Olira provides a cloud‑based patient data infrastructure that ingests and normalizes EHR feeds into standardized FHIR and OMOP models, applying automated de‑identification and consent management for HIPAA‑compliant sharing. Its secure data lake and APIs give AI developers real‑time access to curated, consent‑managed clinical datasets, while built‑in governance tools enable institutions to control, audit, and enforce data access policies.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations often struggle to collect, standardize, and securely share patient data needed to train and deploy clinical AI models, leading to fragmented datasets, compliance risks, and delayed AI adoption.
Solution
Olira offers a cloud‑based patient data infrastructure that ingests electronic health record (EHR) feeds, normalizes clinical information to common data models, and applies automated de‑identification to meet privacy regulations. The platform provides APIs and SDKs that allow AI developers to query curated, consent‑managed datasets in real time, accelerating model training and validation. Built‑in governance tools let institutions define data access policies, audit usage, and enforce consent preferences. Olira’s secure data lake stores both structured and unstructured clinical data, enabling scalable analytics while maintaining HIPAA compliance. Integration with major EHR systems and support for industry standards (FHIR, HL7) ensures seamless data flow into existing clinical workflows.
Target Audience
Primary customers are healthcare providers, health systems, and life‑science companies that develop or deploy clinical AI applications and need a compliant, interoperable data foundation.
Features
- Automated ingestion pipelines from major EHR vendors with real‑time data synchronization
- Standardization to FHIR and OMOP data models for interoperable clinical datasets
- Built‑in de‑identification and consent management to ensure HIPAA‑compliant data sharing
- Secure, scalable cloud data lake supporting structured and unstructured patient records
- RESTful APIs and SDKs for direct access to curated datasets by AI/ML pipelines
- Auditing and role‑based access controls for comprehensive data governance