The passport surface is not the hard part.
A public product page can look finished while the evidence behind it is incomplete, unverifiable, or trapped in supplier spreadsheets.
Digital Product Passports will only be credible if the claims behind them can be requested, reviewed, traced, versioned, and explained. Redy is building that operating layer for manufacturers and suppliers.
Manufacturers pay for governed readiness, approval, publication, and integration workflows. Suppliers should be able to answer without buying another portal.
Redy is not trying to win by making another static passport page. The bet is that DPP teams need an operating workflow for the messy evidence behind each claim.
A public product page can look finished while the evidence behind it is incomplete, unverifiable, or trapped in supplier spreadsheets.
Manufacturers can request supplier evidence, suppliers can respond with reusable records, and approved claims keep source context attached.
As product groups and standards mature, the operating pattern stays stable: request evidence, approve claims, preserve provenance, publish versions.
A credible DPP starts with source evidence, not with the final page template.
Supplier response should be easy, scoped, and free so manufacturers can get accurate data from the companies that hold it.
AI can accelerate extraction, but publication needs explicit review state, source context, and accountable decisions.
Redy is built around ESPR-aware schemas, resolver patterns, APIs, exports, and provenance that can move with the market.
The core product surface is the evidence workflow: what is missing, who owns it, what was submitted, who approved it, and which passport version uses it.
Explore featuresMissing fields become supplier requests, supplier responses become reviewable claims, and approvals become publishable records.
Approved values keep evidence, actor, timestamp, grant, version, and source-document context attached.
DPP records can feed passport pages, APIs, webhooks, exports, QR flows, and resolver-ready implementations.
DPP requirements will land in waves. Redy is built so the request, review, provenance, and publication workflow remains useful as categories and schemas mature.
Help teams understand which product records are missing supplier-held evidence before launch pressure becomes project chaos.
Make it practical for suppliers to submit once, review extracted values, attach source documents, and reuse approved evidence.
Move approved claims into versioned DPP outputs while preserving provenance, access controls, and integration hooks.
Support batteries, textiles, and future ESPR product groups through the same evidence workflow as schemas mature.
No. Consumer views may be an output after publication, but Redy is now focused on the manufacturer and supplier workflow required to create trustworthy DPP data.
No. Batteries are an urgent early category, but the platform is designed around a schema-flexible evidence workflow for multiple DPP domains.
Redy focuses on the work behind the page: missing fields, supplier requests, source evidence, AI-assisted extraction, human approval, audit trail, and versioned publication.
Manufacturers preparing DPP programs, suppliers getting repeated data requests, and teams responsible for product data, compliance, sourcing, or integration architecture.
Start with product groups, supplier-held fields, approval owners, integrations, and launch scope.