We use cookies to understand site performance and improve follow-up from our team.

    Definition

    What is Worldover ?

    A plain definition of Worldover: what it is, who runs on it, what it replaces, and how it differs from an ERP with an AI feature bolted on.

    Last reviewed by the Worldover regulatory team.

    Quick answer

    Worldover is the AI operating system for chemicals and cosmetics companies. It replaces ERP, PLM, QMS, LIMS and regulatory tools with a single substance-aware system, custom-built around the way each team works, with an AI colleague called Willow operating inside the data rather than beside it.

    See the platform
    • One system in place of ERP, PLM, QMS, LIMS and regulatory point tools
    • Built on a substance and formulation data model, not a generic item master
    • Willow, an AI colleague that reads, drafts and acts inside your live operational data
    • Used by cosmetics and chemicals brands, manufacturers, ingredient suppliers and distributors

    How this connects to Worldover

    Replacing five subscriptions with one system you actually run the business on?

    Worldover is the AI operating system for chemicals, cosmetics and supplement businesses. One platform, one data model, custom-built around each team.

    See how Worldover works

    The one-line definition

    Worldover™ is the AI operating system for chemicals and cosmetics companies. It is a single platform that runs formulation, manufacturing, quality, regulatory and commercial work on one data model, with AI operating inside that data rather than sitting on top of it as a chat box.

    Worldover Ltd is a London-based software company. The product is used by brands, contract manufacturers, ingredient suppliers and distributors working in cosmetics, specialty chemicals, food and supplements.

    What Worldover replaces

    Most companies in these sectors run four or five disconnected systems: an ERP for orders and stock, a PLM or formulation tool for recipes, a QMS for deviations and CAPAs, a LIMS for testing, and a regulatory tool (or a folder of spreadsheets) for dossiers, SDS and labels. Each holds a partial copy of the same substance, and none of them agrees.

    Worldover collapses those into one system. That is why a cosmetics ERP, a chemical ERP, a QMS and an SDS authoring tool are all descriptions of the same underlying platform rather than separate products with separate databases.

    The four layers

    The data layer. Substances, formulations, suppliers, batches and documents held in one substance-aware model. INCI names, CAS numbers, hazard classifications, allergens and regulatory statuses are first-class fields, not custom attributes bolted onto an item record.

    The regulatory layer. Live rule sets for the regimes these companies actually face: MoCRA, EU CPNP, PPWR, REACH, CLP, TSCA and ISO 22716. Rules are attached to substances, so a change propagates to every product that contains them.

    The operations layer. Purchasing, production, stock, batch records, testing, deviations, CAPAs and customer orders, all reading the same records the regulatory layer reads.

    The AI layer. Willow, an AI colleague with read and write access to that whole stack. Willow answers questions with reference to your live records, drafts dossiers and SDS, flags substance risks before they become recalls, and takes routine actions under human approval.

    Who runs on Worldover

    Cosmetics and personal care brands, contract manufacturers, specialty chemical producers, ingredient suppliers and distributors. The common shape is a company whose product is a formulation, whose obligations attach to substances, and whose current systems were built for discrete parts rather than chemistry.

    See how that differs by role on the customers by business type pages, or read a live example in the ICONIC London and Presperse case studies.

    How Worldover differs from an ERP with AI added

    Incumbent ERPs were designed around a generic item master and later had a chat assistant added. The assistant can summarise a screen, but it cannot reason about a substance because the system never modelled one. Worldover starts from the substance, so the AI has something meaningful to reason over.

    The practical differences are set out against named systems in Worldover vs SAP, Worldover vs NetSuite, Worldover vs generic CRMs and the rest of the comparison library.

    FAQs

    Common questions.

    See Worldover on your operation.

    A 20-minute working session. Your SKUs, your customers, your documentation. No slide deck.