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
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! 🙏
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! 🙏
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.
This looks interesting, especially for teams that want answers quickly without having to build everything from scratch first. The idea of having an AI analyst built right into the BI workflow makes a lot of sense if it can actually help people get to insights faster.
Curious, what kinds of questions are users asking Genie the most right now?
Databox
@akshay_kumar_hireid , great question - and we actually have a pretty good picture of this from beta!
The most common questions fall into a few buckets:
Performance checks - "how did my ads perform last month vs the month before?"
Anomaly investigation - "why did sessions drop last Tuesday?"
Cross-channel comparisons - "which channel is driving the most conversions right now?"
What's interesting is that most of these aren't complex queries technically - but they used to require knowing where to look, which dashboard, which metric, which filter. Genie just removes all that friction.
The "built into the BI workflow" point you made is exactly the bet we made. An AI analyst is only as useful as the data it can access - and since Genie sits on top of all your connected sources in Databox, the answers are grounded and reliable.
Thanks for checking it out today! 🙏
this is pretty cool tbh. a lot of teams want insights from their data, but the setup and learning curve usually slow everything down. having an ai analyst inside databox feels like a smart way to make analytics more approachable.
curious, are people using genie more for quick checks or deeper business analysis?
Databox
@nayan_surya98 , great question - and honestly, we're seeing both!
A big chunk of users start with quick checks: "how did my campaign perform last week?", "is churn up this month?" - the kind of questions that used to require digging through dashboards or pulling a report. Genie makes those instant.
But what's been really interesting is watching those same users go deeper over time. Once the friction is gone, the questions get more ambitious. Teams start doing analysis they simply wouldn't have bothered with before.
The setup and learning curve point you raised is exactly what we tackled head-on. Since Genie lives inside Databox where the data already is, there's no new integration, no separate tool to learn - you just ask.
Thanks for the kind words and for checking us out today! 🙌
Congrats on the launch! Having an AI analyst that can just tell you why a metric has dropped without having to dig through a bunch of dashboards is such a huge time saver for any startup team. Can Genie pull from multiple data sources or is it limited to what's already in Databox?
Databox
@simonk123 , thank you - and great question!
Genie works with everything already connected in Databox - so the scope is actually really broad. That includes 130+ native integrations (Google Analytics, HubSpot, Salesforce, Stripe, Facebook Ads, and many more), databases and cloud warehouses like BigQuery, Snowflake, and PostgreSQL, spreadsheets via Google Sheets or Excel, and any custom data pushed in via our API.
So in practice, Genie can pull from multiple sources at once - as long as they're connected in Databox. You could ask "why did revenue drop last month?" and Genie can look across your Stripe data, your HubSpot pipeline, and your ad spend from Facebook Ads simultaneously to give you a complete answer.
The more sources you connect, the more context Genie has - and the better the answers get.
Hope that helps - and glad the "why did this metric drop" use case resonated, that's one of our favorites too! 🙏
Feels solid but a bit generic AI-powered analytics + answers fast could describe 50 tools on PH. I’d make it sharper with a specific use case or user to stand out instantly.
Databox
@daniel__joseph , fair point - and honestly useful feedback on the positioning.
You're right that "AI-powered analytics + fast answers" is a crowded description. The sharper version is probably this: Genie is an AI analyst built on top of 10+ years of structured, validated business data from 130+ integrations - so the answers are grounded in your actual metrics, not approximated from raw data you paste into a chat window.
The specific user: a marketing lead, ops manager, or CEO who lives in Databox already and needs answers without filing a request to their data team. Not a data engineer. Not someone who wants to write queries or build pipelines.
The specific moment: you're in a meeting, someone asks why revenue dipped last month, and instead of saying "I'll get back to you" - you just ask Genie and have the answer in 30 seconds.
Appreciate this kind of feedback; it makes the product and the story better. 🙏
Databox
@daniel__joseph Valid point. Waaay too many LLM wrappers launching each day. However, Genie is built on strong pillars, architected over 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
All that we learned and gradually built, while serving hundreds of thousands of customers over 10+ years.