Board-ready intelligence,
drafted before you ask.
Your dashboard reports the symptom. Beneath it sit half a dozen explanations that all fit, and ruling out the wrong ones costs a quarter you may not have. AxiomSync goes to the one that is actually driving the number, however far below the surface it sits, prices it, and writes it into your board pack. Chasing versus knowing is measured in months of runway.
No black boxes. Every number traces to its source, and it never fabricates one to fill a gap.
Your dashboards describe. They don't decide.
What your dashboard says. What is actually happening.
Same data, same month. One of these you can act on.
“Gross margin is down 3.1 points.”
Not pricing. Not unit costs. Eleven enterprise accounts on a legacy usage plan whose compute scales 2.4× faster than their price. Left alone that is −$1.4M over four quarters. Seven of them hit auto-renew inside 90 days.
“Acquisition cost is up 18%.”
Marketing is not the problem. Your comp plan pays on logos, so reps are closing low-retention SMB. The chain runs comp → deal mix → acquisition cost → runway. Reweight comp to retention: +4.2 months of runway.
“Churn is flat.”
For now. Second-feature adoption in the cohort signed after your price change fell 14%. That cohort carries 3.1× the forward churn risk: $890k of ARR, visible two quarters before it lands.
“Cash position is healthy.”
For nine more weeks. Your move to Net-60 terms collides with Q4 revenue concentration and opens a $2.1M trough, landing three weeks before your raise closes.
“Contribution margin looks flat.”
It broke six weeks ago. A structural shift of −2.1 points a month is already in the data. The trend line simply has not bent far enough for the eye to catch it yet.
“Revenue grew 22%.”
And your concentration risk grew faster. Two thirds of that growth came from one segment now at 31% of revenue, whose largest contract renews in Q3 carrying a 90-day termination clause. That is a valuation conversation, not a sales one.
“Bookings are ahead of plan.”
Cash is not. The mix moved to annual-billed-in-arrears, stretching cash conversion by 38 days. Every new logo now funds itself for a quarter before it pays you, so growing faster makes the hole deeper.
“Sales headcount is up 40%.”
Ramped productivity per rep is down 18%, and the new cohort does not reach quota until Q4. Your plan books their output in Q2. That is $3.1M of assumed revenue with nothing behind it.
“List prices held all year.”
Realised prices did not. Discount authority moved to the field in Q2 and average realised price fell 6% while list stayed flat. Invisible in the revenue line, worth $2.8M a year.
Six problems, solved on your data.
One place, one set of numbers. No reconciling four spreadsheets to work out what already happened.
The board pack writes itself
It opens with the findings, not a template: what moved, the chain behind it, and what each one costs. You edit rather than assemble.
See a sample board pack →The three things that need you
A 5% miss that drags eight other measures outranks a 20% miss that goes nowhere. The expensive problem sits at the top, not the loudest.
Every gap traced to its driver
Not just the number. The cohort, contract or terms change behind it, priced in annualised dollars.
The cash trough, nine weeks early
A forward range per signal, and the alert when a terms change meets a seasonal peak and opens a hole you can still close.
Answer the board before they ask
Move sales cycle, segment mix or headcount and watch eleven downstream numbers, runway included, move with them.
Catch the break before the trend bends
Structural change sits in the data long before it shows in the chart. We flag the shift, not the wobble.
Anyone can tell you what moved. We tell you what moved it.
When a number moves there are always several explanations that fit, and most are coincidences that cost a quarter to disprove. We follow the chain past the plausible ones to the cause that actually holds, however deep it sits. That distance is a market window, and several months of cash. See the approach →
From raw data to ranked decisions.
Four steps. No analysts, no engineers, no waiting.
Connect your sources
Stripe, QuickBooks, Xero, Shopify, Salesforce, HubSpot, Google Sheets. One-click OAuth, no CSV exports.
UNDER 2 MINUTESSee your health score
99 KPIs auto-computed, data-quality checked, and mapped across 8 domains. Your Health Score is ready the same day.
SAME-DAY INTELLIGENCEUnderstand the drivers
The causal engine maps 500+ relationships between your KPIs. Know what is causing what, not just what moved.
CAUSAL, NOT CORRELATIONALAct on ranked priorities
Priority ranking ranks every KPI by what it actually costs you downstream. Briefs write themselves.
RANKED BY REAL IMPACTConnect the stack you already run.
Stripe
QuickBooks
Xero
Shopify
Salesforce
HubSpot
Google Sheets
No black boxes. Every number traces to its source.
We're early, and we'd rather earn your trust with method than with logos we don't have yet. Here's what that means.
Traceable by design
Every ranking, narrative sentence, and dollar figure can be traced back through defined, testable steps to the data it came from. If it can't be traced, it isn't shown.
See the approach →Honest when it can't compute
Missing an input? We mark the metric uncomputable and tell you what to connect, we never fabricate a number to fill a gap or dress up a chart.
How we keep numbers defensible →Your data stays yours
Row-level isolation per workspace, AES-256 at rest, TLS in transit, encrypted OAuth tokens. Only anonymised KPI aggregates ever reach the AI narrative layer.
Read the security overview →Stop reading dashboards.
Start reading signals.
Connect your first source in under two minutes. Your KPIs, causal map, and 90-day forecast are waiting, or calculate what it’s worth to you first.
Work email required · No credit card · Setup in under 2 minutes