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Safety Data Sheet Process Automation

Unlocking the Power of Efficient Key Data Extraction from Safety Data Sheets

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In today’s fast-paced business environment, efficient handling of manufacturers’ Safety Data Sheets (SDS) is crucial for ensuring compliance, mitigating risks, and promoting workplace safety. As companies strive to streamline their operations and improve efficiency, many are turning to advanced solutions like SdbHub for automated key data extraction from Safety Data Sheets. Here are the most relevant aspects why clients select SdbHub as their first choice:

Unlocking the Power of Efficient Key Data Extraction from Safety Data Sheets

Comprehensive Coverage of Key Data Extraction from Sections 1 to 16

To gain an initial understanding, it’s essential that the coverage of key data from the respective sections 1 to 16 of the Safety Data Sheet is comprehensive. While not all data may be required, extensive coverage speaks volumes about the scalability of the solution. If the solution is limited to only a few data fields and extensibility is complex, it suggests that the underlying technology may be basic, such as classical rule-based systems, which are difficult to expand and maintain. Even if all relevant data from the sections cannot be delivered immediately, extensions for numerous data should be easier. If this is not feasible, the system may be less suitable for future adaptations due to regulatory changes. SdbHub covers all sections and is easily extensible.

Deterministic Data Delivery

Conduct extraction on the same set of Safety Data Sheets multiple times at different times of the day, with at least 5 runs. Verify if the results are consistently identical, indicating deterministic behavior. If there are discrepancies in results, it suggests that the underlying algorithms may yield varied results, despite the high probability of using artificial intelligence methods. This inconsistency may pose challenges in providing consistent data within regulatory frameworks such as those established by the EPA. SdbHub is deterministic.

What You See Is What You Get (WYSIWYG)

Ensure that only the data specified in the Safety Data Sheet is delivered by testing with at least 10 Safety Data Sheets from various suppliers with different layout complexities. Deviations indicate that database-driven extraction methods may have been used, lacking a proper understanding of the datasheet. These procedures, especially if not identified as such, should be approached with caution, especially in an enterprise context. SdbHub operates in WYSIWYG mode.

Accurate Pre-trained Machine Learning Models

Verify that good to excellent results are achieved without system customization. While there are limitations to automation and artificial intelligence in SDS data extraction, a well-pretrained model for Safety Data Sheets should deliver usable results out of the box. Training algorithms with sample data for each layout may significantly increase the maintenance effort compared to pre-trained models like those in SdbHub, which can be up to 60% more efficient. SdbHub has highly optimized pre-trained machine learning models, trained with millions of data.

High Level of Automation

Automation in SDS management extends beyond data extraction. Ensure that the solution covers the entire process from procurement to phrase comparison and offers concrete integration possibilities to enhance your important process steps. SdbHub has the highest level of automation regarding the key data extraction from Safety Data Sheets.

Template and Layout Independence

The solution should be independent of document appearance and variations. Test the solution with a dataset representing your SDS landscape to assess explainable deviations. SdbHub is fully independent from look and feel.

Cross-compatibility with EHS Solutions

Ensure seamless integration into your existing EHS software landscape, regardless of whether you have a custom implementation or use standard software like SAP EHS. SdbHub is the most used automation solution across all EHS software vendors.

Non-invasive Usability

Check if the automation solution can be used independently without complex setups. Cloud compatibility should be available, and if on-premises deployment is relevant, assess its feasibility. SdbHub has the easiest possible way ever for receiving results in your desired format. Onboarding time less than 10 seconds. Interested?

Flexible Customization and Expansion

Future changes, expansions, and adjustments to your workflow are inevitable. Assess the solution’s additional modules for adjusting automation to your needs. Inquire about the complexity of expanding for new data and obtain concrete figures. SdbHub is fully customizable, has lots of additional modules for SDS sourcing, version check, quality control, phrase matching, index and search, and many more.

High Level of Innovation

Review the development history and recent extensions to gauge innovation capability. Consider the specialization of the offering company in the field as an indicator of commitment to the solution’s advancement. SdbHub is based on DAtalyxt’s D2EA-Engine, which processes thousands of different types of documents cross-industry daily in real-time.

Continuous Updates

Test the system and review recent updates. If an evaluation period is offered, assess accuracy changes, responsiveness to feedback, and emergence of new modules, ideas, or concepts during that time. SdbHub is updated weekly to give you the best possible result.

Real-time Behavior and Guaranteed Feedback

Ensure the system provides timely feedback. Processing should ideally take seconds to a few minutes per document. Inconsistent behavior in delivering feedback indicates operational inefficiencies. In SdbHub the processing of SDSs takes between a few seconds to half a minute. In settings where additional modules are added, this may vary slightly. But you will always get a guaranteed response.

Request-driven Self-Explaining Machine Learning Models

Given that AI is typically a black box, verify the working process and error handling of the integrated AI in the automation solution. Ensure the system provides information on each dataset’s score, plausibility, verification, validation, and data position in the Safety Data Sheet. Algorithmically detected errors should be logged and communicated.

At Datalyxt, we prioritize Explainable AI (XAI). Therefore, in SdbHub we have implemented different concepts to provide the best possible explanation for each data field.


These aspects, though not exhaustive, represent what our customers consider in their benchmarking and why they choose us.

In conclusion, the reasons for companies using SdbHub for SDS extraction are clear. With its highly available real-time extraction, high-precision extraction capabilities, template and layout agnosticism, continuous updates, and cross-compatibility with EHS solutions, SdbHub offers a compelling solution for efficient and reliable SDS automation solution.

Streamline your Safety Data Sheet Worfklow

Ready to experience the benefits of SdbHub for your company? Contact us today to schedule a demo and see firsthand how SdbHub can revolutionize your SDS automation processes. Unlock the power of automated SDS management with SdbHub!