GetGenAI (Packaging Compliance Review)

About GetGenAI (Packaging Compliance Review)

GetGenAI provides packaging and label compliance review for regulated product categories including food and beverage, pharma, cannabis, chemicals, supplements, cosmetics, tobacco, and alcohol. The platform accepts label artwork in formats such as press-ready PDFs, AI files, PNGs, photographed packaging, or structured JSON, then parses panels including the front panel, Supplement Facts, claims, ingredients, and warnings. It checks content against label rules such as FDA Supplement Facts formatting, DSHEA disclaimers, structure/function versus disease claims, allergen warnings, net quantity, and serving size, using versioned rulesets that update weekly.

The service is built around an Extract, Review, and Feedback pipeline: artwork is parsed into panels and elements, relevant rules are applied (either platform-recommended or user-specified), and findings are aggregated into reports grouped by panel, severity, or inspector, exportable as PDF or JSON. It can also be fed into design tools or Jira. Beyond label review, the platform is described as reviewing digital ads, landing pages, packaging, influencer content, and partner collateral in text, image, and video formats, and can be customized with company-specific guidelines and brand standards.

GetGenAI offers three ways to integrate: a REST API with OpenAPI spec and TypeScript/Python SDKs, rate-limited per workspace and audit-logged by default; an MCP server exposing a typed toolset (parse labels, suggest inspectors, run reviews, aggregate findings) for use with MCP-compatible agent clients such as Claude and Cursor; and a skills pack providing reusable review workflows, including instructions and examples for supplement label checks. It integrates with Google Docs, Jira, Microsoft Word, and CMS platforms. The product is aimed at CPG startups, design and compliance teams, and legal teams working on regulated product packaging and marketing content.

Key features

• Parses label artwork (PDF, AI files, PNGs, photos, or structured JSON) into panels and elements
• Runs compliance checks like FDA Supplement Facts format, DSHEA disclaimers, and structure/function claims
• REST API with TypeScript and Python SDKs, rate-limited and audit-logged per workspace
• MCP server exposing typed tools for agent stacks like Claude and Cursor
• Composable Extract, Review, and Feedback pipeline exportable as PDF, JSON, or into design tools and Jira
• Versioned rulesets auto-update weekly to stay current with regulations

Frequently asked questions