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TextQL Raises $17M Led by Blackstone to Build Agentic Analytics for Enterprises With Messy Data

Funding Details

Amount

$17M

Enterprise data has a way of piling up like unopened mail. Every system adds another envelope, every dashboard promises clarity, and somehow the signal keeps getting buried under its own ambition. Teams adapt, analysts translate, executives wait. The machine works, but it never really hums.

TextQL stepped into that noise and moved with intent. Founded in 2022 by Ethan Ding, CEO, and Mark Hay, CTO, the company is building what they call agentic analytics. Translation for the uninitiated: AI that does not just answer questions, it hunts them down across messy, fragmented data and brings back something you can actually use. No ceremony, no pilgrimage through 5 BI tools and a prayer.

That idea just got a $17M vote of confidence. Blackstone, through Blackstone Innovations Investments, anchored the round, with HOF Capital, Neo, DCM Ventures, Unshackled Ventures, Dropbox, and a lineup of operators and angels who know their way around a data stack joining in. When that mix of capital shows up, it is not curiosity. It is conviction.

And the timing is not accidental. Since closing, TextQL is reporting 9x year over year revenue growth, stacking 6-figure contracts week after week like it is a habit, not a headline. Deployments are already live inside Blackstone, Scale AI, Dropbox, and a growing roster of Global 2000 enterprises. That is not a pilot parade. That is production, where excuses go to die.

What makes this interesting is not just the growth, it is the angle. TextQL is not asking companies to rip out what they built. It plugs into the existing maze, learns the language of the business, and turns institutional knowledge into something reusable at scale. The best analyst in the room no longer has to be a single point of failure. The system remembers.

There is a quiet lesson here for anyone building in enterprise. The winners are not always the loudest or the most theatrical. They are the ones who respect the mess, understand it, and then make it disappear without asking the customer to start over. That is how you go from tool to infrastructure without making a scene. Inside a Fortune 500, an executive is about to ask a question they used to avoid. And this time, the answer might actually show up on time.

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