AI platform automating referrals, admissions and reimbursement for post-acute care
Exacare ai sells AI software to post-acute care providers, handling referral intake, admissions packet review and reimbursement workflows. Its stack pairs a TypeScript/React and PostgreSQL product on AWS with a full ML toolchain (PyTorch, MLflow, Kubeflow, Ray Tune, Weights & Biases, RAG), pointing to in-house model work on unstructured referral documents. Hiring is spread across engineering, product, sales and marketing, consistent with expansion into skilled nursing and new verticals.
Exacare ai is a privately held, New York-based company building AI software for post-acute care operators, including skilled nursing, assisted living and senior living providers. The platform processes incoming referrals, analyzes admissions paperwork and supports reimbursement management, alongside care-adjacent capabilities such as eMAR, EHR, care and service plans and pharmacy integration. The company counts more than 2,000 facilities and agencies as customers across the United States. It employs 51–200 people and hires in the United States and Canada.
Exacare ai builds with TypeScript, React, Python and PostgreSQL on AWS, with Docker and Kubernetes, plus an ML stack of PyTorch, MLflow, Kubeflow, Ray Tune, Optuna, Weights & Biases and RAG. HubSpot, NetSuite and Tableau support business operations.
Job posts point to new features for skilled nursing facilities and other verticals, core platform improvements, a customer-facing analytics offering, a feature-flag system, and customer onboarding pilots and rollouts.
Exacare ai is headquartered in New York, United States, has 51–200 employees and recruits in both the United States and Canada.
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exacare ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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