Train Medical AI
—on Day One
Without a Single Real Patient Record
Zero PHI. Zero IRB delays. Zero hospital approvals. QA-certified synthetic clinical datasets, delivered today — built for AI teams that ship models, not governance paperwork.
WITNESS DATA FACTORY™ generates fully synthetic clinical datasets across nine medical domains, evaluates every record through a deterministic rule engine, and packages each batch in audit-ready JSONL with compliance-grade documentation — ready for labeling pipelines, model fine-tuning, and regulatory review on day one.
We don't just claim synthetic purity.
We document it — so your models,
your auditors, and your clients
never have to take it on faith.
Try Before You Buy
Inspect a Real Sample First
Start with a free 1K evaluation sample in any domain (oncology currently available) to inspect schema quality, benchmark ingestion, and validate fit before purchasing larger production datasets.
Built for Teams Who Can’t Wait on Hospitals
If your medical AI roadmap is blocked by access controls, compliance delays, or missing labeled data, these datasets are built to help your team move faster without waiting on hospital approvals.
Train, benchmark, and prototype clinical NLP systems without waiting through a six-month IRB queue or negotiating hospital access from scratch.
Run evaluations, ontology experiments, extraction tests, and reproducible benchmarking on structured synthetic corpora with stable schemas.
Procure synthetic data with clear documentation, stable schemas, and a delivery package built for technical, compliance, and procurement review.
Production Datasets
Ready for Evaluation or Scale
Browse production-ready dataset tiers by domain, from 10K evaluation-scale packages to 1M-record enterprise volumes.
Built on Verifiable Guarantees
Every dataset is built from fully synthetic generation, not transformed patient records or real patient data, which keeps the product aligned to a zero-PHI data strategy.
Each batch operates under a deterministic rule engine and a mode-aware Witness Gate path, with per-batch QA metrics recorded in a machine-readable QA certificate.
Documentation is surfaced clearly so technical, compliance, and procurement stakeholders can evaluate the dataset package with confidence.
Every Dataset Ships with Audit-Grade Proof
Every dataset includes documentation that helps technical, procurement, and compliance stakeholders evaluate it quickly and confidently.
Provenance and compliance documentation establishing synthetic origin, zero-PHI architecture, and audit-grade documentation posture for procurement review.
Technical addendum covering methodology, data generation approach, validation framing, and implementation-level proof for technical buyer review.
Clarifies licensing, usage expectations, and compliance framing so buyers can assess procurement fit without ambiguity.