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
HubSpot
Databox
Hi Product Hunt.
I’m Pete from Databox. Today we’re shipping Artifacts inside Genie, our AI Analyst. An artifact is a report Genie generates from your connected data. It combines the charts you’d normally build by hand with the analysis of what actually drove the numbers, in one shareable document.
Reporting used to work like this... You’d build a bunch of dashboards. You’d compare performance to the previous period and to goal, try to understand how the work you did turned into the result you got. Then, you'd write out what happened and what you planned to do next.
Whether you hit the goal, missed it, or crushed it, the manual process was the same.
With Artifacts, none of that is necessary. It’s a one-time setup. You connect your data and define your metrics once. After that, you tell Genie what you did, and it compares performance to the previous period, checks whether the work correlated with what you achieved, digs into why through statistical analysis, and recommends what to do next. Then it builds the report.
A “what happened last month” question becomes a finished report in minutes.
A few very specific things it can do:
Turn the same report into a slide deck. One follow-up request, nothing rebuilt.
Restyle a report to your own brand or a client’s, mid-conversation.
If you're a professional services firm, build a cross-client report spanning every account, not one client at a time.
Ship as a public link, with no login for whoever you send it to, or a PDF. Turn the link off whenever you want.
You might be asking, why not just use Claude or ChatGPT? Because Databox already has your data connected, understands how to calculate your metrics, and knows how to run statistical analysis on them.
Three things the general chat tools don’t have or don't do consistently. Ask one of them for a report and you feed it the data yourself, every time, and hope it calculates and analyzes correctly. And when it gets something wrong, you’re stuck.
Databox artifacts are editable, so you add your own context and Genie refines it. Fine tuning, not redoing.
Less time spent reporting means more time doing the work and more time thinking about how to do it better.
If you’re not on Databox yet, I challenge you to automate your next report in three steps.
1. Start a trial,
2. connect your data,
3. and ask Genie to “create a report analyzing what happened last month and why.”
No coding, no spreadsheet-wrangling required.
PicWish
@pc4media how do cross client reports handle missing metrics? does genie partially render the artifact or flag the missing source before building the pdf?
@pc4media Half my week used to be someone rebuilding the same report because a stakeholder wanted one metric framed differently. My worry with an AI analyst is trust: when it flags a dip, can I click through to the exact query and rows behind it? That "where did this number come from" moment is what breaks these for execs.
Databox
The hardest question we had to answer while building Artifacts wasn't technical, it was about control: when AI writes your report, what still belongs to you? Our answer: Genie builds the document from your live data (with a real design system behind it and a deterministic engine doing the math, so numbers are computed, never guessed), and you keep the last word, literally. Edit any text directly, and Genie knows about your edits, so its next update builds on your version instead of overwriting it. Would love your take on whether we drew that line in the right place. I'll be around all day for questions.
Databox
@grega_cej That control question came up in almost every internal review too. The edit mode is the answer we kept landing on: type mode for the words, prompt mode for anything structural like charts or layout. Small thing, but it means you're never stuck rewriting a whole report just to fix one sentence.
Databox
The part worth explaining is how the artifact actually gets built. It's not assembled from a template or a databoard, Genie authors the layout, structure, and visuals fresh for each request, following a shared design spec so it comes out on brand by default. The data inside it is pulled live from your connected metrics at generation time, so what you get is a real document backed by your real sources, not a paraphrase of a chart you pasted in.
Databox
@jakobzmrzlikar Exactly this. And the part I'd add: the model doesn't do the math either. Every number in the artifact is computed by a deterministic query engine before the model writes a word around it. Funny how the least glamorous piece of the stack, essentially a calculator, made the biggest difference in how accurate the numbers are. Authored fresh, never improvised.
For teams migrating from existing BI tools, how seamless is the process of importing historical datasets and custom metrics, and does Databox offer any AI assisted mapping to speed up that transition?
Databox
@aymi_malik Good question, though worth separating two things here. Artifacts itself pulls from data you've already connected to Databox (130+ native integrations), so no import step for that part. For historical datasets and custom metrics, we also have an Ingestion API, so you can push data from any other tool, or even directly from an AI client like Claude, straight into Databox. That covers a lot of migration cases without needing a native integration to exist first. I don't want to overstate the mapping side though, there's no AI-assisted mapping for that step yet.
@zigapotocnik Thanks so much for the detailed breakdown, that's really helpful context! Great to know that Artifacts pulls directly from the 130+ native integrations without needing an import step, and the Ingestion API sounds like a smart, flexible fallback for historical data or tools without native support yet.
Appreciate the transparency on the AI-assisted mapping front too, it's a helpful roadmap item to keep in mind. Excited to see how this evolves. Congrats on the launch!
Databox
@aymi_malik Anytime. Thank you Muhammad!
This is interesting. What's the most surprising query users didn't think to ask?
Databox
@dhiraj_patel5 Good question. Honestly the reports themselves aren't the surprising part, most people expect that. What catches people off guard is turning that same report into a slide deck with one follow-up prompt, or asking for something like an interactive calculator or projection tool instead of a static document. People come in thinking "AI report generator" and don't realize the format list goes well beyond reports.
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.