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That is not the same as checked.

marlow checks the claims inside the documents your firm relies on — the client report, the board paper, the research you are about to act on — and the ones you author, before they leave the building. Whether the quoted experts exist, whether the cited studies are real, whether the numbers trace back to a real source. The conclusion stays yours.

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advisory-insights.com/research/au-midmarket-cloud-outlook-2030
Advisory Insights · Market Research
Australian Mid-Market Cloud Spend Set to Reach A$14.2 Billion by 2030
By J. A. Hartwell · March 12, 2026 · 6 min read
The mid-market segment is now the fastest-growing component of domestic technology expenditure. There are approximately 2.6 million actively trading businesses in Australia, of which mid-sized firms account for a disproportionate share of new platform spend. The OECD's 2025 Digital Adoption Review found that comparable economies are migrating core workloads at roughly twice the rate observed three years earlier. Dr. Helena Marsh, Principal Analyst at the Institute for Digital Economy, describes the shift as the most consequential reallocation of IT budget since virtualisation. On current trajectory, the segment will reach A$14.2 billion by 2030.
3
marlow
advisory-insights.com
Check firstChecked —
nothing found
Verify before sharing
Claims checked · 4
3 worth checking before you share it — 1 confirmed against its source.
Unverified expert
No professional profile, publications, or institutional record found for Dr. Helena Marsh — and no organisation trading as the Institute for Digital Economy in any checked registry.
"Dr. Helena Marsh, Principal Analyst at the Institute for Digital Economy"
No record of citation
The OECD publication catalogue contains no Digital Adoption Review for 2025, or any year. This citation may not exist.
"The OECD's 2025 Digital Adoption Review"
Traced to a single weak source
The A$14.2 billion projection appears in one vendor blog post from 2024 and nowhere else — no methodology, no dataset, not carried by any market research house.
"the segment will reach A$14.2 billion by 2030"
Matches source
ABS counts about 2.6 million actively trading businesses in Australia — the article's figure matches.
"approximately 2.6 million actively trading businesses in Australia"

This is already happening

And it isn't a few headline cases. An audit of 2.5 million biomedical papers found fabricated references have climbed roughly twelvefold in two years — reaching one paper in every 277 by early 2026.

Receipts, naturally — The Guardian · Fortune · International Accounting Bulletin · Semafor · STAT / The Lancet

What marlow actually checks

  • Fabricated quotes and unverified experts Direct quotes and named authorities we can't confirm are real.
  • Fake citations Studies and journals we can't find in academic databases.
  • Unsourced statistics Numbers that look fabricated or can't be traced to a real source.
  • Events reported nowhere else Named events we cannot find documented in independent news coverage.
  • And every claim gets a named answer Confirmed, contradicted by the source, no record found, nothing that can check it, or not checked in this scan — we tell you which, every time.

Every check runs against a registry of authoritative sources — 15 live today, with 34 more mapped and licence-assessed, with industry‑specific source packs on the roadmap.

A quote with no source.
A data point that seems made up.

So who checks them? marlow does.

Check the report before it goes out.

Scan a report in your browser today. Open the Documents tab in the marlow panel and drop in a PDF or Word document — currently in beta — and every checkable claim gets the same treatment as a web page: checked against external sources, each landing in a named, auditable state. A report you commissioned, a supplier's white paper, research you're about to act on — checked before you rely on it, whether AI wrote it or not.

The check has to be independent of whatever produced the document — the system that writes a claim is the wrong system to certify it, the same reason the auditor is kept separate from the accounts. As more documents are drafted by machine, an independent, claim-level evidence trail is what lets a team show its work held up before anyone relied on it.

A pre-send verification API is in development. Submit a document's text and get back the same per-claim evidence cards as a structured record: what was checked, against which sources, and which of seven honest states each claim landed in. Not a score you have to trust — receipts you can audit. We're onboarding pilot partners first.

Pilot access — talk to us
We're talking to our first partners now.

The limits, stated plainly.

Is this a truth detector?
No — and be wary of anything that says it is. We check whether the evidence behind a claim holds up: does the cited study exist, does the named expert have a record, does the figure match the official series. Whether the article's conclusion is right stays your call.
Does it rate political bias?
No. Political leaning isn't what we measure. A fabricated source is a fabricated source whoever publishes it — the checks run identically on every outlet.
What happens when nothing can be found?
We say so. "No record in checked sources" means the sources we consulted had no matching entry — absence isn't proof, and the claim may still be accurate. What we won't do is fill the gap with a confident guess.
Can it be wrong?
Yes — which is why every finding shows its working, and why each update must pass the same exam before it ships: claims we already know the answers to, fakes it has to catch and truths it has to leave alone. One miss and it doesn't ship. You can also challenge any flag from the panel.
Does it check images or video?
No. That's a different problem with different tools. We stay where we're strong: written claims, checked against the record.
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