AI-powered integrated global database search

Integrated queries and automated collection from global databases including CIR and PubChem
Automated extraction and data conversion of key safety indicators such as NOAEL and LD50
Query data from major sources like CIR and PubChem through a single interface — no individual site visits required — dramatically reducing data exploration time.
AI automatically identifies and converts key safety assessment indicators — NOAEL, LD50, Endpoint, and more — into structured data.
Every extracted value is linked 1:1 to its source location (literature, DB, page),
enabling traceable evidence for regulatory responses and internal reviews.
AI processing and data collection run locally,
ensuring security and compliance without reliance on external servers.

Simultaneously queries major sources like CIR and PubChem using CAS No., substance name, or synonyms,
and automatically identifies and organizes key values such as NOAEL, LD50, LOAEL, NOAEC, and Endpoint.

Summarizes research results around key findings to support rapid review and decision-making.
Provides channel-by-channel summary information using visual elements such as tables and graphs for major sections.

Automatically generates Excel/PDF reports,
with a source comparison feature to cross-reference the generated report against the original documents.

Automatically saves search and analysis results per substance, reducing repetitive work and turning data into a reusable asset.
Share collection and analysis results with team members to build a shared knowledge system.
With ToxMind, consolidate global safety data
and minimize the time spent extracting and analyzing key indicators.
Providing customized AI solutions based on extensive knowledge from documents and databases of organizations/enterprises
A chemical substance DB specialized for cosmetic ingredients, AI-powered safety assessment data search, and a solution for reviewing and suggesting labeling and advertising claims including US (FDA, FTC), European (EC Regulation), and Chinese (NMPA, SAMR) regulations