Privacy-Preserving AI for Healthcare & Life Sciences
Bridge gaps in clinical trials, enable PHI-safe AI training, and unlock new possibilities for medical research and care.
"Synthetic electronic health records (EHRs) are used to safeguard patient privacy while enabling medical research and healthcare use cases."
CTO, Leading Japanese MNC
Key Challenges
| Challenge | Description |
|---|---|
| Data Privacy & Compliance | Healthcare data is tightly regulated (HIPAA, GDPR, HITRUST). Sharing real EMRs and clinical data is risky and often prohibited. |
| Data Scarcity & Bias | Rare diseases, underrepresented demographics, and long-tail medical cases are difficult and costly to collect, leading to biased and incomplete datasets. |
| High Costs & Long Timelines | Clinical trial data, medical imaging, and labeled EMRs take months or years to acquire—slowing down drug discovery and AI development. |
| Integration Barriers | Legacy EHR systems, siloed datasets, and strict IT environments make it difficult for startups and vendors to experiment and deploy safely. |
Our Solutions
| Solution | Description |
|---|---|
| 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
| Use Case | Description |
|---|---|
| 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 |
Key Benefits
| Benefit | Description |
|---|---|
| Accelerated Innovation | Cut months from model development by removing data bottlenecks |
| Regulatory Peace of Mind | Synthetic datasets are fully compliant with HIPAA, GDPR, and HITRUST |
| Cost Efficiency | Reduce reliance on expensive patient recruitment and manual labeling |
| Fair & Inclusive Models | Correct imbalances in datasets for more equitable healthcare outcomes |
| Collaboration Without Risk | Share synthetic datasets across teams, institutions, and vendors without exposing PHI |
| Future-Proof AI | Enable continuous retraining and drift management with scalable synthetic pipelines |
"We strive to start each relationship with establishing trust and building a long-term partnership. That is why, we offer a complimentary dataset to all our customers to help them get started."
Ready to Get Started?
Contact our team to learn how we can help your healthcare and life sciences organization develop AI systems that meet the highest standards.