AI Solutions for Chemical Data Management: From Static SDS to Enterprise Intelligence

For organizations that manufacture, blend, or formulate chemical products, maintaining accurate SDS documentation is both technically complex and highly regulated. Chemius helps organizations digitize and author SDSs using AI-assisted workflows that extract, structure, and validate chemical information from existing documentation. These digital product records support SDS generation, multilingual documentation, labeling, safety instructions, and secure information sharing across customers, suppliers, and internal teams.

Once authored or updated in Chemius, SDS information can be brought into Benchmark Gensuite's SDS Management to support enterprise-wide validation, approvals, reporting, and broader EHS processes.

Accurate downstream reporting depends on accurate upstream data. Benchmark Gensuite uses Genny AI to assist with SDS ingestion — extracting key information such as manufacturer details, product names, revision dates, and constituent data while identifying potential duplicates before records enter the chemical inventory. Users maintain responsibility for validating extracted information before approval, keeping governance controls intact.

The platform also supports ongoing SDS validation by helping users identify whether newer SDS revisions may be available — accelerating document discovery while keeping authorized users in control of review and approval decisions.

As constituent information becomes structured, organizations gain earlier visibility into potential regulatory concerns. Benchmark Gensuite compares extracted chemical constituents against PFAS lists and organization-specific substances of concern during the approval process — before chemicals enter operational use. When potential concerns are identified, reviewers can approve with additional controls, request substitution evaluations, require further information, or restrict site use pending review.

EcoPulse extends the platform's built-in PFAS screening with dedicated, PFAS-focused analytical capability — bringing PFAS review closer to the day-to-day chemical management workflow rather than treating it as a separate manual exercise. For organizations working to identify PFAS exposure, assess substances of concern, and support disclosure or regulatory readiness, this kind of analysis moves PFAS evaluation into the same connected environment where SDSs are uploaded, reviewed, approved, and managed.

Even when an SDS is available, finding the right information quickly can be difficult — PPE requirements, spill response instructions, handling guidance, and storage requirements are often buried across multiple SDS sections. Chem Agent — Benchmark Gensuite's Genny AI-powered tool — supports reviewers by enabling natural-language interaction with SDS content, surfacing PPE requirements, handling procedures, spill response guidance, and hazard information quickly without manually searching lengthy documents. The reviewer can then use that information directly in approval comments, required controls, or site-level instructions, while final decisions and accountability remain with the reviewer.

Benchmark Gensuite applies structured chemical information to operational activities beyond regulatory documentation. Chem Agent can generate concise chemical safety cards that summarize critical information for frontline employees — required PPE, hazard awareness, safe handling procedures, spill response guidance, and storage precautions — making SDS content easier to use at the point of work without replacing the SDS itself.

For regulatory reporting, Benchmark Gensuite is developing AI-supported reporting workflows that assist organizations with identifying reportable chemicals, evaluating reporting thresholds, recognizing reportable constituents within mixtures, identifying data gaps, and preparing information required for Tier II reporting. Expanded support for additional reporting obligations including TRI is planned as part of this ongoing development effort. Rather than replacing regulatory expertise, these workflows are designed to reduce manual data aggregation while improving consistency and transparency.