Coral AI And Healthcare’s $450 Billion Paperwork Problem
New York-based Coral AI is revolutionizing the healthcare industry by targeting the most frustrating administrative tasks that plague patient intake and billing processes. Founded in 2024 by Ajay Shrihari, a robotics and AI researcher, and Aniket Mohanty, an expert in medical image processing, Coral AI utilizes advanced technology to automate data input and exchanges that cause delays in patient care.
Coral AI’s model is trained on a vast amount of industry data to read and extract relevant information from long and messy referral packets. It checks eligibility, analyzes clinical criteria, and even drafts prior authorizations. The company boasts accuracy levels in the high 90s and handles hundreds of thousands of patient workflows monthly.
According to Shrihari, the inspiration behind Coral AI came from observing the significant amount of time wasted on paperwork before a patient even sees a doctor. The company’s mission is to streamline administrative processes to improve efficiency in healthcare delivery.
Ashish Singh, a senior advisor to Lightspeed Venture Partners, recognized the potential of using computer vision and machine learning to address the paperwork bottlenecks in healthcare. Lightspeed led a $2 million seed round to develop Coral AI, with Singh joining the board as an advisor. Singh praised Shrihari for his technical expertise and emotional intelligence, emphasizing the importance of working within the complexity of the healthcare system to drive meaningful change.
Coral AI differentiates itself from traditional robotic-process-automation tools by focusing on healthcare-specific data training and adapting to each provider’s workflow irregularities. The platform works in conjunction with human staff to ensure accuracy and oversight throughout the automation process.
One of Coral AI’s early customers, DASCO, a home medical equipment provider, has experienced significant improvements in document intake efficiency and accuracy. President Michael Gorman noted that Coral’s AI-driven software has reduced turnaround times from hours/days to mere minutes, benefiting both providers and patients.
A report by MIT in July 2025 highlighted the challenges faced by organizations in implementing generative AI solutions. While many organizations failed to see tangible results, Coral AI’s success story demonstrates the potential for transformative change in industries with complex workflows.
As Coral AI continues to innovate and expand its reach in healthcare, its success serves as a beacon of hope for the future of AI-driven automation in various industries. By focusing on reliability and integration with existing systems, Coral AI paves the way for enhanced efficiency and improved outcomes in healthcare and beyond.
