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
What excites me about Genie is how quickly it changes your relationship with data.
As a Director of Engineering at Databox, a big part of my job is turning metrics into context. Reports, updates, explaining what’s actually going on behind the numbers. Genie shifts that from “looking at dashboards” to actually talking to the data.
And from an engineering perspective, that “just works” feeling is anything but simple. You’re dealing with cross-data-source querying, interpreting intent, and matching that to the right data in real time. When it feels effortless, it usually means a lot of hard problems were solved behind the scenes.
The practical impact is immediate. Less time navigating charts, more time understanding what’s happening and communicating it clearly. I get that time back to focus on actual impact.
It’s one of those shifts that feels obvious once you use it.
Documentation.AI
Congrats on the launch!! Is there a page I can see the integrations possible? Thanks.
Databox
@roopreddy , thank you! Yes - full list is at databox.com/integrations. We support 130+ integrations covering analytics, ads, CRM, ecommerce, email marketing, databases, warehouses, and more.
Hope you find what you need! 🙏
ConnectMachine
Looks pretty slick! Does it handle role-based access control across teams and dashboards? Congrats!!!
Databox
@syed_shayanur_rahman , great question - and yes, Databox has solid access control built in!
Here's how it works:
User roles - select between Admin, Editor, User or Viewer role
User permissions - you can add and manage permissions for your team, so you can define which data sources and dashboards they have access to
So whether you're a team that needs to keep marketing away from finance data, or an agency managing multiple clients, the access model has you covered.
Thanks for checking it out! 🙏
this will be a homerun application. Could use this on a small scale business to i supose?
Databox
@sonny_van_wiele , absolutely - small businesses are actually one of the best fits for Genie!
You typically don't have a dedicated data analyst, so every time you need an answer about your performance, it either takes forever or just doesn't happen. Genie fills that gap - you just ask the question and get the answer, no technical skills needed.
As a data analyst, I was genuinely curious how Genie would handle nuanced questions. I tested things like month-over-month retention by segment and root-cause questions about churn spikes. The answers were accurate, and the reasoning was sound. It will not replace deep analysis - but for the 80% of everyday data questions, it delivers consistently.
Databox
@tadej_kelc , a data analyst putting Genie through its paces with retention by segment and churn root-cause questions - and coming away satisfied - is honestly one of the best reviews we could get today. Thank you for sharing it!
And that "80% of everyday questions" framing is exactly right. Genie isn't trying to replace the deep analytical work that requires a skilled analyst - it's trying to eliminate the routine, repetitive questions that eat up that analyst's time and slow everyone else down.
When the 80% is handled, analysts like you can focus on the 20% that actually requires your expertise. That's the right division of labor.
Really appreciate you testing it seriously and giving an honest take. 🙏
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.
I have been close to this product for a long time. What still gets me is watching someone use it for the first time - they come in skeptical, type one question, and within 30 seconds they are already asking a follow-up. That moment where skepticism turns into genuine curiosity is the best signal a product can give you. Really proud of what the team shipped.
Databox
@tijana_milasevic1 You are right. The "follow up" question is what hooks people.
I think they realize that to ask that follow up question in the past, they had to go to another dashboard, create a new metric or worse: go ask someone else how to look at the data that way.