StarTex Software digitizes chemical Safety Data Sheets with Nanonets AI extraction
StarTex needed to process millions of multi-format Safety Data Sheets from chemical manufacturers worldwide for compliance, but the volume, format variation, and zero-error requirement made manual processing infeasible — clients had to do it themselves, and building an internal database manually would take months or years.
StarTex could not offer an SDS processing module, forcing clients to perform manual, error-prone extraction. Competitors had built their SDS libraries through decades of manual effort — a path too slow for StarTex to replicate.
With Nanonets, StarTex can extract required fields from multi-format SDSs in seconds with high accuracy, enabling a new product module that was previously impossible to offer.
Frequently asked questions
What did this team achieve with this AI workflow?
With Nanonets, StarTex can extract required fields from multi-format SDSs in seconds with high accuracy, enabling a new product module that was previously impossible to offer.
What tools did this team use?
Nanonets API, Nanonets.
What results were reported?
Extraction speed: in seconds; Extraction accuracy: high level of accuracy; Manual database build time (counterfactual): months or years; Manual processing quality (counterfactual): very time-consuming and error-prone (source-reported, not independently verified).
What failed first in this deployment?
StarTex could not offer an SDS processing module, forcing clients to perform manual, error-prone extraction.
How is this compliance monitoring AI workflow structured?
SDS documents uploaded → Nanonets API called → AI extracts required fields → StarTex verifies extracted data.