AI-powered analytics for teams
that need answers now

With AI-powered analytics, Databox lets anyone ask real business questions, get clear explanations, and move from dashboards to decisions – without waiting on analysts or rebuilding reports.

Whether your data lives in spreadsheets, reporting tools, databases, or across dozens of platforms, Databox connects directly to the tools teams already use — with native integrations, authentication management, and standardized metrics built in.

Instead of building pipelines, modeling every metric from scratch, or managing warehouses, teams can move straight from performance data to clarity, confidence, and action.

Dashboards are still useful for monitoring metrics at a glance. Databox dashboards are easy to build and highly visual, making it easy to share business performance clearly and quickly.

But dashboards alone often raise more questions than they answer. Databox combines dashboards with AI explanations so teams can track KPIs, investigate changes, understand what's driving performance, and decide what to do next. In other words, dashboards show what happened, while Databox AI helps you explain why it happened.

Traditional BI tools are designed primarily for analysts who build data visualizations, like dashboards and reports. But they are often outdated and cumbersome, requiring a highly technical user who knows SQL and can manage complex data pipelines. But for many scaling businesses, this is overkill.

Databox helps teams who want to move fast get clear answers from their performance data, instantly. By removing the complicated setup, steep price, and long learning curve, Databox helps your data finally work at the speed of your business.

With self-service business intelligence and analytics, including 300+ plug-and-play templates, anyone on your team can build dashboards and reports in minutes.

And now with AI-powered analytics, anyone can ask questions in plain, conversational language and get explanations grounded in trusted metrics – without writing queries or even building dashboards.

Databox connects directly to your existing tools, so teams move from data to explanation to action without analytics bottlenecks.

No. Databox connects directly to more than 130 business tools and platforms, so you can start analyzing performance without building complex data pipelines.

You can pull data from tools like CRMs, marketing platforms, spreadsheets, databases, and analytics tools into one place, then clean and standardize it using Databox datasets.

This allows teams to get answers from their data without engineering overhead.

Databox standardizes metrics across your tools so AI answers are based on consistent business definitions — not raw, inconsistent data.

Not only that, but Databox's sync engine watches 130+ integrations around the clock. Over the last 90 days the public Status Page shows 100% connector uptime and 99.98% web-app uptime, and you can check those numbers any time. If an API changes, the connector flips to “Reconnect,” you get an instant in-app alert, and you can pull a manual refresh while support tackles the fix. In short, your dashboards stay fresh and you skip the connector headaches that plague other tools.

Yes. Databox was built for self-service, so even a teammate who has never opened a SQL editor can explore data on their own. AI capabilities like Genie, the AI Analyst, allow anyone to ask questions of their data or build dashboards, simply by talking to their data.

Plus, with 300+ prebuilt dashboard and report templates, building data visualizations is easy and within reach for anyone, regardless of technical skill level.

The result is simple: business analysts focus on strategy instead of ticket queues, and every teammate owns the numbers they influence.

Databox integrates with 130+ popular business and marketing tools. These include platforms for marketing analytics and automation, sales and CRM, finance and subscriptions, advertising, product analytics, and more.

Databox also lets you track any custom metrics from Google Sheets or Excel, run queries and pull structured data directly from your database or warehouse, or sync custom data from a Cloud-Based app with API access.

No matter where your data lives, Databox brings your data into one place so you can analyze performance across their entire tech stack.

Databox helps teams move from insights to action. In addition to analytics and dashboards, teams can align the organization around OKRs (objectives and key results), track goals and KPIs, forecast the performance of their metrics, set alerts for important changes, and share automated reports and updates.

This helps organizations connect strategy, execution, and real performance data so they can manage progress more deliberately.

Databox is built to expand, not expire. Every paid tier already comes with unlimited users, unlimited dashboards, and unlimited custom metrics, so new teams or KPIs never force a plan jump.

When your stack gets heavier, Growth and Premium plans add data prep, row-level drill-downs, direct SQL database connectors, AI performance summaries while Premium even bundles 100 data sources before any overage kicks in.

All of it runs on the same cloud engine that has logged 100% connector uptime and 99.98% app uptime over the past 90 days. In short, you can start with one team and scale to the whole company without migrations, seat limits or performance trade-offs.

Databox runs on AWS infrastructure with AES‑256 encryption at rest, TLS in transit, VPC isolation, 24/7 monitoring, and quarterly penetration testing. The platform adheres to GDPR for all customers and inherits AWS's ISO 27001, SOC 1/2/3, and PCI‑DSS certifications. Role‑based access, audit logs, and data‑retention safeguards ensure only authorized users see sensitive information. Databox is currently pursuing SOC 2 attestation, expected in 2026.

Legacy BI and in-house development can drain budgets; Databox keeps the numbers tight.

A typical enterprise-license BI stack charges per user and is billed annually, so rolling it out to just 25 people lands more than $30k a year before any consulting or setup fees. Hiring a single data engineer to build and maintain an in-house solution costs roughly $150k in salary alone, not counting tools or overhead.

By contrast, Databox offers a completely free plan for up to 3 users with access to 3 data sources, 1 dashboard, daily data refresh, and our brand new MCP, which lets you connect your data to your favorite LLMs like Claude and ChatGPT.

The Professional plan is $199 per month (or $159 per month with annual plan) and includes unlimited users, unlimited dashboards, and unlimited custom metrics – plus reports, goals, and the ability to pull data from Spreadsheets and Custom Integrations. Extra data sources are only $7 each per month (or $5.60 per month with annual plan).

The Growth plan (our most popular) brings in the power of Advanced Analytics, with the ability to do data preparation and build Datasets, plus raw data exports and drilldowns. It also unlocks AI-performance summaries, and anomaly detection.

And if you need more horsepower? Premium is $999 per month (or $799 per month with annual plan) with 100 data sources bundled and still no per-seat fees. It packs in a lot of additional value, including OKRs, advanced security, 15-minute sync, priority support, and more (add-ons valued at over $1100).

Every plan starts with a 14-day full-feature trial so you can prove ROI before spending a dollar.

Because dashboards can go live the same day and there's zero per-user licensing, most teams recoup the subscription in days instead of quarters. Leaving six-figure legacy costs (and salaries) on someone else's balance sheet.