DataWhisperer.ai

Your business's memory, and an analyst that never guesses.

Most business intelligence hands you a chart and asks you to trust it. We build the verified record underneath it first — every fact sourced, dated, and marked with how confident it is — then put an analyst on top that answers in a sentence and shows its working.

What that means in practice

It says "not found"

When a source cannot be verified, the record says so instead of filling the gap with something plausible. On a recent build, roughly a quarter of the rows are open questions — and that list is as useful as the answers.

It corrects itself out loud

When an operator corrects a fact, the correction runs through everything built on it and the withdrawn figures stay visible, marked. A system that quietly overwrites its mistakes cannot be audited.

It arrives knowing things

The first version is built from the public record before a single internal system is connected. Connecting your data makes it sharper. It is not the entry price.

Every claim carries its confidence

Nothing in a Data Whisperer record is unattributed. Each row carries a source, the date it was true, and one of three labels — so you always know whether you are reading a fact, a conclusion, or a gap.

V — verified, the source was loaded I — inferred, reasoning shown U — not found, and recorded as such

That is the whole discipline. It is unglamorous, and it is the only reason the answers are worth acting on.

Who it is for

Operating businesses — manufacturing, print, distribution, multi-site services — where the numbers live in four systems that do not talk to each other, and the person who understands how it all fits together is also the person with no time.

Work is delivered as a private, per-client build. A small number of clients at a time, deliberately.

How an engagement runs

One agreement, one scope The initial build is written down once, before anything is built. There is no second statement of work, no re-quoting each time you want something. A structure that charges you for asking is a structure that teaches you to stop asking.
A boundary, not a feature list If it uses data already flowing, it is included — new questions, new views, new alerts, unlimited use. Work that needs a new extraction, or software that acts rather than answers, is a separate piece of work. One line, stated up front, that holds against requests neither of us has thought of yet.
A roadmap you steer What gets built next comes off a living board — things you asked for, things we recommend, and things we found while working. Both decision-makers have to agree before anything enters the queue.
No meter AI operating cost sits inside the price and you never see a counter. If that cost ever approaches the envelope, you hear about it before it does, not after.