AI Strategy & MLOps for Healthcare
OraDigit enables healthcare teams to deploy, monitor, and scale AI responsibly. From imaging models to therapy prediction systems, we ensure your AI infrastructure is compliant, explainable, and built to last.
AI Built for Clinical Reality
- Model Deployment Pipelines
Secure workflows for validating, packaging, and pushing models into production — aligned with clinical systems like PACS, RIS, and EMR. - Monitoring & Drift Detection
Track model performance over time, detect drift in imaging protocols, and trigger retraining pipelines. - Auditability & Governance
Maintain version control, model lineage, and approval logs to meet regulatory and institutional requirements. - Dev-Test-Prod Environments
Build reproducible environments with isolated test beds and CI/CD for AI workflows. - Human-in-the-Loop (HITL)
Enable expert review, override, and validation feedback in the AI lifecycle — vital for high-stakes medical applications.
Strategic Guidance
- AI Roadmap Design
Define clear goals, timelines, and infrastructure plans aligned with your department’s needs. - Compliance-First Frameworks
Built with HIPAA, FDA, and institutional research standards in mind. - MLOps Platforms & Tools
Support for MLflow, Kubernetes, GitHub Actions, and hybrid cloud deployment options. - Clinician-Engineer Collaboration
Bridge the gap between technical development and real-world medical workflows.