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Voltron Data builds modular, composable data systems that augment existing data stacks with open industry standards, enabling analytics across multiple engines and programming languages without replacing current systems. Its products focus on accelerated computing for data analytics, offering customizable tech stacks that align hardware standards to boost performance and scale data at lower costs. By integrating open standards (like Arrow) and provide resources such as guides, code, repositories, and blogs, Voltron Data helps developers, analysts, and data scientists work on the same data across different engines and languages. The company differentiates itself by emphasizing interoperability, standardization, and adaptable architecture rather than locking users into a single vendor or stack. Its goal is to make high-performance data analytics accessible and scalable through flexible, standards-based data systems that evolve with changing technology.
Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Seed
Total Funding
$110M
Headquarters
Mountain View, California
Founded
2021
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Total Funding
$110M
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"Carahsoft and its reseller partners are looking forward to working with Voltron to provide Government customers with the tools they need to enhance operational efficiency, data security and analytics at scale."
Voltron Data, based in Mountain View, CA, received an undisclosed investment from Accenture Ventures. The funds will support the company's efforts to enhance large-scale analytics for generative AI and machine learning. Voltron Data's core solution, Theseus, is a SQL query engine that uses GPUs to process petabyte-scale data faster and more cost-effectively than traditional systems. The company collaborates with major global banks, tech firms, and governments.
Accenture has invested in Voltron Data, a company specializing in GPU-powered data processing for AI applications. The investment, through Accenture Ventures, focuses on Voltron Data's Theseus platform, which accelerates petabyte-scale data processing using GPUs, reducing query times from hours to minutes and lowering costs. This move aims to enhance Accenture's AI consulting capabilities, benefiting industries like banking and communications by improving data processing efficiency and sustainability.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. As artificial intelligence drives unprecedented demand for data processing, a Mountain View startup is offering a solution to one of AI’s least discussed but most critical challenges: moving and transforming massive datasets quickly enough to keep up.Voltron Data, which announced a strategic partnership with Accenture today, has developed a GPU-accelerated analytics engine that could help enterprises overcome the data preparation bottleneck hampering AI initiatives. The company’s core product, Theseus, enables organizations to process petabyte-scale data using graphics processing units (GPUs) instead of traditional computer processors (CPUs).“Everyone’s focused on the flashy new stuff that you can touch and feel, but it’s that data set foundation underneath that is going to be key,” said Michael Abbott, who leads Accenture’s banking and capital markets practice, in an exclusive interview with VentureBeat. “To make AI work, you’ve got to move data around at a speed and pace you just never had to before.”Building for the AI tsunami: Why traditional data processing won’t cut itThe partnership comes as companies rushing to adopt generative AI are discovering their existing data infrastructure isn’t equipped to handle the volume and velocity of data required. This challenge is expected to intensify as AI agents become more prevalent in enterprise operations.“Agents will probably write more SQL queries than humans did in a very short time horizon,” said Rodrigo Aramburu, Voltron Data’s CTO and co-founder
Today, Voltrondata is introducing Theseus Test Drive, a SQL editor designed to showcase the cost-saving advantages of running SQL on accelerated hardware.
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Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Seed
Total Funding
$110M
Headquarters
Mountain View, California
Founded
2021
Find jobs on Simplify and start your career today