Clinical Standards Automation Workbench
AI-assisted mapping from raw source data to SDTM-style domains, with generated transformation code, deterministic validation, and a full mapping evidence package.
Seven interactive applications that show how we combine deterministic validation, explainable AI, and human-in-the-loop review across the clinical data lifecycle. Every demo runs entirely in your browser on synthetic data, click Launch and explore.
Each POC shares one platform foundation: common roles, study context, audit logging, a provider-neutral AI gateway, and evidence export. Open any demo and switch users, studies, and AI providers from the top bar.
AI-assisted mapping from raw source data to SDTM-style domains, with generated transformation code, deterministic validation, and a full mapping evidence package.
One synchronized timeline across adverse events, labs, vitals, ECG, and visits, with rule-based flags, evidence-cited AI summaries, and a "what changed" view.
Deterministic and fuzzy matching between EDC, safety, and central-lab sources, with classified discrepancies, side-by-side comparison, and resolution workflows.
Register AI use cases, assess risk, run evaluation suites, including prompt-injection tests, and bind approvals to exact model and prompt versions.
A constrained low-code builder: assemble review applications from approved components, visually or from a plain-English prompt that produces configuration, never code.
Pharmacovigilance intake with evidence-linked field extraction, duplicate detection, triage suggestions, and factual narrative drafting, all behind human approval.
One study context, one identity, one audit trail. Watch a mapping approval flow into patient review, a reconciliation finding raise a review task, a prompt change trigger re-validation, and a safety signal escalate: end to end, with every version traceable.
Launch the suiteWe adapt each POC to your standards, your studies, and your SOPs, and take the ones you value to validated production.
Talk to our team