Jorie operates a healthcare-focused RPA and AI platform built on Python, Selenium, and cloud infrastructure (Azure, AWS, GCP) to automate medical billing and claims workflows. The tech stack reveals deep healthcare system integration—FHIR, HL7, EDI, Meditech, Power BI—paired with machine-learning foundations (Pandas, NumPy, Databricks) for predictive modeling. Active projects around denial prediction, cashflow forecasting, and intelligent automation signal a shift from pure process automation toward data-driven revenue cycle intelligence.
Jorie provides AI-driven automation for hospital revenue cycle operations, targeting health systems, physician groups, and large medical organizations. The platform uses robotic process automation and predictive analytics to address endemic pain points: claim denials, manual processing bottlenecks, delayed payments, and reimbursement optimization. Founded in 2015 and headquartered in Oak Brook, Illinois, the company spans 1,001–5,000 employees with engineering and healthcare teams splitting development and domain expertise. Hiring velocity is accelerating across engineering, healthcare operations, and sales, with distributed teams in the United States and India.
Jorie builds on Python, Selenium, Flask/Django, and cloud platforms (Azure, AWS, GCP). For healthcare integration: FHIR, HL7, EDI, and Meditech. Analytics layer: Databricks, Power BI, Pandas, NumPy. Orchestration: Kubernetes, Docker, Celery.
Core projects: denial prediction models, cashflow forecasting, intelligent automation for revenue cycle workflows, client onboarding automation, upsell identification, and AI/ML models for healthcare claims processing.
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