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A new era for Hex, and data

Announcing Hex 4.0, and a $100m fundraise โ€” building toward the agent-native future for analytics.

A new era for Hex, and data

A few months ago, after we had just closed our best-ever quarter, we decided to do something radical: start from scratch on a clean-sheet version of Hex, the product we had been building for 6 years and used by over 2,500 customers globally.

This was a radical thing to do โ€” but after 4 years on the frontier of bringing AI to data, we knew it was the right one. Today weโ€™re introducing that new version โ€” and announcing a fundraising to bring it to the world.

Let me tell you why, and where we see all of this going.

โ€œWhat would we build if we were starting from scratch?โ€โ€ฆ and then doing it

This was the question we asked ourselves earlier this year. See, we were founded in 2019, making us a pre-AI company (ew!).

Now, I also think we had done an amazing job bringing AI into our product over those years! We had a text-to-SQL prototype using GPT-3 before ChatGPT. We launched our Magic features in February 2023. We launched the first really good data agent last year, and earlier this year we changed the game again with generative apps. I'm proud of all of this.

But fundamentally, we were trying to integrate AI into a product that already existed. Our data model, architecture, and core assumptions around what users were doing in our product were all baked in 2020 to 2021 โ€” we were far from โ€œagent nativeโ€, no matter how much we liked saying it.ยน

And this was leading to some major issues: our agent harness was becoming bloated with hundreds of tools, which were required to teach agents about how to use Hex-something emphatically out of distribution. Our compatibility with external agents, because those products were having to use Hex through a keyhole via MCP versus being able to work with something more native. And our compute engine wasnโ€™t built to support the high-speed, high-concurrency, iterative workflows agents seem to like.

In parallel with these issues, we were seeing data work is happening in a lot of other places: folks are using Cursor, Codex, Cognition, Claude, and custom agents โ€” which in turns was causing a lot of issues! People are "vibe coding" dashboards and reports way more than they're using their legacy BI tools and emailing around HTML files without provenance, context, or permissions. Itโ€™s a mess โ€” but the previous version of Hex couldnโ€™t solve this in the way we wanted.

Altogether, this added to a growing sense that โ€“ despite growing quickly and having a lot of happy customers โ€“ we were headed for a point of diminishing returns.

As we got together and talked about this, we had an idea of what we actually would do if we were starting from scratch today: a platform rooted in code โ€” with all of its infinite flexibility and agent nativity โ€” and embrace that data work can happen a lot of places, but that it needs context, controls, guidance, and guardrails to make it trusted.

And so thatโ€™s what we built.

Introducing Hex 4.0

Hex 4.0 is truly a from-scratch rewrite for the era of agents (and, of course, was greatly accelerated by using agents to write all of the code, guided by the decades of combined expertise from our teams in building scaled data platforms).

The core assumption of 4.0 is that everything is code โ€” and that teams need context, controls, and compounding to make it trusted and scalable. It leans into the idea that data work is happening in a lot of places, and that "plain code" (not a proprietary YAML format) is the way to make that make sense.

We have a big, long blog post detailing all of this here, I recommend you read it! Maybe a couple of times, because it's interesting, and we suspect youโ€™re going to be hearing from a lot of other companies who are going to realize that they need to think from first principles too.

And this is just the foundation for a lot of other things we have in mind; in fact, one of the reasons we went so hard on this is because there are things we want to build we couldn't imagine doing on the old architecture โ€” but are trivial on the new one.

We can't wait to show you!

Some money stuff: we raised another $100m

As this all came into focus, we realized more money would help us go faster โ€“ to scale our team, expand go-to-market, and continue to make great swag. The only problem was that in the first part of the year, investors thought all software was going to die and there would only be two companies left.ยฒ

Shailendra and the team at Peak XV, however, didn't think that: in fact, they were pretty sure that model-independent platforms were going to have a bright future ahead. And they were not scared about us taking a bold first-principles approach to go build it.

So Iโ€™m excited to announce that weโ€™ve closed a $100 million financing round at a $1.2B valuation led by PeakXV and our 137 Ventures, with participation from Amplify, Avra, a16z, Redpoint, Sequoia, and Zero Prime.

This gives us a bunch more runway to keep building this thing, and take more bold bets into the future.

The end of BI, the beginning of something new

I'm throwing some serious shade at the "SaaS apocalypse"-pilled investors above, but I'll give them some credit: I think it is true that a lot of software categories will effectively die over the next couple of years. But I also believe many will combine and be reborn into new shapes.

This is our basic outlook on BI: the old paradigm is over, and no amount of bolting a chatbot sidebar onto the legacy platforms is going to change that. But there are also fantastic new opportunities opening up!

We believe the next chapter is rooted in code, with the context and controls needed to establish trust, governance, and guardrails.

The basic promise of BI is finally here: everyone can ask questions! Everyone can build! But now it's chaotic, and all the trust is gone. We see this as the core trade-off to break, and we're kind of obsessed with it.


ยน I'm not going to call out anyone by name, but I do think it's funny how many companies in our space that have been around for 8 years or more now call themselves "AI native", despite that literally being the antithesis of that phrase. I mean, I get why they're doing it, but unless you have literally rebuilt your product in the last 24 months, I'm not sure you can credibly claim it...

ยฒ I'm joking, but not really? You should have sat in some of the pitch meetings we hadโ€ฆ

This is something we think a lot about at Hex, where we're creating a platform that makes it easy to build and share interactive data products which can help teams be more impactful.

If this is is interesting, click below to get started, or to check out opportunities to join our team.