SOPHiA DDM is a cloud‑native AI platform that ingests raw genomic sequencing and medical imaging data, runs standardized bioinformatics and radiomics pipelines, and delivers automated variant annotation and predictive analytics. The system uses federated learning to improve models while preserving patient privacy and integrates with EHR and LIS via FHIR‑compatible APIs, providing decision‑support dashboards for oncology, radiology, and genetics teams.
Funding
$267M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3C+8Founders
Product
Problem
Healthcare providers face fragmented, high‑dimensional genomic and radiomic datasets that are difficult to integrate, interpret, and translate into timely clinical decisions, especially in oncology and rare disease contexts. Limited access to scalable analytics hampers diagnostic accuracy and slows research collaboration across institutions.
Solution
SOPHiA DDM™ is a cloud‑native, AI‑driven platform that ingests raw sequencing and imaging data, applies standardized preprocessing pipelines, and delivers clinically actionable insights through automated variant annotation, radiomic feature extraction, and predictive modeling. The system leverages federated learning to continuously improve algorithms while preserving patient privacy, and it aggregates anonymized results across participating sites to create a collective intelligence network. Results are presented via a secure web portal and interoperable APIs that integrate with electronic health records (EHR) and laboratory information systems (LIS). By providing end‑to‑end workflow support—from data upload to report generation—the platform accelerates precision‑medicine decision making for oncologists, radiologists, and geneticists.
Target Audience
Primary customers are hospital oncology and radiology departments, clinical genetics labs, and pharmaceutical research groups that require high‑throughput genomic and imaging analytics for patient care and drug development.
Features
- Scalable cloud infrastructure with containerized bioinformatics pipelines (e.g., GATK, DeepVariant) for whole‑genome, exome, and targeted sequencing
- Integrated radiomics engine that extracts high‑dimensional imaging biomarkers from CT, MRI, and PET scans using deep convolutional networks
- Automated variant interpretation using curated knowledge bases (ClinVar, COSMIC) and machine‑learning classifiers for pathogenicity scoring
- Federated learning framework that updates predictive models across institutions without sharing raw patient data, ensuring GDPR and HIPAA compliance
- Clinical decision support dashboards with customizable visualizations, risk scores, and treatment recommendation overlays
- FHIR‑compatible REST APIs for seamless integration with EHRs, LIS, and research data warehouses
- Role‑based access control and end‑to‑end encryption for secure data handling and audit trails