Databox is an AI-powered business intelligence and analytics platform for teams that need clear, trusted answers fast. It offers the best of BI, without the complicated setup, steep price, or long learning curve. It provides a blend of powerful, but easy-to-use, features, from preparing datasets and creating the custom metrics your company needs to track, to building beautiful dashboards, customizing your reporting, and receiving AI-powered insights.
This is the 8th launch from Databox. View more
Artifacts by Databox
Launching today
Turn any conversation with your AI Analyst into a polished report, slide deck, or interactive document built from your live data. Generate it from a single prompt, then share it via public link or download as a PDF.
Free Options
Launch Team / Built With
Databox
Hey Product Hunt!
We kept seeing the same problem: AI analysts got good at answering questions, but the answer dies in the chat. You still have to copy numbers into a deck, rebuild charts, format a report, and by the time you share it, the data is stale.
Artifacts closes that gap. You ask Genie a question, and instead of just an answer, you get back a finished, ready-to-share output. A report, a slide deck, an interactive document. Built from your live data, generated from a single prompt, shareable via public link or PDF.
The chat was never the deliverable. The report is. Now you get both in one step.
This is our fourth launch this year (Genie in March, MCP in June, Skills Marketplace in July), and they all stack: connect your data, chat with it anywhere, apply expert skills, and now walk away with something you can actually put in front of a client or your exec team.
Artifacts is also another important building block in our agentic analytics direction. We're building toward a world where the analyst work happens end to end: the agent pulls the data, runs the analysis, applies the right expertise, and delivers the finished output, with you directing the work instead of doing it. Every launch this year has been a piece of that. Artifacts is the delivery layer.
Try it and tell us where it breaks. That feedback is worth even more to us than the upvote.
How customizable are the generated reports for agencies with strict client branding requirements?
Databox
@ankur_jeswani Pretty flexible, actually. You can ask Genie to restyle colors, fonts, layout, and charts to match a specific client's brand, and it rebuilds the artifact to match. Since it's all prompt-based, you can do this per client without touching a design tool, so the same report structure can look completely different for each account.
I find this release shows how adaptable and mature Databox is becoming as a company. It already has a pretty sophisticated Databoards feature that has been polished to be pixel-perfect over the years. When users shared data outside of Databox, they shared those Databoards. And we made sure they always made an impression. That they always looked Databox-ish. Years were spent improving them. Loud conference room meetings were spent over positioning pixels on them. It was something we were proud of, and, of course, still are.
Today, we handed some if that control over to our customers through AI (Genie). Building what they share with the outside world. The Artifacts still look Databox-ish, colleagues made sure of that. And it does come with lots of upsides - building Artifact with a prompt is way faster than placing and configuring blocks on a Databoard, plus AI has a lot of knowledge built-in. But still, we had to let go of some of the control we had over what can be shared. What carries our logo.
At the end of the day, that's what customers wanted. And that's what "bites" in today's fast-paced world. Adapting to that need, while knowing it might cannibalise our own prized feature.
That has to mean maturity.
GG Team!
Databox
@aljaazm This sums up the tradeoff better than I could have. We spent years making sure anything shared out of Databox looked polished and unmistakably ours, and handing that pixel-level control to a prompt was the harder internal conversation than any technical build. Landed on "still look Databox-ish, just faster to get there" as the line we were comfortable with. Appreciate you putting it this way, GG team indeed.
Databox
One implementation detail I'm particularly happy with is how Artifacts evolve through a conversation.
When Genie generates a report, you don't have to start over if you want something different.
Need another section? Just ask.
Want a different chart? Ask.
Need to adjust the branding for a client? Ask.
Those kinds of changes happen directly on the existing artifact, so you're refining what you've already built instead of starting from scratch.
For bigger transformations, like turning a report into a slide deck, Genie creates a new artifact while keeping the original report intact. Both versions are available to share, and because they're built from the same connected data and conversation, you don't lose the context that got you there.
We didn't want AI to feel like a series of disconnected prompts. We wanted it to feel like working on a living document that evolves with you.
Don't get me wrong i like the idea, but what's the biggest difference between Databox and Cloude with proper skills?
Databox
@kamil_infeld Fair question. With Claude and skills, you're still the one pulling the data together first, exporting from wherever it lives and feeding it in. The core difference here is Genie already has your data connected, 130+ integrations, so there's no export or paste step at all. You ask, and it's already working from your actual numbers.
@zigapotocnik Make sense, and actually add value
This is the part of the job I've spent years fixing manually.
Reporting systems that actually get used are rare, most of them just create more work downstream. Being able to ask for a report and get back something client-ready, built on the live data, is the direction this space needed to go. Excited to see how agencies and marketing teams use this to stop rebuilding the same deck every month.
Databox
@lexi_morgan That's exactly the pattern we kept seeing too, reporting systems that generate more work than they save. The bar we held ourselves to was: if it doesn't end in something you'd actually hand to a client without touching it first, it doesn't count. Would love to hear how it holds up once you try it on a real client report.
Marketing analytics person here — the biggest benefit of this is not being the human BI layer anymore. You can ask for a report and get something narrative-ready back. And it's based on verified data (something that really matters but many marketers forget about). Super useful!
Databox
@carmenstrelec The "human BI layer" line is a good way to put it, that's the exact job we were trying to take off people's plates. And you're right that the data part matters more than it sounds, since a narrative-ready report is only useful if the numbers under it are the ones your team already trusts.