Business intelligence, answered

Say it. Get the fact.

Ask a question about your business in plain language and get a trusted answer back. No analyst in the middle. No dashboard to build first.

See it on your data

The people with the answers are drowning in the work

Rebuilding the same report every week. Stitching spreadsheets together. Reconciling two numbers that should have matched. Explaining results instead of investigating them.

The people who know the business best spend their week producing numbers rather than acting on them.

Many reports converge on one analyst, who feeds answers back to everyone waiting

The problem was never the questions

Why are margins falling? Which customers are actually profitable? What changed this month? Every business has these. The cost is everything that happens between asking and knowing.

The same question by two routes: days through reports, spreadsheets and a meeting, or minutes through FactSmith

Answers, not dashboards

A dashboard answers the question someone had six months ago. FactSmith answers the one you have now, and shows you what it did to get there.

Suggested starting questions

Ask it how you'd say it

Speak the question. FactSmith transcribes it and shows you the text before it runs, so you can correct a misheard product name instead of wondering why the answer looks wrong.

A spoken question transcribed into editable text

Where data becomes fact

Between your systems and your answer sits a layer that knows what your business means by revenue, customer and on time. That is what makes an answer trustworthy rather than merely fast.

Raw data becomes business meaning, becomes a fact, becomes a decision

Every answer explains itself

A tile explaining which fields it used and why

Ask any answer why it looks the way it does and it tells you: which fields it used, and in plain language why it drew this chart rather than another. You can read the query it ran, and refine it by asking again.

Keep the answers that matter

Save any answer, and it is there tomorrow. Group the ones you check regularly into a dashboard that persists -- yours, named, laid out how you want it.

A saved operations dashboard

Ask your dashboard what is happening

An analysis report over a dashboard

Turn a dashboard into a written brief. FactSmith reads the tiles on it and produces an executive summary of what is happening and why, with the charts embedded and the whole thing exportable to PDF. The numbers are calculated, not narrated into existence.

Someone has to say it is true

Anyone can save an answer. Only an administrator can vouch for one, and that is what turns it into a fact.

Without that asymmetry every saved number drifts towards looking official, and the word trusted stops carrying information. A vouched-for fact teaches the system how your business asks questions. It never answers on its own, because a fact confirmed in error would then be repeated identically forever, and nobody would notice.

The facts review queue

Know when to pay attention

Set a target for a measure, without waiting for a release. Tiles colour themselves against the target behind their numbers, so a dashboard shows you what is off track before you have to read it.

Targets screenshot not yet captured -- see roadmap for the capture list.

Know what it costs, and where it goes

Choose which AI model answers your questions. Before you choose, FactSmith shows what each one costs per question and states plainly whether using it sends anything outside your network.

Every question is recorded with what it cost to produce. Including the ones your permissions refused: those cost real money too, and leaving them out would under-report the bill.

Model picker showing cost per question and egress disclosure

Why you can trust the answer

Permissions are enforced beneath the AI, not by it. A regional manager asking about revenue gets their region, because the rest of the data never reaches the model.

Your business, the fact layer, a trusted answer

What is here today

Available now

FactSmith Ask

Answers out. Available and in use.

Early development

FactSmith Easy Data

Data in. Being built now.

On the roadmap

The wider platform

Cloud identity, Teams and Copilot, an aggregate engine that learns from use.

It runs where your data already lives

One company, one source database, one deployment. Not a shared platform holding everybody's numbers in the same place.

An evaluation copy is a folder and an installer. It needs Docker Desktop and nothing else, and no internet connection once it has reached you. It works before you give it an AI key: the questions it suggests have verified answers stored with them, so a first session works end to end out of the box.

Every business deserves access to its own intelligence

See FactSmith answer questions about your own data.

Arrange a demonstration