Predictive scheduling platform for ambulatory healthcare operations
TeamBuilder builds predictive scheduling software for ambulatory care clinics, grounded in optimization models (MILP), data science (Python, R), and deep EHR integrations (Epic, Cerner, FHIR/HL7). The tech stack and active projects reveal a company moving beyond static scheduling into forecasting—they're developing predictive models for operational metrics while simultaneously wrestling with EHR integration and data-pipeline reliability, two hallmarks of early-stage healthcare SaaS scaling.
TeamBuilder is a 11–50-person healthcare software company founded in 2021, headquartered in Newtown, CT. They provide a predictive staff scheduling platform designed specifically for ambulatory care settings—clinics, urgent care, and similar outpatient operations. The platform ingests clinic data (patient volume, provider capacity, historical schedules) and uses optimization and forecasting models to recommend staffing plans that balance workload, reduce inefficiency, and improve clinic operations. They integrate with major EHR systems (Epic, Cerner) via FHIR and HL7 standards and deliver insights through Looker dashboards. Sales and implementation are manual, hands-on processes typical of healthcare SaaS.
Python and R for modeling, Gurobi for mixed-integer linear programming (MILP) optimization, SQL for data queries, and integrations with Epic, Cerner, and FHIR/HL7 standards to pull real-time clinic data from EHR systems.
Core projects include predictive forecasting models for operational metrics, optimization models (MILP), EHR system integrations, REST API platform development, automated testing, and customer onboarding via learning management systems.
Other companies in the same industry, closest in size