platforms. In 2025, it was included in both the CNBC Disruptor 50 and the Forbes AI 50, recognising its impact in the AI space. These awards reflect VAST’s rapid growth and its role in shaping the future of AI infrastructure.

VAST Data provides a range of products and services designed to address the growing needs of businesses in handling large-scale data for artificial intelligence (AI) and machine learning applications. Their innovative platform integrates storage, data management, and compute into a single unified solution. This approach helps organisations manage the increasing complexity of data-intensive workloads, making it easier to scale and deploy AI-driven applications. Below is an overview of the key products and services VAST Data offers:

VAST AI Operating System- VAST’s AI Operating System is designed specifically to handle the demands of modern AI applications. The system unifies storage, compute, and data management into one seamless platform, making it easier for organisations to manage their AI workloads. 

Built on the company’s unique DASE (Disaggregated and Shared Everything) architecture, the AI Operating System eliminates the traditional bottlenecks associated with legacy data systems. This system allows businesses to scale their AI operations efficiently, providing real-time data access and processing capabilities for intelligent applications.

VAST DataStore (Universal Storage)- VAST DataStore, formerly known as Universal Storage, is a highly scalable storage solution for unstructured data. It allows businesses to store vast amounts of data with high performance, making it suitable for AI, machine learning, and big data applications. The DataStore provides organisations with the ability to handle exabyte-scale data at low cost while maintaining fast access speeds. 

It supports a variety of data types, including images, videos, documents, and sensor data, all of which are essential for AI-driven systems. The system is designed to be both reliable and cost-effective, offering businesses the ability to store massive amounts of unstructured data without compromising performance.
 

VAST DataBase- VAST DataBase is a database management system (DBMS) that combines the functionality of a traditional database, data warehouse, and data lake. This product enables businesses to store and manage both structured and unstructured data in one platform. 

With its real-time indexing and query capabilities, the DataBase allows organisations to efficiently manage vast amounts of data, enabling quick access to relevant information. This product supports AI workloads by providing rapid data processing and retrieval, making it ideal for enterprises that require high-performance databases for their AI and machine learning applications.

VAST DataEngine- The VAST DataEngine is a global function execution engine that allows businesses to run distributed applications and workloads across multiple locations. This tool helps organisations manage and execute AI models and processes on a global scale, supporting high-performance, large-scale computing. 

The DataEngine enables businesses to deploy their applications across various environments, including on-premises data centres, public clouds, and edge environments. This flexibility allows companies to scale their operations based on demand, ensuring that they can handle growing AI workloads effectively.

VAST DataSpace- VAST DataSpace is a global namespace that allows businesses to store, retrieve, and process data from multiple locations. It ensures that all data across different environments—whether on-premises, in the cloud, or at the edge—are seamlessly integrated into one system. 

This product makes it easier for organisations to manage distributed data and ensure that their AI applications have consistent access to the data they need, no matter where it is stored. DataSpace supports multi-cloud environments, enabling businesses to operate across various platforms while maintaining a unified infrastructure.

VAST InsightEngine- VAST InsightEngine, developed in collaboration with NVIDIA, is a real-time retrieval-augmented generation (RAG) solution. It helps businesses perform deep analytics and generate insights from massive data sets. By leveraging AI-powered tools, the InsightEngine enables organisations to process and analyse data in real time, making it easier to extract valuable insights and make data-driven decisions. This product is particularly useful for AI-driven enterprises that need to analyse complex data sets quickly and efficiently.

VAST SyncEngine- The VAST SyncEngine is a tool that manages the ingestion, cataloguing, and access of unstructured data from distributed sources for AI applications. It helps businesses organise and synchronise their data across various environments, ensuring that data is readily available for AI models and other applications. This product supports the efficient movement of data between different locations and systems, enabling organisations to maintain up-to-date data across their entire infrastructure.

Subscription-Based Service Model- VAST Data offers all of its products as a subscription-based service, allowing businesses to scale their AI infrastructure as needed. The subscription model provides organisations with flexibility, enabling them to pay for only the resources they use while ensuring that they have access to the latest updates and features. This model helps businesses keep their costs under control while gaining access to advanced AI infrastructure that can support their growth.