Baba, a healthcare navigation company specializing in applied artificial intelligence, has secured $40 million in Series A financing to expand its AI-supported care coordination services for Medicare populations. Alongside the funding announcement, the company has introduced BabaBench, a benchmarking framework designed to evaluate autonomous AI agents performing complex healthcare administrative tasks.
Baba's care delivery model combines dedicated human care teams with proprietary AI agents to support patients managing multiple medical, financial, and social needs. Each enrolled patient receives assistance from care coordinators and licensed clinical social workers or therapists, while AI systems handle administrative activities such as specialist referrals, hospital discharge coordination, insurance billing disputes, and access to community resources.
The company has supported more than 10,000 patients and families nationwide, with over 100,000 families currently on its waiting list. Its approach aims to reduce the operational costs associated with intensive care navigation, particularly for patients with complex chronic conditions.
BabaBench extends the company's activities into AI evaluation research. Published as a preprint on arXiv and accepted for presentation at an upcoming NeurIPS workshop, the framework assesses whether autonomous agents can complete extended administrative workflows while maintaining patient privacy and avoiding unauthorized clinical actions.
Unlike conventional AI benchmarks focused on isolated questions, BabaBench evaluates multistep processes, including insurance appeals, coverage disputes, and social assistance applications.
Baba's expansion also aligns with the Centers for Medicare & Medicaid Services' ACCESS Model, which evaluates outcomes-based reimbursement for technology-enabled chronic care management. The company has qualified across all four clinical tracks: early and advanced cardio-kidney-metabolic conditions, musculoskeletal health, and behavioral health.
"By dramatically lowering the cost of operating and coordinating care, we have an opportunity to make care delivery economically viable for populations that have historically been too expensive to serve," said Connor Sweeney, Founder and CEO of Baba.
The company has also expanded partnerships with healthcare organizations and strengthened its clinical and product leadership to support operational growth.
The developments reflect increasing interest in combining AI-driven administrative automation with human-led care delivery to improve access and operational efficiency across publicly insured populations.
Click here for the original news story.