Product Organizer

The challenge today

Most material data lives in formats no system can read

Material manufacturers, compounders, and Tier-1/-2 suppliers accumulate years of technical data sheets, certificates, sampling reports, and customer-specific files. The data exists — but it lives in PDFs from past projects, Excel templates inherited across decades, proprietary database exports, and individual employees' folders. Different customers ask for the same information in different formats. New colleagues spend weeks discovering what already exists. Compliance reporting becomes a recurring excavation rather than a routine task. And when an experienced material engineer retires, the institutional knowledge of how to interpret legacy compounds often walks out with them.
The data is there. It just cannot work for you.

Bring legacy data into structure

Bring legacy data into structure — upload PDF data sheets, Excel templates, and proprietary database exports

Detect and classify automatically

Detect and classify automatically — AI-based text and structural analysis identifies testing requirements, parameters, and results within your documents

Assign TestIDs retrospectively

Assign TestIDs retrospectively — historical data receives the same unambiguous identifiers as new data, validated by domain experts

Maintain a single, structured master record

Maintain a single, structured master record for every material in your portfolio — version-controlled and queryable

Collaborate with role-based access

Collaborate with role-based access — material engineering, sales, and quality work on the same data with the right permissions

Preserve institutional knowledge

Preserve institutional knowledge — naming conventions, abbreviations, and tacit interpretations get captured in structure, not in people's heads

Feed structured data into downstream services

Feed structured data into downstream services — Material Sampling & Part Release Manager, Marketing & Sales Assistant, and your own integration scenarios

A hybrid approach to legacy data conversion

Purely manual conversion of historical material data is prohibitively expensive at scale. Purely automated conversion lacks the domain reliability that quality-critical environments demand. The result: even extensive, heterogeneous legacy archives can be transformed into a structured, standardised data basis with reliability sufficient for quality-critical use — at a fraction of the cost of fully manual conversion.

A consistent, queryable material record

Every material in the Organizer follows the same structured shape — properties, test results, references to standards and specifications, customer approval status, version history. Where a property was measured against a defined TestID, that reference is preserved. Where data originated in a legacy PDF, the source is linked. The record is queryable, comparable, and exportable — not a flattened summary, but the underlying data, ready for use.

The master-data foundation for your supply chain digitalisation

The Product Organizer is the data layer the rest of the platform builds on. The Material Sampling & Part Release Manager pulls structured material profiles into its sampling and ISIR workflows. The Marketing & Sales Assistant draws on the same data to surface accurate information to potential customers. Future integrations with your CAQ, PLM, or ERP systems start from clean, structured records — not a forensic data cleanup project.

For material engineering, R&D, and data stewardship

Legacy documents become queryable data, not archive material; the question "which version of this data sheet is current?" stops arising; new colleagues become productive in days, not months; tacit interpretations are captured in structure rather than in individual heads.

For sales and product management

Sales conversations run on the same accurate, current data your customers receive; approved-for-customer status is visible in one place; outdated PDFs disappear from your outbound materials.

For executive management

Institutional knowledge is preserved and transferable; key-person risk drops as senior engineers can hand over to structure rather than to successors; downstream digitalisation initiatives — supplier portals, automated reporting, PLM connectivity — start from a clean foundation rather than a cleanup project.