Voltron Data Secures Acquisition of Claypot to Expand Real-Time AI Capabilities

Today, Voltron Data, a startup based in San Francisco, and provides businesses with a modular and adaptable method for constructing systems for data analysis, confirmed to VentureBeat that it is purchasing the real-time AI platform Claypot. The specific terms of the agreement were not disclosed.

Voltron’s acquisition of Claypot will bring the whole team into its fold, allowing the company to expand its offerings to include real-time analytics. This will offer businesses a means of extracting value from the most recent data and, ultimately, assist in use cases such as fraud detection and personalization.

“Our two teams have been collaborating for the past eight months to develop the initial streaming data backend… and we are excited to welcome all of the founding members of Claypot AI to Voltron Data to continue their work in streaming and merging real-time and batch data processing. We are excited about what we will be able to accomplish together,” said Josh Patterson, Voltron Data’s co-founder and CEO, in an interview with VentureBeat.

Voltron Data brings together the best of open source

Founded in 2022 and supported by $110 million in funding, Voltron Data draws inspiration from the fictional animated series Voltron, where small piloted robots combine to form a larger unified mecha.

The company combines multiple open source technologies, including Apache Arrow, Apache Parquet, and Ibis, to help enhance data access and analysis.

The concept was straightforward: provide teams with the ability to choose the best component at each level of the data stack and create adaptable systems that could be enhanced to meet evolving organizational requirements.

Last month, the company introduced its Theseus distributed query engine to speed up CPU-dependent data preprocessing tasks – ETL, feature engineering, and transformation – using a cluster of Nvidia GPUs and other hardware accelerators. This move enabled the ability to perform both data preprocessing and AI/ML on GPUs, bringing together data analysis and AI pipelines on the same infrastructure. Now, following this development, the company is acquiring Claypot AI.

Led by former Nvidia and Netflix engineers Chip Huyen and Zhenzhong Xu, Claypot, headquartered in San Francisco, allows companies to utilize the most recent data to make more precise predictions, obtain faster insights into the production environment, and accelerate model iteration to adapt to changes in data distribution.

However, the offering is not limited to working with streaming data. It combines both streaming and batch data processing to meet various enterprise needs — optimizing for latency, cost, and accuracy simultaneously.

“Claypot collaborates with both streaming and batch data, enabling you to select the top-performing data for each use case. If a one-hour delay is satisfactory, we will switch to batch. Things are changing rapidly and you need a rapid response? We will switch to streaming,” the company highlights on its website.

With Claypot’s technology and team coming on board, Voltron’s adaptable systems, which previously focused primarily on local and batch data, will be able to deliver analytics from streaming data using the same open standards. This means that businesses will have access to real-time AI, feature engineering, and MLOps capabilities powered by Theseus as well as open-source products.

“We will offer more choices to system builders as we bring on the Claypot AI team. We will collaborate to expand our vision of adaptability and hardware acceleration further into real-time data and machine learning operations (MLOps),” Patterson stated.

Objective to dismantle technology silos

Although it is uncertain when exactly the integration of Claypot will be carried out, the company is enthusiastic about the opportunity to break down technology silos across data analysis and artificial intelligence and has additional initiatives in the works.

“We have more foundational work to complete… Two of the highest-value use cases we see today are preprocessing structured and semi-structured data for ML/AI models and operating on real-time data streams with low-latency requirements. Thesues is intended for workloads that are too large and time-sensitive for Spark and Presto. We do not have any other acquisitions planned at this time, but we are always on the lookout for top talent aligned with our vision to help propel our growth,” the co-founder added.

Since its launch, Voltron Data has secured “numerous” clients across major industries, including the federal government, where it is collaborating with two agencies to accelerate query performance on petabyte-sized data. In November 2023, the company also partnered with HPE to integrate Theseus into HPE Ezmeral unified analytics software.

“Our clients are experiencing increasing advantages of our accelerated solutions, effortlessly expanding to larger and more crucial data issues,” Patterson stated.

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