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 5th launch from Databox. View more
Genie by Databox
Launching today
Genie is an AI analyst built into Databox. Ask questions about your business performance and get instant insights from your data, so your team can quickly understand what’s driving results and take action.
Free Options
Launch Team / Built With
We've been using Databox as the data governance layer for our analytics stack at USA Home Listings, and it's become one of the most reliable pieces of our infrastructure. We pipe Stripe, operational, and custom dataset metrics through Databox and use it as the single source of truth that feeds our internal dashboards and investor reporting.
What sold us: the MCP integration is genuinely useful for teams building AI-assisted workflows, the custom dataset and ingestion API is flexible enough to handle non-standard data sources, and the platform just works without a lot of hand-holding. We went from scattered spreadsheets to a centralized reporting layer in weeks, not months.
If you're a growing company trying to get your metrics house in order without hiring a full data team, Databox punches well above its weight.
Databox
Hi Product Hunt! 👋
I'm Davorin from the Databox team, and today we’re excited to share something we’ve been working on for a while: Genie, your AI analyst.
Most teams today have dashboards and reports that track everything from revenue to marketing performance. But when someone asks a simple question about what’s actually happening, like why revenue dropped or what’s driving the growth, getting clear answers is still harder than it should be.
You have to dig through multiple dashboards, compare metrics, identify trends, or even loop your data team. And by the time you finally have a clear explanation, you’ve already burned hours you didn’t really have.
We kept seeing the same pattern: even though teams had plenty of data, they were still struggling to get answers fast enough to make decisions.
So we built Genie.
Genie is an AI analyst built directly into Databox. Ask questions about your business performance in plain language and get answers instantly, with trends, visualizations, and context drawn directly from your metrics.
Here are a few things you can do with Genie today:
🔎 Ask questions about your data: Understand why metrics changed, uncover insights faster, or dig deeper into what’s actually driving performance.
📊 Create metrics and dashboards: Describe what you want to build, and Genie can generate the metric or dashboard for you.
💬 Share analyses instantly: Send Genie conversations to anyone so they can see the analysis and context behind the answer.
🪄 Chat with Genie from your AI tools using MCP: Explore performance and uncover insights directly in tools like Claude or ChatGPT.
Genie is designed to help anyone on your team explore and understand performance data, so decisions don’t have to wait.
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We’d love your honest feedback: what’s the #1 question about your business data you wish you could answer instantly?
Drop it in the comments - we’re building Genie with teams like yours in mind, and your feedback will directly shape what we work on next.
Thanks for checking out Genie. Every comment, idea, and upvote means a lot to our small team. 🙏
Many congratulations @davorin @zigapotocnik and team! :)
I am excited to hunt Genie by Databox today!
From the first conversation with the Genie team, it was clear they weren’t just building another “AI analytics” tool, but rethinking how teams actually interact with their data.
I’ve seen a lot of AI analysts that rely on static uploads or disconnected data. Genie felt different right away.
What stood out to me:
It already understands your metrics and context
It works on live data across 100+ integrations, not stale CSVs
It doesn’t just answer questions, it actually builds dashboards and metrics for you
And most importantly, it helps you understand why numbers move, not just what changed
That combination is rare.
If you’ve ever spent hours jumping between dashboards just to answer one simple question, you’ll get why this matters. This is a thoughtful, execution-heavy product and I look forward to future updates.
Databox
Thank you, @rohanrecommends , for the kind and encouraging words. I’m very proud of the entire team, because they truly deserve the credit for this launch. They’ve put in a huge amount of effort over the past few months, and I’m excited to see Genie help both existing and new customers get faster, clearer insights from their data.
@davorin This is solid. That problem is way too familiar.
Dashboards are nice until someone asks a simple question and suddenly you’re digging through five tabs trying to piece things together. It gets old fast.
I like the angle here. Feels less like “another analytics tool” and more like something that actually helps you understand what’s going on without the back and forth.
Quick one though. If I ask why something dropped, does it just show related metrics or does it actually try to explain what likely caused it?
Either way, this is clean. I can see teams using this a lot.
Well done @davorin and team.
Databox
@adeola_daniel1 You described the problem exactly right. Dashboards help you monitor performance, but the moment someone asks why something changed, the work usually starts. That is the gap we wanted Genie to close.
On your question: Genie does more than just surface related metrics. It looks at the broader context around the change and tries to explain likely drivers behind it based on the patterns and relationships in your data. The goal is not just to show what moved, but to help you understand what most likely caused it.
Really appreciate the thoughtful comment and the support. Huge credit goes to the whole team behind this launch.
ClawSecure
@davorin The "best of BI without the complicated setup" positioning is exactly right. The biggest barrier to data-driven decision making in most teams isn't the data itself, it's the 6-week implementation cycle and the need for a dedicated analyst just to build a dashboard. If you can collapse that to self-serve without sacrificing the depth of custom metrics and dataset preparation, that's a massive unlock.
We run multiple analytics tools internally and the constant friction is always the same: getting from raw data to an actual insight that someone can act on without waiting for an engineer to build a custom query. AI-powered insights on top of that is where it gets really interesting, surfacing the patterns that humans would miss or take weeks to find manually.
The combination of custom metrics, clean dashboards, and automated reporting in one platform is a strong value prop too. Most teams are stitching together 3-4 tools to get what this does in one place. Congrats on the launch!
Databox
@jdsalbego thank you, this is such a thoughtful take.
You captured the core problem really well. For many teams, the biggest challenge is not access to data, it is the time, complexity, and dependency required to turn that data into something useful. That is exactly the friction we have been trying to remove.
We believe the real unlock is making powerful analytics more self-serve without losing the flexibility teams need for custom metrics, deeper analysis, and real decision-making. And as you said, the opportunity gets even bigger when AI can help surface patterns and insights faster than teams could find manually on their own.
Really appreciate you calling out the value of bringing this all into one platform as well. That has been a big part of our vision from the start. Thanks again for the support, and huge credit to the whole Databox team behind this launch.
ClawSecure
@davorin This is because I deal with this daily with my team at our company. Plus, there's so much fragmentation across different current platforms and products to make sense of the data and turn it into actionable insights, so that even makes it more challenging. You might find one platform that does 70% of what you need really well, but you're still missing the other 30% and then trying to migrate them into your company's central data management system in a streamlined fashion is not easy at all.
Wannabe Stark
Synthesia
This is awesome and a very clear peek into where business analytics is moving in the short term. Congrats team!
One question: is there already a Slack integration or potentially coming soon? @davorin
Databox
Thank you @jmarovt, I really appreciate your support. Yes, a Slack app is coming shortly.
I couldn’t find this on the landing page, so asking here... how do you ensure that data we upload or connect remains fully private? What security standards are you following?
Congrats on the launch.
Databox
@zerotox , great question - and a fair point that it's not prominently surfaced on the landing page - https://databox.com/privacy-policy.
Here's what I can share:
Your data is securely stored in our database on our own servers or cloud-hosted environments, protected using encryption, firewalls, and 256-bit SSL
Your user content is kept private within your account - Databox does not monitor it, and database access is granted to technicians only on a case-by-case basis to troubleshoot specific technical issues, or as required by law
Databox does not rent or sell your personal data to others
We are GDPR compliant and have a full Security Policy at databox.com/security-policy with the complete breakdown of our implemented measures.
Thanks for digging in - it's exactly the right question to ask before trusting any tool with your business data. 🙏
Nas.io
Can we be trained on a specific template? For example, let's say the CMO needs the analysis done in a specific style, and templates, can we have them pre-saved?
Databox
@nuseir_yassin1 This is something we're actively working on right now. It's part of our upcoming Train Genie feature, which will let you configure tone, style, formatting preferences, and more, so analyses can match exactly what your CMO (or any stakeholder) expects. Coming soon!"
Grats on launching. How does the tool prevent hallucinations when generating insights from live data? And for live data does the dashboards update in real time?
Databox
@himani_sah1
Re: preventing hallucinations, it's because of how our system converts raw data into KPIs.
For years, we've been building robust integrations with popular tools and systems that let users define their metrics from raw data.
By having that step in between the data and an LLM, you can be confident that the math is being done correctly.
Try it out in a trial. You'll see how it methodically steps through three things before doing any analysis: identifying the data source, identifying the dataset, identifying the metric.
https://databox.com/signup
And re: data in real-time: we pull data every hour. However, if you need 15 minute syncs, they are available. In reality, we're often pulling data right when you're looking at the dashboard as we monitor usage and adjust sync schedules based on it.
Databox
@himani_sah1 Exactly as @pc4media already pointed out. Genie, the AI Analyst, is built on top of strong pillars architected throughout the years:
Strong integrations and data pipelines foundation
Analytics Query Engine, which is responsible for the correctness and completeness of the data
Semantic layer alongside the typical BI & Analytics features
The data is automatically refreshed on a regular frequency as well.