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Answers from your data, in plain English.

Stop waiting on someone to pull a spreadsheet. We connect your data and let your team ask questions in everyday words, then get back a clear number, chart, or report in seconds.

Your data, your modelsWorking pilot in weeksHuman-in-the-loopOwned by you
Plain-English questionsSelf-updating dashboardsWeekly summariesYour data stays private
Built around your tools, owned by you
The approach

We turn your data into answers, not homework.

Most teams sit on a goldmine of numbers they can barely use, because getting an answer means asking an analyst and waiting a day. We change that. We connect your sales, finance, and product data into one place and put a plain-language layer on top, so anyone can ask a question and get a trustworthy answer straight away.

Nothing is a black box. You see where each number comes from, the dashboards refresh themselves, and you keep full ownership of the data and the setup we build.

Quick answers

Do I need to know spreadsheets?

No. You ask in plain words, like “which products sold best last quarter?”, and get a clear answer and chart back.

Where does the data come from?

From the tools you already use, your sales, finance, support, and product systems, joined into one tidy place.

Is it accurate?

Every answer shows its source so you can check it, and we test the setup against numbers you already trust before go-live.

What's included

What self-serve analytics gives you.

Ask in plain language

Type a question like you would to a colleague and get a clear answer, table, or chart back in seconds.

Dashboards that update themselves

Live views of the numbers that matter, refreshed automatically, with no manual report-building every week.

Automatic weekly summaries

A short, written round-up of how the business is doing, in your inbox without anyone lifting a finger.

Early warnings

A heads-up when a number drifts off course, so you can act before it becomes a problem.

Tools & tech

Built on tools that play nicely with your stack.

We are model-agnostic and pick the right tool for the job, keeping your data private throughout.

Connect & store

SnowflakeBigQueryPostgresSupabaseFivetran

Ask & visualise

Natural-language queryMetabaseLookerPower BI

Models & safety

GPT-4oClaude 3.5Private deployment
Try it

What is faster reporting worth?

Drag the sliders for a rough figure. Your audit replaces these with exact numbers.

Your estimate
$0
saved per year, when reports build themselves
0
hours saved / month
$0
saved / month
Get my exact numbers

Assumes auto-built reports save ~70% of the manual time. Illustrative only.

How we work

From scattered data to instant answers.

A fixed, momentum-first path, so you always know what is happening and why.

Book an AI audit
01

Connect

We tidily join the data you already have into one trusted place.

02

Define what matters

We agree the handful of numbers that actually run your business.

03

Build the layer

Plain-English questions, dashboards, and summaries on top of your data.

04

Hand over

You own it all, and your team is trained to ask away.

Who it's for

Teams that feel it first.

Retail & e-commerce

See best-sellers, slow movers, and margins without exporting a thing.

Leadership teams

A live answer to “how are we doing?” whenever you want it.

Operations

Spot bottlenecks and waste hiding in your day-to-day numbers.

Finance

Cash flow, spend, and forecasts at a glance, not after a week of wrangling.

Why it pays

Reports that build themselves.

The slow part of analytics is the grunt work, pulling, cleaning, and formatting the same reports every week. We automate that, so your team spends its time deciding, not assembling.

  • Plain-English answers anyone can get, no analyst queue
  • Dashboards and weekly summaries that refresh on their own
  • Every figure traces back to its source
  • You own the data, the dashboards, and the setup
Abstract teal hub-and-spoke network with the AI Data Analytics & Insights icon at its centre, by Rhino Automations
FAQ

AI Data Analytics & Insights: your questions

How long until we see something working?
Usually a couple of weeks for a first working dashboard on your real data, then we expand from there.
Will it work with our existing tools?
Yes. We connect to the systems you already pay for rather than replacing them.
Is our data safe?
Yes. Your data stays private and is never used to train public models. We can run everything on your own infrastructure if needed.
Can non-technical staff use it?
That is the whole point. If you can ask a question in plain English, you can use it.
What does it cost?
It depends on how many sources we connect and how deep you go. We scope it clearly up front, with no surprises.
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Describe the job that wastes the most time. We'll say honestly whether AI can fix it, and what it would take.

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