Vast Data
Simplifying data storage and redefining how organizations interact with data by breaking decades of tradeoffs.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | N/A | - | |
N/A | Series A | ||
$40.0m | Series A | ||
$40.0m | Series B | ||
* | $100m Valuation: $1.2b | Series C | |
* | $83.0m Valuation: $3.7b | Series D | |
* | $118m Valuation: $9.1b | Series E | |
| Total Funding | $381m | ||
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VAST Data is a cutting-edge technology startup that operates in the data management and artificial intelligence (AI) sectors. The company's primary offering is the VAST Data Platform, a revolutionary data management system that promises scalable performance, simple data management, and improved productivity. This platform is the first new scale-out architecture in two decades, designed to cater to the next 20 years of AI and big data computing.
VAST Data serves a wide range of clients, including those in the AI industry who require secure and scalable solutions for their data. The company's platform is designed to be multi-tenant and zero-trust, making it ideal for compute-intensive applications such as machine learning, visual effects and rendering, pixel streaming, and batch processing. The platform's performance is reportedly up to 35 times faster and 80% cheaper than traditional cloud providers.
The company's business model revolves around providing a platform that not only stores data but also helps unify structured and unstructured data in a global namespace. This allows clients to use massive amounts of data, such as petabytes of rendered assets, as training data for future AI applications. The platform's AI capabilities are a key selling point, enabling clients to make sense of vast amounts of data and map neural circuits.
In terms of revenue, VAST Data likely makes money by charging clients for using its platform, possibly on a subscription or usage-based model. The company has also formed strategic partnerships with other tech companies, such as NVIDIA, to enhance its platform's capabilities and reach.
Keywords: Data Management, Scalable Performance, Artificial Intelligence, Big Data Computing, Secure Solutions, Machine Learning, Visual Effects, Pixel Streaming, Batch Processing, Neural Circuits.