Money moves

Innovative Houston chemicals manufacturing platform provider raises $40M series A

Shreyans Chopra, founder of Mstack, is celebrating the close of his company's $40 million series A. Photo courtesy of Mstack

Houston-based Mstack, whose platform helps manufacturers source specialty chemicals, has raised $40 million in a series A funding round.

Lightspeed Venture Partners and Alpha Wave Incubation led the round, which includes a debt facility from HSBC Innovation Banking and money from several angel investors.

In a news release, Mstack says the infusion of cash will enable it to “double down on its mission to disrupt a historically flawed supply chain for specialty chemicals.”

This “doubling down” will include expansion of Mstack’s footprint in the U.S., Middle East, Latin America, and Asia.

“Geopolitical dynamics pose risks for supply chain disruptions in the global specialty chemicals market,” Bejul Somaia, a partner at Lightspeed, says in a news release.

“With demand for these chemicals growing rapidly, there is a need to increase R&D investments and unlock new pockets of supply,” he adds. “As the first institutional investor in Mstack, we believe that the company has tremendous potential to lead this transformation.”

Mstack, founded in 2022, currently serves four business sectors: oil and gas, coatings, water treatment, and home and personal care. The funding will enable it to move into industry segments such as agrochemicals and pharmaceuticals.

The Mstack platform gives buyers a one-stop shop for sourcing, testing, shipping, delivering, and tracking specialty chemicals.

“This new funding affirms investor confidence in our vision and technology to transform global markets. It enables us to expand geographically and intensify our R&D efforts,” Mstack founder Shreyans Chopra says.

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This article originally ran on InnovationMap.

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A View From HETI

SLB and NVIDIA plan to build an "AI factory for energy" to help the industry transform massive amounts of data into actionable information. Photo courtesy SLB

Houston-based energy technology company SLB has expanded its 18-year tech collaboration with chipmaker NVIDIA to include the development of an “AI factory for energy.”

Through their partnership, SLB and NVIDIA will create AI infrastructure and models built around SLB’s existing digital platforms to help energy companies scale AI for data and operations.

In addition to the development of the “AI factory,” SLB will:

  • Provide modular design services to enhance NVIDIA’s blueprint for building, launching and operating gigawatt-scale AI data centers. In this case, modular design involves manufacturing data center components off-site.
  • Use NVIDIA’s AI infrastructure to improve the processing of large datasets and AI models across SLB’s digital platforms.

Energy companies generate vast amounts of operational data, which can slow down and silo decision-making, SLB says. By combining NVIDIA’s Omniverse libraries and its Nemotron open models with SLB’s digital and AI platforms, the companies aim to more rapidly transform data into actionable insights.

Omniverse libraries are sets of prebuilt 3D elements, such as objects, surfaces and interactive features, that make it easier to construct detailed virtual spaces without having to design everything manually. They’re commonly used for building immersive environments, digital replicas of real-world systems and simulation scenarios.

Nemotron open models are AI models that are freely available to download and modify. Instead of relying on a hosted service, you can run them on your own infrastructure and tailor them to fit specific needs.

Vladimir Troy, vice president of AI infrastructure at NVIDIA, says the energy sector is at the forefront of AI driving a “new industrial revolution.”

“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” Demos Pafitis, SLB’s chief technology officer, added. “By collaborating with NVIDIA to advance modular data center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.”

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