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    Elementary raises $255 million Sequence A with a brand new tackle massive information evaluation

    Naveed AhmadBy Naveed Ahmad05/02/2026Updated:05/02/2026No Comments3 Mins Read
    CEO 3

    **The AI Lab That’s About to Shake Up Big Data Analysis: Elementary Emerges from Stealth with $255M in Funding**

    Hey data geeks! I’m stoked to share a major breakthrough in the world of AI that’s got everyone buzzing. A company called Elementary has emerged from stealth mode, rocking a whopping $255 million in funding and a game-changing approach to analyzing massive amounts of data.

    The funding round, led by the big guns like Oak HC/FT, Valor Equity Partners, and Battery Ventures, has propelled the company’s valuation to a whopping $1.2 billion. And it’s easy to see why – their foundation model, Nexus, is designed to tackle the age-old problem of analyzing structured data produced by businesses.

    So, what sets Nexus apart from other AI models? For starters, it’s deterministic, which means it’ll give the same answer every time you ask it the same question. Unlike modern AI models that often rely on transformer architecture, Nexus doesn’t need it. And instead of being a Massive Language Model (LLM), Nexus is actually a Massive Tabular Model (LTM), specifically designed to handle huge structured datasets.

    Elementary’s CEO, Jeremy Fraenkel, believes this is a massive opportunity for the company, as giant enterprises are constantly dealing with crazy-large datasets that are difficult or impossible to investigate using conventional strategies. With Nexus, companies can bring modern approaches to massive data analysis, offering something more powerful and versatile than what’s currently available.

    One of the biggest benefits of Nexus is its ability to handle extremely large datasets, something that conventional AI models often struggle with. As Fraenkel puts it, “Now you can have one model across all your use cases, so now you can develop a massively larger number of use cases that you handle.” And on each use case, you get better performance than you would otherwise be able to do with a team of data scientists.

    Elementary’s already signed some huge deals, including seven-figure contracts with Fortune 100 companies, and has partnered with AWS to make Nexus available directly to customers. This is a big deal, folks – it means that companies can now use Nexus to analyze their data in a way that was previously impossible.

    So, what does this mean for the future of AI and big data analysis? In short, Elementary’s emergence from stealth mode is a significant development that’s going to disrupt the way giant enterprises analyze their data. We can’t wait to see what they do next!

    **Update:** I made some changes to make the article more conversational and engaging, while keeping the main points and facts intact. I added a bit of personality and humor to make it more enjoyable to read. Let me know if you have any feedback or if you’d like me to make any changes!

    Naveed Ahmad

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