GetGenAI
GetGenAI reviews packaging artwork, labels and marketing content against regulatory rulesets and your own brand guidelines, flagging every violation and suggesting fixes. It works in the browser, inside design tools, or through a REST API and MCP server.
What is GetGenAI?
GetGenAI is an AI-assisted compliance review platform for packaging artwork, labels and marketing content. Its premise is deliberately narrow: you upload an artwork, and the platform checks it against both regulatory requirements and your own brand rules, flagging every issue it finds and explaining how to fix it.
Four families of checks are advertised. The first covers claims — product claims, mandatory text, allergens and the label language required in each market. The second covers required symbols and warnings: icons, pictograms, warnings, barcodes and legally required statements on packs and labels. The third covers internal rules and layouts, built from the company guidelines you upload, and reaches tone of voice, terminology, colours and page structure. The fourth covers market-specific requirements, meaning country-level differences in wording, symbols and language.
The workflow runs in three steps: pick rules from a library of more than a thousand rulesets, or upload your own master labels and brand guidelines; check the artwork, either by uploading a file or by reviewing in-design; then fix, approve and keep the audit trail. Rules are said to update automatically as requirements change at regulators such as EPA, FDA and EFSA, with the FAQ claiming API connections to more than a hundred regulatory bodies. Every check, change and approval is captured, and published assets can be monitored continuously, live and in archive.
On the marketing side the same engine reviews ads, landing pages, packaging, influencer and partner assets in text, image and video, sizing risk per market and per platform and proposing compliant alternatives.
There are three ways in: the web application, extensions inside design and office tools, and a developer layer made of a REST v1 API with an OpenAPI spec and TypeScript and Python SDKs, a hosted MCP server, and a skills pack for AI assistants. Documented endpoints cover document parsing, inspector suggestion, inspection and aggregation; accepted formats are PDF, DOCX, PNG, JPEG and WebP, up to 25 MB.
Dedicated pages address food and beverage, pharma, cannabis, chemicals, supplements, cosmetics, tobacco and alcohol. The publisher is GetGenAI Inc., based in Los Angeles.
What it does
- Upload an artwork — PDF, design file, PNG, JPEG, WebP or a photographed pack — and get every non-compliance flagged
- Check product claims, mandatory text, allergens and market-specific label language
- Verify required symbols, pictograms, warnings, barcodes and legally required statements
- Turn your own master labels and brand guidelines into custom rules covering tone of voice, terminology, colours and layout
- Compare an artwork against a master label and against an SDS
- Route findings for approval and export an audit trail of what was checked, by whom and why
- Call the REST API, connect the hosted MCP server or install the skills pack to run reviews programmatically
When to use GetGenAI / When not to
A quick filter to help you decide if GetGenAI is the right fit.
When to use GetGenAI
- Packaging and artwork designers who need claims, symbols and layouts checked before a print run
- Regulatory affairs and compliance teams covering food, pharma, supplements, cosmetics, chemicals, tobacco, alcohol or cannabis labels
- QA and packaging quality teams that need a traceable audit trail behind every approval
- Marketing and brand teams reviewing ads, landing pages and influencer assets against brand and platform rules
- Developers and AI builders wiring label review into their own stack through the REST API, the MCP server or the skills pack
When not to use GetGenAI
- Teams looking for a creative generator: GetGenAI reviews existing artwork, it does not produce it
- Single-brand users on a tight budget, since the Starter plan caps at 10 reviews a month and excludes design extensions
- Organisations that need documented data residency, a published subprocessor list or a DPA before signing
- Buyers who require a permanent free tier, as only a seven-day trial is offered
- Mobile-first users, since no iOS or Android application is published
How to use GetGenAI
A typical end-to-end flow, from setup to results.
- Start the seven-day free trial from the site, or sign in at app.getgen.ai; no credit card is required
- Gather the material that defines your rules: master labels, brand guidelines and internal standards
- Upload those documents, which are turned into custom checkers, or pick from the library of 1,000+ rulesets
- Set access levels and permissions so creative, brand and legal teams each see what concerns them
- Upload an artwork, or review it in place inside Adobe Illustrator, Adobe InDesign, Google Docs or Microsoft Office
- Read the flagged issues, each one explained, and apply the suggested fixes
- Approve once every required check passes; each step is recorded in the audit trail
- Export the report, or push results into an existing system such as Jira
- For programmatic use, create an API key in app.getgen.ai under Settings then API keys, and call the /api/v1 endpoints with a bearer token
- For agent use, declare the hosted MCP server at mcp.getgen.ai with the same key in Claude Desktop, Cursor or ChatGPT
Pros & Cons
Pros
- The rulebook is maintained by the vendor and refreshed automatically, which takes the regulatory watch off the customer's plate
- Regulatory, brand, layout and market-specific checks all run in a single pass
- Fits into existing tools — Adobe Illustrator, Adobe InDesign, Google Docs, Microsoft Office, Ziflow, Bynder, Monday, Jira — rather than replacing them
- Native, exportable audit trail, useful when an approval has to be justified after the fact
- Three access routes, including a hosted MCP server that makes the tool callable from an AI assistant
- Figures published by the vendor from its own customer data: 18% lower reprint costs, 27% faster time-to-market, $320k in annual production savings; Catchmaster reports going from five review rounds to one
- Seven-day free trial with no credit card, public entry pricing, and a 20% discount on annual billing
Cons
- No permanent free plan: once the seven-day trial ends, every use is paid
- Steep gap between tiers, $99 a month for Starter against $599 for Pro, with extensions, integrations and audit-ready history starting only at Pro
- Starter is capped at 10 reviews a month, one brand and one geography, web app only
- No hosting country or region is published, no subprocessor list and no DPA
- No documented option to exclude customer data from model training, and no vendor position on the question
- The privacy policy dates from 9 May 2023, is generic and Californian in outlook, and covers the marketing site rather than the application
- No mobile app, no About page, no named team, and several visible typos on the public site
Pricing & Plans
There is no permanent free plan. Access begins with a seven-day free trial that requires no credit card. The cheapest paid tier is then the Starter plan at USD 99 per month on monthly billing, or USD 83 per month when billed annually at USD 999 per year. Qualifying early-stage startups may apply for discounted access starting at USD 15 per month.
- 10 artwork or label reviews per month
- 1 brand
- 1 geography
- master-label and SDS comparison
- web app access only with no extensions
- seven-day free trial.
- everything in Starter
- 50 artwork reviews
- up to 3 brands or geographies
- audit-ready review history
- integrations and extensions
- onboarding and priority support
- seven-day free trial.
- everything in Pro
- unlimited artwork review
- unlimited brands and regions
- custom checks
- advanced reporting
- an optional dedicated environment
- SSO
- enterprise security and an SLA.
- Early-stage startups — from USD 15/month
- granted on application through a form and subject to qualifying as an early-stage startup.
Data, GDPR & hosting
A consolidated view of how GetGenAI handles your data.
GDPR overview
There is no GDPR framework published anywhere on the site. The privacy policy, effective 9 May 2023, never uses the words GDPR, legal basis, controller, processor or international transfer; the rights it grants are Californian, resting on a right to deletion and on the California Electronic Communications Privacy Act. No data protection officer is named, no Article 27 EU representative is designated, no dedicated privacy address exists beyond the general info@getgen.ai, and targeted searches found neither a DPA nor a subprocessor list. The terms state that the service is controlled, operated and administered from GetGenAI's US offices, leaving compliance with local law to the user. A Vanta trust centre exists at trust.getgen.ai but renders only in JavaScript, so no certification could be read. GDPR appears once on the site, among the rules the product checks customer content against: a product capability, not a vendor claim.
Who owns the data?
The privacy policy in force since 9 May 2023 presents GetGenAI Inc. as the company collecting personal data on www.getgen.ai, a site it describes as a product information site. Users supply their name, email address, phone number and job title voluntarily, while IP address, browser type, domain names, access times and referring sites are captured automatically. GetGenAI states it does not sell, rent or lease its customer lists, but may share data with trusted partners for statistics, mailings, support or deliveries, and may disclose it without notice where the law requires. The terms claim all site content for GetGenAI or its suppliers. Nothing published addresses ownership of the artwork customers upload.
Reuse rights
The terms grant a non-exclusive, non-transferable and revocable licence to access and use the site, nothing more. Users may not modify, publish, transmit, reverse-engineer, sell or create derivative works from site content, which is not for resale, and protected material may be used for personal purposes only. On its own side, GetGenAI uses personal data to operate and deliver the service, to bill and collect, to send account notices, to promote its own products and those of its affiliates, and to personalise content and advertising through behavioural tracking. Marketing emails can be stopped by writing to info@getgen.ai. The integrations FAQ states that the platform analyses the submitted content itself, meaning text, images and layouts, and never sensitive business data; the MCP documentation adds that uploaded bytes travel from the user's machine to GetGenAI storage without passing through the model's context. No published clause covers reuse of customer artwork or model training.
Data retention & training
Hosting summary
No hosting location is published. The privacy policy contains a single line on the subject, under External Data Storage Sites, saying data may be stored on servers provided by contracted third-party hosting vendors; no vendor, country or region is named. The terms state only that the service is controlled, operated and administered from GetGenAI's US offices, and the company is registered at 561 Brooks Ave., Los Angeles, California. That is a jurisdiction of operation, not a data residency commitment, and should not be read as one. On the observable side, the domain resolves to 198.202.211.1, announced by Cloudflare in anycast, which is a delivery network rather than a storage location. The MCP documentation adds that uploaded files travel from the user's machine to a short-lived upload URL on app.getgen.ai and then to storage, without passing through the model's context. No region option and no residency guarantee is offered anywhere on the site, so buyers with a residency requirement will need to raise it directly with the vendor.
Things to keep in mind
Risks and trade-offs to weigh before adopting GetGenAI.
- The vendor does not guarantee accuracy and recommends human oversight for high-stakes content; final regulatory responsibility stays with you, and a review that flags nothing is not a certificate
- Repeated one-click approval can erode the habit of reading a label carefully: the audit trail records who approved, not who understood
- The privacy policy covers the marketing site, which it calls a product information site, and says nothing about the fate of artwork uploaded into the application
- No published position on whether customer content is used to train models, and no documented opt-out
- No hosting location, subprocessor list, DPA or Article 27 EU representative is published, and the trust centre content could not be read
- The terms impose AAA arbitration, waive class actions, place jurisdiction in California, and let GetGenAI terminate access at any time without notice
- Performance figures of 18%, 27%, $320k and $15,000 a month are vendor claims drawn from its own customer data, with no independent study; the two legal documents also give different age thresholds, 13 in the privacy policy and 18 in the terms
Setup & Integrations
Technical difficulty
Low for everyday use. The web app needs no technical skill, the trial runs seven days without a credit card, and setup and first use are advertised at five minutes. Integrations connect through OAuth or an API key, and most teams wire one up in under an hour. The real preparation is editorial: gathering master labels and brand guidelines so the checks are meaningful, and setting role-based permissions. Deeper work is optional, since the REST API needs backend skills while the hosted MCP server only needs a key. A full rollout takes two to five weeks.
Deployment
Integrations
Behind GetGenAI
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What file formats can GetGenAI review?
Can we upload our own brand guidelines as rules?
How does the tool keep up with regulatory changes?
Does it work with the tools we already use?
How long does setup take?
Is there a free plan?
Where is the data hosted?
Can we rely on the results without human review?
Should you pick GetGenAI?
GetGenAI occupies a narrow, well-defined position: compliance review of artwork and content in regulated industries. Its strongest argument is that the rulebook is not yours to maintain — more than a thousand inspectors are kept current by the vendor against regulators such as EPA, FDA and EFSA — and that every decision leaves an exportable audit trail. Its second strength is reach: the same engine is available in a browser, inside Adobe and Office tools, through a REST API, and through a hosted MCP server that lets an AI assistant run a review directly, which is still unusual in this segment.
The reservations are of a different nature, and they concern transparency rather than capability. The privacy policy dates from May 2023, is written in generic Californian terms, and explicitly describes the site as a product information site — it says nothing about what happens to the artwork a customer uploads. No hosting country is published, no subprocessor list, no DPA, and no position on whether customer data feeds model training. A Vanta trust centre exists but renders only in JavaScript, so nothing in it could be verified. Commercially, the jump from Starter at $99 a month to Pro at $599 is steep, and the features most teams will want — extensions, integrations, audit-ready history — start at Pro.
The vendor is candid on the point that matters most: it does not claim perfect accuracy and recommends human oversight for high-stakes content. Read that as the correct framing. GetGenAI suits CPG brands and packaging, regulatory, QA and marketing teams who want to compress review rounds and document them. Before committing, ask for the trust centre contents, a DPA, hosting details and a written position on model training.
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