VexorParseAnalyze a deck

AI due diligence for pitch decks

The first read on every deal.

VexorParse reads a pitch deck the way a skeptical partner would: it extracts the numbers, checks the math and flags what the founders didn't say. A structured memo in about a minute.

Drop a pitch deck here

Get a skeptical first-read memo before you spend an hour on the call.

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Free beta: documents are analyzed by Google's Gemini API, which may use submitted content to improve its services. Upload only documents you own or are permitted to share. Details

How it works

A partner's skepticism, at the speed of software.

Summaries repeat what the deck says. VexorParse tests it — every figure in the memo is tied back to the slide it came from, and anything missing is called out as missing.

01

Read every slide

Text, tables, charts and footnotes are parsed together, so a number on slide 14 is checked against the claim on slide 3.

02

Check the math

Runway, implied revenue multiples, LTV/CAC and growth rates are recomputed from the deck's own inputs. Inconsistencies are flagged with slide references.

03

Write the memo

You get a scored, structured first-read memo: what the company really does, a metrics audit, ranked red flags and the five questions to ask.

Angel investors

Triage inbound decks in minutes instead of evenings.

Family offices

A consistent first screen across every opportunity you see.

VC analysts

Start from a structured memo, not a blank page.

Founders

Find the weak points in your deck before investors do.

Sample memo

Exactly what you receive.

Below is a complete, unedited memo for a fictional seed-stage company. Your report follows the same structure, built only from the document you upload.

Sample memo · fictional company

Northwind Freight

Inventory reconciliation software for mid-market third-party logistics warehouses.

Sector
Logistics software (B2B SaaS)
Stage
Seed
Raising
$2.5M
Valuation
$18M pre-money (stated)
Overall score
58/100
Clarify before meeting

Strong team in a real market, but revenue is dangerously concentrated and the valuation assumes a scale the traction does not yet support. Worth a call only if anchor contracts are long-term and the founders are flexible on price.

Team

78

CEO previously sold a warehouse-robotics startup; CTO led WMS integrations at a large 3PL (Slide 3).

Market

70

Credible bottom-up market sizing of ~$4.2B (Slide 5), though the 'serviceable' share relies on aggressive adoption assumptions.

Traction

48

$42K MRR with healthy growth, but 62% of revenue sits with two customers on 30-day terms (Slides 9-10).

Terms & valuation

38

$18M pre-money on ~$504K ARR implies ~36x ARR, well above the typical range for comparable seed rounds.

What the company actually does

Northwind sells inventory reconciliation software to mid-sized 3PL warehouses and charges a monthly fee per site. It is pitched as an autonomous AI platform, but the deck's own implementation slide shows roughly 40% of onboarding is manual data cleanup done by the team, so today it behaves more like tech-enabled services than pure SaaS.

Metrics audit

MetricClaimedFindingStatus
MRR$42,000Two accounts make up $26K of MRR; losing either would cut revenue by roughly 30%.Concern
MoM growth14% (last 6 months)Growth is driven by expansion of the same two accounts, not new logos (Slide 9 vs Slide 10).Watch
LTV / CAC12 : 1CAC excludes founder-led sales time and onboarding labour; a fully loaded ratio is likely closer to 3-4 : 1.Concern
Gross margin78%Inconsistent with the manual onboarding described on Slide 12 unless those costs sit below the line.Watch
Net burn / runway$55K/mo, $250K cashRecomputed runway is ~4.5 months, meaning the company is raising under time pressure.Concern
Net revenue retentionNot disclosedNo cohort or churn data provided despite 14 months of revenue history.Not disclosed

Strengths

  • Founders with directly relevant operating experience and a prior exit in the same industry (Slide 3).
  • Clear, painful problem: inventory mismatches cost mid-market 3PLs measurable penalties (Slide 4).
  • Strong pull from existing customers: both anchor accounts expanded seats within 6 months (Slide 9).

Red flags

  • Severe customer concentrationCriticalSlides 9-10

    62% of MRR comes from two customers on 30-day cancellation terms. Revenue quality is far weaker than the headline number suggests.

  • Valuation out of line with tractionMajorSlide 16

    ~36x ARR at seed with concentrated revenue. Typical ranges for comparable rounds are materially lower.

  • Unit economics presented on a partial cost basisMajorSlide 11 vs Slide 12

    CAC excludes founder sales time and the manual onboarding effort, inflating LTV/CAC.

  • Short runwayMinorSlide 15

    ~4.5 months of cash weakens negotiating position and increases execution risk if the round slips.

Questions for the founders

  1. 01

    What are the contract terms, renewal dates and termination clauses for the two anchor customers?

    They represent most of the revenue; their stability determines whether the business is real.

  2. 02

    What is CAC when founder time and onboarding labour are fully loaded?

    The 12:1 LTV/CAC is the core efficiency claim and appears overstated.

  3. 03

    How much of onboarding is still manual, and what is the roadmap to automate it?

    Determines whether margins and scalability look like software or services.

  4. 04

    If the round takes 90 days longer than planned, what is the plan to extend runway?

    With ~4.5 months of cash, timing risk is significant.

  5. 05

    How many qualified new logos are in the pipeline, and at what stage?

    Growth so far is expansion-led; new customer acquisition is unproven.

Not in the document

  • —Customer-level revenue breakdown and contract terms
  • —Cohort retention and churn data
  • —Current cap table and prior instruments (SAFEs, notes)
  • —Detailed use of funds and hiring plan

Generated by VexorParse from the supplied document only. AI analysis can contain errors and omissions; verify all figures independently. This memo is for informational purposes and is not investment, legal or tax advice.

Pricing

Free during the public beta.

Use VexorParse free while we refine it. Paid plans with confidential processing are coming — join the waitlist to get launch pricing.

Public beta

Available now
$0

Full access while we're in beta.

  • Complete memos — nothing hidden or blurred
  • Investor or founder perspective
  • PDF export
  • Fair-use limit of 5 memos per hour
Analyze a deck

Investor

Coming soon
$99/ month

For angels, family offices and analysts with steady deal flow.

  • 30 memos per month
  • Confidential processing (no AI training)
  • Saved memo history
  • Priority processing
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Deal pack

Coming soon
$49one-time

Occasional use, no subscription.

  • 5 memos
  • Confidential processing (no AI training)
  • Credits never expire
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Security & confidentiality

Your documents, handled transparently.

We never store your documents or memos. During the free beta, analysis runs on Google's Gemini API, so we recommend using your own deck or publicly available decks rather than material under a strict NDA.

Read the privacy policy

Processed in memory, never stored

Your PDF is held in memory only for the seconds it takes to analyze it, then discarded. We do not keep a copy of your document or your memo on our servers.

Transparent AI processing

During the free beta, documents are analyzed by Google's Gemini API under its standard terms, which allow Google to use submitted content to improve its services. Upload only documents you own or are permitted to share.

Encrypted in transit

All traffic between your browser and VexorParse is encrypted with HTTPS. The memo is returned straight to your browser.

Untrusted-document safeguards

The engine treats every document as untrusted data and ignores instructions embedded in files, so a deck cannot manipulate its own assessment.

FAQ

Questions, answered.

Something else? founder@vexorparse.com

Is this investment advice?+

No. VexorParse produces an analytical first read to help you decide where to spend your time. It does not recommend buying or selling any security, and every figure should be verified independently before you make a decision.

How accurate is it?+

The engine is instructed to use only figures that appear in your document, to cite the slide each finding comes from and to label anything missing as "Not disclosed". Like any AI system it can still make mistakes, which is why every claim is referenced so you can check it in seconds.

What documents work best?+

Pitch decks, one-pagers, investment memos, business plans and financial summaries in PDF format, up to 4 MB. Text-based PDFs give the best results; scanned images work but may be less precise.

Do you keep my documents?+

We don't. Files are analyzed in memory and discarded when the request completes, and your memo is returned to your browser without being stored on our servers. During the free beta, the analysis itself runs on Google's Gemini API, whose free-tier terms allow Google to use submitted content to improve its services — so please upload only documents you own or are permitted to share.

Is it really free?+

Yes, during the public beta, with a fair-use limit of 5 memos per hour. Paid plans with fully confidential processing will follow; join the waitlist from the pricing section to get launch pricing.

Can founders use it?+

Yes. Switch to “I'm raising” and the memo is written from an investor's perspective about your own deck: the red flags they will see, the questions they will ask and what to fix first.

How long does an analysis take?+

Usually 30 to 90 seconds, depending on the length and complexity of the document.