The approach

What it actually does for your business.

No theory. This is what changes once AxiomSync is connected to your data, and what you can hold us to.

01 · The real cause

You find what is actually causing it.

Your dashboards tell you what moved. They cannot tell you why, so teams spend the month treating symptoms while the cause keeps working.

What changes: every movement is connected to the thing actually driving it, and you see the chain between them. The driver is usually somewhere you would not have thought to look.

For example (illustrative): a rising cost of acquiring customers looked like a marketing problem. It traced back to a sales compensation plan that rewarded new logos over retention. Fixing the right thing recovered 4.2 months of runway.
02 · Where you stand

You know where you stand in ten seconds.

A board does not need forty charts. It needs to know whether the business is improving, holding, or in trouble, and what sits underneath that answer.

What changes: one number for the whole business, and the movements underneath it. Green on paper is not the same as healthy, so we show you what is trending red long before it surfaces in the P&L.

For example (illustrative): a healthy-looking score with three signals set to turn red inside two quarters. $2.3M of exposure the headline number did not show.
03 · What comes first

You know what to do first.

Most tools rank problems by the size of the gap. That is how a loud, harmless number ends up above a quiet, expensive one.

What changes: we rank by consequence. A small miss that propagates through the rest of the business outranks a large one that goes nowhere, and each is priced in dollars, so the meeting is about the response rather than the number.

For example (illustrative): a 5% miss that dragged eight other measures outranked a 20% miss that affected nothing. The 5% one was worth $412k a year.
04 · Before it lands

You see it before it lands.

The expensive problems are the ones you find in the monthly close, weeks after they started compounding.

What changes: a forward view on every signal, given as a range rather than one confidently guessed line, with an alert when that range crosses something that matters to you: a covenant, a cash floor, a raise.

For example (illustrative): a $2.1M cash trough flagged nine weeks out, three weeks before a funding close.
05 · Defensible numbers

Every number is yours to defend.

Sooner or later someone asks where a number came from: a board member, an auditor, a diligence team. “The model said so” is not an answer.

What changes: every figure opens to the source rows behind it, and an audit export reproduces the whole chain so it can be recalculated independently. If something cannot be computed from your data, we mark it and tell you what to connect. We never fill the gap with a guess.

06 · What we don’t do

What we don’t do.

Worth stating plainly, because each one is a decision.

  • No black-box predictions. If an output cannot be traced back to your data, it has no business in a financial decision.
  • No invented numbers. If something cannot be computed, it is marked as such. It is never quietly filled in.
  • No vanity metrics. If a signal does not connect to something that actually affects the business, it is not in the system.
  • No real-time theatre. Financial data is noise at daily resolution. We work at the cadence where the answer is reliable.
  • No benchmarking off your data. Your numbers are never used to grade anyone else’s business.
07 · Under the hood

Transparent to you. Not to the market.

You can verify every number we give you. You just can’t lift the engine.

Open to you: every figure opens to its source rows, and the audit export reproduces the full computation chain for independent recalculation.

Not published: the methods, weights and calibration behind them.

Evaluating us seriously? The technical methodology brief is available under NDA. Request it →

See it on your numbers

See it on your own numbers.

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