Products

The Product Matrix Under a Unified Brand

Shipping available capabilities first, then expanding to concordance, submission, and a complete clinical trial AI product suite.

Available Now

Standardization

SDTM Recommendation

available

Helps clinical data programmers complete standardized structure judgments and mapping suggestions faster.

Structured recommendationClinical mapping context

View Details →

aCRF annotation after SDTM standardization mapping / Clinical trial data submission (FDA/NMPA) / Automatic CRF variable to SDTM domain correspondence / Annotation quality QC and audit logging

aCRF Annotation

available

Automatically generates FDA/NMPA/EMA-compliant annotated CRFs (aCRFs) from blank CRF PDFs and SDTM mapping tables. Uses fuzzy matching to locate PDF fields, intelligently places SDTM domain/variable annotation boxes, and supports multi-domain splitting, conditional annotations, overlap detection, and auto-adjustment.

Upload blank CRF PDF + SDTM mapping Excel, one-click aCRF generation4-step fuzzy matching algorithm (exact → normalized → fuzzy → form context)Color-coded annotation boxes by SDTM domain, dashed borders for derived variablesAutomatic multi-domain row splitting, conditional annotation (when/then) parsingOverlap detection and smart position adjustment (up to 20 attempts)Complete processing log (match status, scores, page numbers, warnings)

View Details →

Have a complete aCRF PDF, just need to add bookmarks / Quickly navigate large CRF documents by domain and visit / Preparing regulatory submission documents

Dual Bookmark

available

Adds dual-layer bookmark navigation to complete aCRF PDFs: organized by SDTM domain and by visit. No SDTM mapping table required — just fill in the page-to-visit correspondence to generate professional bookmarks.

Auto-extracts PDF page text, generates configuration tableDomain + Visit dual-layer bookmark structureNo SDTM mapping table required, standalone usageSupports Adobe Acrobat, Foxit, and other mainstream PDF readers

View Details →

Planned

Concordance

Data Concordance Check

planned

Checks discrepancies and inconsistencies between EDC data and electronic medical records / electronic source data.

Discrepancy detectionSource-to-EDC review

Submission

End-to-End R Submission Solution

planned

End-to-end clinical submission solution based on R, emphasizing compliance, verifiability, and regulatory acceptance.

Compliance-first workflowVerifiable delivery