Trust what your documents say
Facticy fact-checks your presentations and reports with a panel of three independent models that cross-check each other over shared evidence — and marks exactly what to fix, without ever touching your format.
3
independent AIs per panel
6
deterministic checks, no LLM
3
trust scores per document
0
training on your data, ever
Three scores, one clear picture
Every document comes back with three independent read-outs — so you know exactly what to trust and what to fix.
Factual soundness
How well the claims hold up against real evidence.
Human authorship
An estimate of how likely the text was AI-written.
Communication quality
Structure, action titles and clarity — a senior partner's read.
Real example — a claim that went to all three models
"The Spanish steel market grew 25% in 2024, reaching €48 billion."
Slide 12 · extracted automatically from your deck
Official data shows the market contracted 3% in 2024. The 25% growth figure is contradicted by primary sources.
reuters.com
INE statistics report a decline, not growth, for the sector in 2024. The claim's magnitude is refuted.
ine.es
Both independent and official sources contradict the claimed growth. Verdict: false with high confidence.
reuters.com · ine.es
Final verdict: FALSE (3/3 consensus) — marked on its slide with the correction proposed as a comment.
Everything you need to ship with confidence
Claim-by-claim verification
Every figure, date and fact is extracted with its slide's context and checked against official statistics, annual reports and reputable press — one shared evidence base, three independent judges.
Multi-AI debate
Two independent models vote on every claim and a third arbitrates when they disagree; then the panel debates. You see each model's reasoning, its confidence, and how verdicts changed after the debate.
Your format, untouched
The reviewed copy marks each issue on its slide with the proposed fix as a comment — native PowerPoint/Word comments included. Your bullets, fonts and layout stay exactly as they were.
Quality like a senior partner
Action titles, MECE groupings, pyramid structure: actionable feedback slide by slide, with the rewritten title or regrouping proposed — not generic advice.
How it works
From a raw file to a verified, annotated document — the full pipeline, in five steps.
1 · Upload
Drop a PPTX, DOCX, PDF or image (or paste text). Facticy parses every slide, table and native chart — and reads text and figures out of images with vision.
2 · Extract claims
An AI pulls out every verifiable claim — figures, dates, names, statistics — each tagged with its slide and a weight. Opinions and filler are ignored.
3 · Deterministic checks
In parallel, no-LLM engines recompute your maths (CAGR, totals, percentages), check native-chart integrity and terminology, and reconcile every figure against your source Excel model.
4 · Research + AI panel debate
One web-research pass builds a shared evidence base. Two independent models judge every claim on that evidence; where they disagree, a third joins to arbitrate, and the panel debates over up to three rounds until it converges.
Two independent models vote separately and a third arbitrates when they disagree — a claim is only marked FALSE with contradicting evidence, and disagreements go to a directed debate.
5 · Scores + annotated document
You get three scores, a verdict per claim with its sources, and your document back with each issue marked in place — plus optional corrected and plain-language versions.
See it in action
Every flagged claim comes back marked on its own slide, with the correction and sources as a native comment — your formatting untouched.
Market overview
Slide 12Contradicted by INE/Reuters: the market contracted 3% in 2024. Suggested: “declined 3% to €38bn”.
ine.es · reuters.com
Five verdicts, no false certainty
Every claim gets one of five verdicts — and "we can't confirm this" is a first-class answer, not a failure.
Verified
Trusted-source evidence supports the claim and the models agree.
False
The evidence contradicts the claim. Absence of evidence is never "false".
Partial
Partly supported — true only under a specific period or definition.
Disputed
Sources or models contradict each other. Both sides are shown with their sources.
Unverifiable
No sufficient evidence in reliable sources. Not the same as false.
How we verify
The full method — sources, models, verdicts and every limitation, in plain language.
Your documents stay yours
Built for confidential material from day one.
EU-hosted & encrypted
Stored in the EU and encrypted at rest.
Never trains AI
Your content is never used to train any model.
Confidential mode
Verify fully offline — no web search, no images leaving.
You control retention
Keep it, delete after analysis, or auto-delete in 30/90 days.
Questions worth asking
The things people check before uploading a confidential document.
How does Facticy decide if a claim is true?+
Each high-weight claim triggers a live web search that builds a shared evidence base, ranked by source independence (official, independent, or the subject's own). Two independent models then judge that evidence, a third arbitrates where they disagree, and the panel debates. The verdict comes from the sources, not from a model's memory, and every verdict links to those sources.
What can I upload?+
PowerPoint (.pptx), Word (.docx), PDF, and images (PNG/JPG/WebP) — images are read with vision to recover their text and figures. You can also paste raw text or verify a single claim without uploading anything.
Are my documents used to train AI?+
No. Your files are never used to train any model — the AI providers do not train on API data, and we don't either. You can also run in confidential mode, which verifies without any web search or images leaving our infrastructure.
Where are my files stored, and for how long?+
In the EU (Cloudflare R2, EU jurisdiction; compute in Germany), encrypted in transit and at rest. You control retention: keep files until you delete them, delete the original right after analysis, or auto-delete after 30 or 90 days.
What do the verdicts mean?+
Five: Verified, False, Partial, Disputed, and Unverifiable. "Unverifiable" means there isn't sufficient evidence in reliable sources — it is not the same as false, and we never present a lack of evidence as a confirmation.
Does this replace human review?+
No — it is a first pass. For legal, medical, financial or editorial decisions with real stakes, expert human review is not optional. Facticy's job is to make that review start with a map instead of blind. The methodology page lists every limitation in full.
Check your next document before your audience does
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