A Unified System for Enterprise Product Compliance

Reglyr supports food and beverage, physical consumer goods (including toys, electronics, textiles, and home goods), and cosmetics and personal care products. All three product verticals share the same underlying regulatory knowledge graph and compliance engine, meaning an enterprise with a mixed product portfolio can manage compliance across every category from a single platform rather than maintaining separate tools for each product domain.

Reglyr's knowledge graph spans food safety regulations including FDA, EFSA, FSANZ, and SFA; product safety regulations including GPSR, CE Directives, REACH, and EN standards; cross-cutting regulations covering packaging, EPR, ESPR, and Digital Product Passport requirements; and retailer-specific specifications from Walmart, Amazon, and Carrefour. Coverage spans multiple geographies simultaneously.

Yes. Reglyr auto-generates Declarations of Conformity, technical files, and risk assessments per product and per market. Each generated document is tied to the underlying regulatory source and compliance data, creating a complete audit trail. For physical goods, this includes structured risk matrices and the full technical file required for CE marking and GPSR obligations.

Reglyr continuously monitors regulatory changes across all domains it covers. When a regulation changes, the platform automatically identifies which products in your portfolio are affected and flags them for review. This means your compliance team does not need to manually track regulatory updates across dozens of markets — the system propagates changes and surfaces affected SKUs proactively.

Yes. Reglyr operates a regulatory consultancy practice that uses the platform as its delivery engine. For enterprise accounts, this means compliance reviews, market entry assessments, and regulatory strategy are available alongside software access. The consultancy engagement also feeds real-world regulatory interpretations back into the knowledge graph, making the platform more accurate over time.