CRO and CDMO data arrives fragmented — zip files, PDFs, Excel reports, Word documents, each formatted differently by each external lab. Every week, scientists spend hours per study downloading deliverables, manually verifying results against protocols, chasing clarification emails, and reconciling formats before the data can be trusted or handed off.
CRO Connect automates the entire workflow. In this live technical showcase, recorded June 18, 2026, we walk through how Tetra OS ingests CRO deliverables automatically via cloud-share connectors, applies AI-powered parsing and protocol-based QC on arrival, and delivers review-ready data directly into ELNs, LIMS, and other downstream systems — with a full audit trail at every step.
What you'll see in this recording:
- Automated ingestion from cloud shares (Egnyte, S3) — no manual uploads, files up to 512 GB supported
- AI-powered parsing and structuring of unstructured CRO formats (PDFs, Excel, Word) into a common data model
- Automated QC and anomaly detection against protocols on arrival — scientists review exceptions, not every data point
- LLM-assisted review with Accept/Reject workflow and full audit trail
- Downstream handoff to Benchling, Veeva Vault, Medriva, and LIMS with context preserved
Proven outcomes already in production:
80% reduction in review time · 30–45% reduction in data-exchange delays · 10–20% acceleration in IND readiness