SdbHub CORE
Chemical intelligence at the core. The foundational technology for reliable, validated, and auditable data in hazardous materials management.
Advantages of Automated Data Extraction with SdbHub CORE
Current Challenges in Processing Safety Data Sheets
- Inconsistent Formats – Different layouts and structures make automated processing difficult and increase manual effort.
- Countless Exceptions – Variations in supplier SDSs make processes error-prone and costly.
- Insufficient Solutions – In-house or third-party systems require constant extensions, remain unstable, and deliver unreliable results.
- Internal Interfaces – The involvement of multiple departments leads to media breaks, information loss, and delays.
Business Impacts of Inefficient SDS Processing
- Risk to Occupational Safety and Compliance – Incorrect or incomplete data pose risks to employee safety, material compliance, and audit readiness.
- Information Loss and Process Delays – System gaps and lack of integration hinder fast and reliable workflows.
- High Manual Effort – Skilled professionals spend excessive time on data entry and maintenance instead of focusing on value-adding tasks.
- Inefficient Processes and Rising Costs – Exceptions and inadequate systems make operations costly and unstable.
How SdbHub CORE Creates the Foundation for a Reliable SDS Data
- Intelligent Document Analysis – Automated detection and processing of all SDS sections (1–16), regardless of layout, language, or format.
- Multi-Level Validation and Quality Assurance – Extensive quality checks – including exception handling, cross-validation, and rule-based verification – ensure data consistency and completeness.
- Structured Data Generation – All hazardous substance and dangerous goods data are standardized, machine-readable, and fully available.
- Risk & Plausibility Checks – Automated verification of SVHC and CMR substances, as well as plausibility checks for classifications, storage classes, and transport data, provide additional safety and reliability.
- Seamless Integration – Validated data are made available through standardized interfaces for target systems such as EHS, PIM, or PLM.
Frequently Asked Questions
What makes SdbHub CORE different from traditional OCR or parsing solutions?
OCR only recognizes characters – SdbHub CORE understands the full structural content of all 16 SDS sections and additionally checks for consistency and plausibility.
How does SdbHub CORE handle exceptions and special cases?
Deviations are automatically detected, flagged, and can be improved through targeted optimizations or feedback loops.
What kind of quality assurance is built in?
In addition to formal validation, outlier detection, cross-validation, and proven rule-based procedures are applied to systematically identify deviations and document them transparently.
How flexible is the integration into existing IT environments?
Data are provided in a standardized format and seamlessly integrated into SAP, EHS, or PIM systems – as well as Data Lakes – via defined interfaces.