EvolutionaryData Management

QRecs creates a central, transparent, reliable, and always-available data pool - the foundation for digital progress and for any successful use of AI.

We do not replace spreadsheets, ERP or PLM systems, supplier files, or shop platforms. We connect them in a practical way.

QRecs establishes a true Single Source of Truth and makes it easy for internal and external users and applications to use data or share it confidently.

• Consistent data definitions and reliably verified, up-to-date data across applications, departments, and company boundaries.
• Central compliance and central audits for data quality, access, processing, and workflows.
• Clear responsibilities and transparency around data inventory, data quality, access, and collaboration with partners.
• Ontologies and semantics do more than improve interpretation - they guide data maintenance, access, processes, and audits, while making automation and BI and AI usage far more practical.

AI-supported analysis and applications can only be truly useful and reliable when data is consistent, complete, and interpretable.

Without meaning, relationships, context, timelines, history, origin, status, rules, and responsibilities, data is not fully usable even for people.

AI has no human intuition, no real understanding, and no safe way to fill knowledge gaps on its own - and that can easily lead to misinterpretation.

A simple principle applies here: if people cannot interpret data in the right context, AI cannot do it well either.

And if your team can interpret it, then those meanings, relationships, and contexts need to be made available to AI as well - that is exactly where QRecs helps.

• Ontologies define relationships between things, while semantics give those things meaning, rules, and context.
• Topologies and taxonomies create standardized spaces of meaning, hierarchical order, and context, and they make it possible to derive context through inheritance, similarity, and structure.
• Metadata adds further context, including chronological context, and creates a clear history for the data itself.
• Compliance defines the guardrails for quality, access, and usage, and adds further context frameworks.
• RACI makes responsibilities clear, transparent, and auditable.
• Quality criteria and quality checks create transparency in the data pool. This makes data management more realistic, more manageable, and more useful as a decision factor in automated processes.

QRecs is not a narrow specialist application. It is a cross-application and cross-company data management platform with unusually deep capabilities for complex product and product-data management.

QRecs also integrates applications that actively use the data - including DNP, asset management, digital processes, and more.

• QRecs makes data available and transparent.
• QRecs creates consistent data across the company and throughout global partner networks.
• QRecs creates a Single Source of Truth for your data and helps make your information ready for BI and AI.
• QRecs builds a typed, adaptable, and auditable data pool for heterogeneous data environments.
• QRecs classifies and structures the data.
• QRecs defines meanings, relationships, contexts, and more for the data.
• QRecs defines the rules for data maintenance, access, and processing - and helps ensure they are followed.
• QRecs defines responsibilities for data maintenance, access, and processing - and helps ensure those responsibilities are clear and reliable.
• QRecs creates transparency around data quality by defining criteria, applying them, and supporting ongoing compliance.
• QRecs provides a central self-service API for data delivery and data usage, both internally and globally.
• QRecs provides interfaces and transformations to integrate systems or processes and to share data effectively.
• QRecs stores and manages product-related documents and media files.

Manufacturers are a natural fit, because that is where product-related data begins.

Distributors with extensive catalogs, especially those handling complex technical products, also benefit greatly from centralized data maintenance and delivery.

Industrial service providers and engineering firms with large projects or service-based solutions can create a data foundation that sets them apart by bringing suppliers and customers into a shared, cooperative model for maintaining and delivering data, information, and project outcomes.

• Complex products with many variants and extensive technical specifications.
• Customers across different industries, markets, or global regions.
• Requirements for, or certifications under, different standards and market conditions.

QRecs follows an API-first approach with event-driven updates.

• Imports data from ERP, PLM, CRM, and supplier systems, or receives it through pull and push strategies.
• Publishes enriched data as digital nameplates, product information pages, shop and marketplace catalogs, and data foundations for service or engineering tools - both internally and globally.
• Uses webhooks to trigger automation when product statuses change.
• Supports parallel, step-by-step data maintenance and delivery. Your data base and your ability to act can grow steadily with your plans and ambitions, while you keep full visibility and control throughout the process.