AdVeritas Vault

Compliance archive and audit-ready disclosure layer for regulated marketers (finance, insurance, pharma) producing AI-generated video ads, with timestamped versions, required disclosures, and approval sign-offs for FTC/FINRA audits. · regulatory compliance software

DEAD SLOW · CAUTIOUS

6.6 ShipScore / 10

Strongest: real compliance WTP; weakest: no tracked evidence, entrenched MLR incumbents.

Condition: Three regulated marketers (finance/insurance/pharma) must confirm AI-video ads bypass their existing MLR/archive tooling and pre-pay for a pilot.

Part I — The Verdict what the instruments read

01 — The ShipScore breakdown

Control

C7 — direct B2B SaaS, no single gatekeeper; swappable cloud/model vendors.

Entry barriers

E5 — no tracked leader in corpus, but Veeva/Smarsh own adjacent MLR archiving.

Need

N7 — established paid category (MLR review, FINRA archiving); zero corpus signal though.

Time-freedom

T7 — productized, but enterprise compliance drags implementation and audit support.

Scale

S7 — global regulated marketers, high ACV; jurisdiction-specific rules cap breadth.

What the five commandments measure

C — Control	Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry	How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need	Is demand proven with money rather than vibes?
T — Time	Can income detach from your hours, or did you buy yourself a job?
S — Scale	How far does it reach without linear cost?

Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.

02 — The pace test — $1M/yr

At $1200/mo (assumed category price), you need 70 subscribers for a $1M/yr pace.

No tracked rivals with verified revenue to benchmark against.

Part II — The Evidence the receipts, good and bad

03 — Rival scan

No similar products found in the radar corpus — either genuinely novel, or too small to track.

Veeva Vault PromoMats (general market knowledge, not in corpus) — Owns pharma MLR review and approval workflows; can add AI-video handling free.
Smarsh / Global Relay class archiving vendors (general knowledge) — Already sell FINRA-grade retention; ad-video archiving is a feature extension for them.
No tracked rivals in corpus — Absence of tracked competitors also means no verified revenue proving this wedge.

04 — Demand evidence

Corpus evidence is empty: no radar products, no funded companies, no Reddit threads, X probe unavailable — demand for this specific wedge is unproven.
Category-level support is general market knowledge only: regulated firms already pay for MLR review and FINRA/SEC recordkeeping archives.
No pricing, churn, or MRR datapoint exists here to size willingness-to-pay for an AI-video-specific layer.
Zero complaint volume observed, so the pain of archiving AI-generated ad creatives is unquantified.

05 — Risks

Incumbent MLR/archiving suites bolt on AI-creative versioning and erase the wedge overnight.
Enterprise compliance buyers demand SOC2, legal review, and 6-12 month sales cycles before first dollar.
AI-generated video ad volume in regulated verticals may still be too small to justify a dedicated tool.
Regulatory requirements differ by FTC vs FINRA vs FDA, fragmenting the product into three roadmaps.

06 — Kill switches — what kills this with one decision

FINRA/SEC or FDA guidance that AI-generated creatives fall under existing archives — Buyers simply extend current Smarsh/Veeva retention instead of purchasing a new layer.
Veeva or a major archiving vendor shipping AI-creative version tracking — Wedge becomes a checkbox in a tool compliance teams already own.
Compliance/legal veto on AI-generated video ads in regulated verticals — The upstream market you archive for never scales, removing the buyer entirely.

Part III — The Plan if you insist on proceeding

07 — What this scan can't tell you

Cannot tell how many regulated marketers actually ship AI-generated video ads today.
Cannot verify whether existing MLR/archive suites already cover video versioning adequately.
No data on realistic ACV, sales cycle length, or procurement gatekeeping in these verticals.

Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-08-21.

08 — The wedge & the next step

Own the narrow, unclaimed artifact: immutable provenance trail for AI-generated creatives — model, prompt, version, disclosure overlay, approver — exportable as an examiner-ready packet.

Cheapest next step: Cold-email 15 compliance officers at RIAs, insurance brokerages, and pharma agencies; ask how they currently archive AI-made ad creatives and whether a paid pilot interests them.

Not quite it? Spin the model

Business-model variations of this idea, engineered to beat 6.6 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.

One evidence-backed gap a day, free

Close — but conditional. Every morning the engine files one mined gap, scored on the same harsh scale as this one. Free at 7am AEST, unedited.

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Monitor this idea

Weekly re-scan against the live corpus. If the market moves this ShipScore by a point, or flips the verdict, you hear about it. Free while we're small.