Start hereWhy Beacon — the short version→ What Beacon runsYour strategy runs the companyNumbers you never doubt Every dollar compoundsScale without hiringEvery department fully staffedFundraising built in How to get startedConnect your toolsHow the setup works How you use it dailyYour day Your human staff, fully informed
Start hereThe Engine — overview→AutonomyWhat Beacon writes back→Integrations Unified everything The complete customer view Data Integrity Lifecycle intelligence Segments & Cohorts Predictive paths Where the limits areHow much you let it do
Start hereOne engine, six systems→AutonomyChoose your autonomy→ Command systemOverview What it doesYour strategy runs the companySet targets Align every team Track and re-steer Guardrails Act early The intelligence it createsKnow early Growth systemOverview What it doesEvery dollar compoundsCampaign-to-cohort Deal-to-revenue Contract-to-renewal The intelligence it createsMarketing intelligence Sales intelligence Customer intelligence Pricing intelligence Finance systemOverview What it doesForecasting Sales forecasting Cash runway Board reporting Honest states The intelligence it createsSaaS metrics Forecast confidence Benchmarks Capital systemOverview What it doesInvestor data room Round manager For investors The intelligence it createsCapital scenarios Capital-to-revenue Capital benchmarks Capacity systemOverview What it doesScale without hiringEvery department fully staffedThe roles Beacon covers Capacity for every system The intelligence it createsCapacity-to-revenue
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Data integrity

Wrong data doesn’t announce itself. Beacon does.

Complete, correct, current — checked continuously across every source you connect. When something breaks, Beacon catches it, names it, and holds back what it touches.

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98%
Data integrity
99%Complete
98%Correct
97%Current
Checked 4 minutes ago
across 5 connected sources
Illustrative
Why it matters

Bad data doesn’t look bad. It looks like a number.

Nothing in your stack is built to tell you that the figure it just rendered stands on something that broke last Tuesday.

Your BI dashboard
Every chart rendered on schedule this morning, exactly as it was built to.
Never saw
Billing stopped answering eight days ago.
Your CRM
1,240 accounts. Every required field filled, every owner assigned.
Never saw
38 of them are the same 12 companies.
Your spreadsheet model
The formulas are right. Two people checked them, twice.
Never saw
June closed twice, at two different numbers.
None of them are wrong. Every one of them is confident — and that is the problem. A broken input produces a number that looks exactly like a good one, and it goes on looking like one all the way into the board pack.
What Beacon catches

Break something. Watch it get caught.

Five things that go wrong in every company’s data. Pick one, and see what happens to your numbers.

Billing
4 min ago
Clear
CRM
6 min ago
Clear
Accounting
1 h ago
Clear
Usage
12 min ago
Clear
Support
5 min ago
Clear
Data integrity
98%
Checked and complete
Complete is all of it here 99%
Correct does it agree with itself 98%
Current is it today’s truth 97%
Nothing to catch
Every source answered. Every record resolved.

This is the state Beacon holds by default — not a report somebody runs, a check that never stops. The score is the roll-up of the three readings you can see.

WatchingBillingCRMAccountingUsageSupport
Caught · freshness
Billing stopped answering on 21 July.

Every figure built on billing is stamped nine days old, and MRR stops moving rather than repeating yesterday’s. You hear about it the morning it happens, not the week you notice.

What it touchesMRRNRRCash collected
Caught · disagreement
Billing says $2.14M. Accounting says $2.10M.

Beacon finds the four credit notes behind the $40k, shows both figures side by side, and holds the reported number until you say which system is the book of record.

What it touchesRecognised revenueGross margin
Caught · matching
Alder Freight, Alder Freight Ltd and ALDER FREIGHT are one company.

Counted once, with the match shown so you can check it yourself. Your systems keep their own names — nothing inside them is touched.

What it touchesAccount countNRRSegment sizes
Caught · coverage
Usage data is in for 61% of your accounts.

Health scores print for the 61% and stay blank for the rest. Nothing is averaged over the accounts Beacon cannot see, and the share it stands on is printed next to it.

What it touchesProduct healthChurn risk
Caught · late arrival
340 June invoices arrived on 12 July.

June is reopened, restated and stamped — and everyone who saw the old figure is told what changed. That restatement is the story below.

What it touchesJune MRRQ2 close

Illustrative — the checks are real, the numbers are a worked example

When a number changes

A number that changes should say so.

Late data is normal. Quietly restating a figure that eleven people already used is not. Here is what happened to June.

30 Jun
June closedPublished into the board pack, two dashboards and the forecast.
$1.84M
Sealed · v1
12 Jul
340 late invoices arriveA billing export stuck since the 28th finally lands.
+$30k
Caught on arrival
12 Jul
June is restatedRecomputed from the whole month, not patched on top of the old figure.
$1.87M
Sealed · v2supersedes v1
12 Jul
Everyone who used it is toldThe board pack, both dashboards and the agent that quoted it — each with what moved and why.
11 places
Same day
Both versions stay. You can open the June the board saw next to the June that is true, and see exactly what moved between them. The old figure is never quietly swapped out — it is superseded, in the open.

Illustrative

Data integrity + forecast confidence

One keeps your numbers honest. The other tells you what they’re worth.

98%
Data integritychecked and complete

Your numbers are kept true.

Connected at source, checked continuously, complete. Nothing quietly rots underneath what you report.

See data integrity → You’re here
91%
Forecast confidencesafe to act on

And you know what they’re worth.

Every forecast arrives with a reading, so you know which numbers to bet on and which to hold.

See forecast confidence → You’re here

Illustrative

One without the other is just a tidier guess.

What changes

You stop checking the numbers. Everyone starts trusting them.

For you

You open the report and act on it.

The checking already happened overnight, on every record, in every source. You are not the last line of defence any more.

For your team

Nobody rebuilds a figure to be sure.

The number on the screen is the one that was checked, and it says so. The parallel spreadsheet stops being worth keeping.

For your board

A change arrives before the question does.

When a figure moves after it was published, they hear what changed and why from you — not from an inconsistency they spotted themselves.

Data integrity

Find out what your numbers are actually built on.

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Connect one source and the checking starts the same day. Nothing to schedule, nothing to configure.