What DataFramer does
Synthetic EMRs & Clinical Records
Generate lifelike but fully PHI-free patient records, enabling safe model training and collaboration.
Clinical Trial Simulation & Augmentation
Fill gaps in trial data with synthetic cohorts—simulate rare conditions, diverse demographics, and adverse events.
PHI-Safe Model Training & Evaluation
Replace sensitive identifiers with synthetic variants, enabling cloud-based testing, debugging, and safe POCs.
Bias Mitigation & Edge Case Coverage
Balance datasets across age groups, conditions, and populations to build fairer, more robust models.
Seamless Integration
APIs and connectors slot into existing research, trial, and hospital IT pipelines for fast adoption.
Use cases
Triage & Diagnostics
Synthetic ER visit data trains AI systems to prioritize urgent cases and assist clinicians in real time
Drug Research & Discovery
Simulate disease progression and treatment outcomes to speed up drug testing and reduce trial costs
Clinical Trials
Enhance study designs by generating synthetic control groups or extending rare-patient cohorts
Medical AI Agents
Train conversational healthcare agents and insurance workflow AI with PHI-safe synthetic transcripts and notes