Core Insights - ExaCare AI, a healthcare technology startup, has raised $30 million in Series A funding to address operational challenges in skilled nursing, particularly the admissions bottleneck [1][2]. Company Overview - ExaCare AI serves 1,500 facilities across the U.S., including major operators like National Healthcare Associates and Monarch Healthcare Management [2]. - The new funding will be used to accelerate product development, expand engineering resources, and enhance customer support operations [2]. Industry Challenges - Skilled nursing facilities face significant operational pressures due to unstructured referral packets that complicate the admissions process, leading to delays and inefficiencies [3][4]. - High-stakes admission decisions often need to be made quickly, which can result in operational strain, including delayed placements and staff burnout [4]. Technological Solution - ExaCare AI has developed a platform that automates the ingestion of unstructured referral information, improving decision-making speed and accuracy [5]. - The technology utilizes machine learning models from engineers with backgrounds at Amazon, Tesla, and Google to enhance workflow efficiency [5]. Customer Impact - One operator reported that ExaCare AI's platform reduces manual work by over 60% and speeds up the referral review process, allowing for quicker admissions [6]. - Customers have noted that the increased speed can lead to an additional two residents per facility each month, translating to approximately $450,000 in annual revenue per building [6].