Ship compliant content in minutes, not weeks.
ZebraTruth is the real-time compliance layer for AI content. It checks every ad — video, image, and text — against the new AI-disclosure laws, advertising law, platform policy, and your brand standards, then cites the rule, recommends the fix, and leaves an audit trail.
Built for regulated brands — pharma, healthcare, financial services, and food & beverage.
Compliance check
pharma-launch-30s.mp4
AI-generated ad is missing a required disclosure
NY AI Disclosure Law · Critical
Synthetic media needs a label & embedded marker
C2PA · EU AI Act Art. 50 · High
“Clinically proven” needs substantiation
FTC Act §5 · Critical
Tone & logo usage on-brand
Brand policy · Pass
Trusted by teams in media, publishing, financial services, and sports
AI made content unlimited. It made compliance impossible.
Your team ships more creative than any review committee can clear — and the rules are multiplying. AI-disclosure laws now land state by state: New York just made AI ad labeling official, with more states close behind, while C2PA provenance and embedded markers become compulsory. Every asset still has to pass all of it — advertising law, platform policy, rights, and your own brand standards — checked by hand, market by market. The result: campaigns stall for weeks, and the work that slips through risks takedowns and fines.
Weeks
to clear one asset through manual review today
Brand & legal teams
70%
of GenAI content is rejected by platforms for non-compliance
Google, TikTok 2025
State by state
new AI-disclosure laws landing across the US — no single federal standard
NY AI ad-disclosure law, 2026
7%
of global revenue — maximum fine under the EU AI Act
EU AI Act
One automated layer clears every asset, for every market.
ZebraTruth checks your content in real time against the new AI-disclosure laws, advertising law, platform policy, rights and trademark, the rules of each market you select — US (state by state), EU, UK, India, China — plus your own brand standards.
Checks everything
Video, image, and text — broken into frames, audio, and captions — run against 28 compliance categories, including AI-disclosure laws, AI labeling, C2PA and embedded markers, across every market you select.
Cites the rule
Every flag returns a scored, color-coded result that names the exact law or policy, with a plain-English explanation.
Recommends a fix
A clear next step on each flag — so your team can resolve it and ship, without waiting on a legal queue.
Proves it
A full, immutable audit trail for every check, available on demand — defensible the moment a regulator asks.
90% faster reviews. 13X lower cost of non-compliance.
On a $1M GenAI ad budget, rejections, demotions, legal risk, and audit overhead add up fast. ZebraTruth takes that from roughly $870K of exposure to about $66K — while cutting review time from days to under an hour.
90%
faster turnaround
13X
lower cost of non-compliance
| Manual review | ZebraTruth | |
|---|---|---|
| Turnaround per asset | Days to weeks | Under an hour |
| Rule citation | Inconsistent | Exact law named |
| Coverage by market | Hard to staff | US · EU · UK · India · China |
| Audit trail | Scarce | Immutable, on demand |
| Scales with volume | No | Yes |
Embedded in your workflow — compliant before content is even finished.
ZebraTruth’s agents sit inside your creation pipeline and check every asset in real time as it’s generated — so compliance is resolved during creation, not in a review queue after the fact. Drop them in agent-to-agent with one API call or a markdown file, or run checks from the dashboard.
Embed the agents
ZebraTruth’s compliance agents plug straight into your content-creation workflow — agent-to-agent via one API call or a single markdown file, or from the dashboard.
They check as content is created
As each frame, image, and line is generated, the agents check it in real time against the markets, platforms, rights, AI laws, and brand rules you configure — no review queue, no waiting on legal.
Compliant before it’s finished
Issues are flagged and fixed during creation, so the asset is verified compliant before it ever ships — with a score, cited flags, applied fixes, and an audit trail for defensibility.
28 compliance categories, and growing.
From the fast-moving AI-disclosure laws to health claims to deepfake impersonation to platform policy — the canonical rules of advertising plus the new AI rules, encoded and kept current.
AI Law & Synthetic Media
AI-disclosure law (state by state), AI labeling, C2PA provenance, embedded marker / watermark missing, deepfake impersonation
Endorsement & Authority
celebrity endorsement, expert authority, fabricated testimonial, material-connection disclosure
Claims
unsubstantiated health claim, medical-efficacy claim, safety claim, performance claim, comparative advertising
IP & Rights
right of publicity, trademark infringement, copyright infringement, music licensing
Format & Transparency
disguised advertising, sponsored-content labeling, consumer-information disclosure
Manipulation
scarcity / urgency, aggressive practice, algorithmic amplification
Audience
minor targeting, vulnerable audience
Platform & Other
platform-policy violation, data privacy, jurisdiction coverage gap, and more
Plus your own internal brand standards and company policies — checked alongside every regulation.
Built for marketing in the most regulated industries.
Where one non-compliant claim can mean a takedown, a fine, or a headline — ZebraTruth lets your team move fast and stay defensible.
Pharma
Fair-balance, off-label, and efficacy claims checked against FDA / FTC and EMA rules before a single asset ships.
Healthcare
Health claims, testimonials, and patient-privacy disclosures validated so marketing never outpaces medical-legal review.
Financial services
Disclosures, risk language, and performance claims cleared against SEC / FINRA and FCA expectations, with an audit trail.
Food & beverage
Health, nutrition, and comparative claims checked against FTC / FDA and EU labelling rules across every market.
And it makes Compliance, Legal, and GC teams faster too.
ZebraTruth doesn’t replace your reviewers — it gives them leverage. Every check is surfaced, scored, and cited to the rule, so compliance officers and counsel spend their time on real judgment calls instead of chasing assets and re-reading the same policies.
Every flag, surfaced in one place
Compliance, legal, and GC teams see every check in a single view — scored, categorized, and cited to the exact rule — instead of chasing assets across email threads and shared drives.
A recommended fix, not legal advice
Each flag comes with a clear next step to resolve it. ZebraTruth recommends the action — it doesn’t give legal advice. Your team always decides what to do.
More throughput, less queue
Routine, low-risk checks clear automatically, so reviewers spend their time on the judgment calls that genuinely need a human — and campaigns stop waiting weeks on a backlog.
Defensible by default
Every decision leaves an immutable, timestamped audit trail with its rule citation — ready the moment a regulator, platform, or internal auditor asks.
Why not just ask an LLM? Because LLMs were not built for compliance.
ZebraTruth is purpose-built: compliance AI agents encode canonical laws and policies, and compliance engineers encode the unwritten knowledge behind them — getting sharper with every check.
Compliance is unwritten knowledge
Interpretation, enforcement cases, and internal policy aren't on the open web — so general LLMs invent citations, misstate thresholds, and apply outdated rules.
Defensible, not just an answer
Regulators need immutable records, citations, and reviewer sign-off. A chat log isn't a compliance artifact. ZebraTruth produces a signed audit trail.
Current the moment a rule moves
FTC, EU, ASA, DSA, and platform policies change weekly. Our legal engine ingests changes in real time — no waiting on a model retrain.
Built by operators from regulated markets.
Compliance, AI policy, and go-to-market leaders who have built and scaled in the most regulated industries in the world.
Fahd Rachidy
Founder & CEO
Repeat founder with two AI exits in regulated markets. Co-founded Scientific Beta, from 0 to acquisition by SGX for $200M+. Clients included Morgan Stanley, BlackRock, CalPERS, Fidelity, Amundi, and HSBC.
Connect on LinkedIn
Al Lavassani
AI Policy
Chief Privacy Officer (UC Office), VP AI Governance & GRC. Previously Meta, SoFi, VISA, and Wells Fargo.
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Jennifer Lada
AI Compliance & Legal Corpus
Partner at Holland & Knight LLP. Regulatory and compliance corpus, plus AI-agent supervisory frameworks.
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Dianne Weiss
Strategy
25+ years driving product innovation and strategic transformations at Intuit, Apple, HP, Oracle, and Sun Microsystems.
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Thomas Neubert
Sales
Previously VP/GM Sales at Intel Corporation and Deutsche Telekom.
Connect on LinkedInSee your own content scored in a 45-minute working session.
We scope a proof-of-concept slice together, stand it up in about a week, and read out results at the close of a short run. Enterprise, scoped to your volume.