![\"Coral](\"https:\/\/www.newsbeep.com\/uk\/wp-content\/uploads\/2025\/10\/1761121222_48_960x0.jpg\")
<\/p>\nNew York-based Coral AI attacks healthcare\u2019s most frustrating administrative work: the faxes, forms, portal logins, phone calls, and prior-authorization exchanges that delay patient intake and billing. Founded in 2024 by Ajay Shrihari, a robotics and AI researcher, and Aniket Mohanty, an expert in medical image processing, Coral\u2019s model is trained on the industry\u2019s vast trove of data to automate the data input and exchanges that clogs the system. <\/p>\n
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Coral AI founders Ajay Shrihari and Aniket Mohanty <\/p>\n
Coral AI<\/p>\n
Coral reads long, messy referral packets, extracts relevant data, checks eligibility, reasons through clinical criteria, and drafts prior authorizations. Human staff review and submit. The company says its models reach accuracy levels in the high 90s and now handle hundreds of thousands of patient workflows monthly.<\/p>\n
\u201cWe didn\u2019t start with healthcare as an industry,\u201d Shrihari said. \u201cWe started with the frustration of watching people wait weeks for care because of paperwork. Once we saw how much time was lost before a doctor ever saw a patient, the opportunity became obvious.\u201d<\/p>\n
Ashish Singh of Bain & Company, a senior advisor to Lightspeed Venture Partners on healthcare, was studying paperwork bottlenecks when he met Shrihari through Lightspeed\u2019s network. He immediately saw how computer vision and machine learning could address what he calls \u201cthe paperwork pyramid\u201d at the base of healthcare. Eligibility checks, faxes, and prior authorizations consume much of the industry\u2019s estimated $450 billion in annual administrative costs. Lightspeed led a $2 million seed round to build Coral, and Singh joined the board as an advisor. \u201cAjay had both deep technical skills and unusually high emotional intelligence,\u201d Singh said. \u201cHe understood that fixing healthcare meant working within its complexity, not against it.\u201d<\/p>\n
Shrihari says Coral\u2019s team learned by embedding with clinic staff and mapping every step of the intake process. \u201cYou can\u2019t make a mistake in healthcare,\u201d he told me. \u201cAnything below the high 90s just isn\u2019t usable.\u201d He adds, \u201cWe don\u2019t replace people. We design the system to work with them because their judgment is part of why care gets delivered safely.\u201d<\/p>\n
Traditional robotic-process-automation (RPA) tools struggled in clinics because generic optical-character-recognition (OCR) systems and fragile browser bots failed to read handwriting, flipped insurance cards, and blurry text. Coral trains its models specifically on healthcare data, using real-world clinic documents instead of synthetic samples. Its platform adapts to the irregularities of each provider\u2019s workflow, keeping humans in the loop for oversight.<\/p>\n
This is a crowded market, with legacy RPA vendors like UiPath and Automation Anywhere serving large systems, and new entrants chasing niches such as infusion, radiology, and pharmacy. Coral differentiates itself by accepting the messy status quo and automating inside it. \u201cLegacy vendors tried to rebuild everything,\u201d Shrihari said. \u201cWe integrate with what providers already use so value appears on day one.\u201d<\/p>\n
DASCO, a home medical equipment provider offering respiratory therapy, mobility aids, to patients, is one of Coral\u2019s early customers. \u201cTheir AI-driven software streamlines intake of documents with enhanced accuracy and speed, reducing turnaround times from hours\/days to mere minutes,\u201d Said DASCO President Michael Gorman, in an email. \u201cThis not only alleviates a significant administrative burden on providers but also benefits countless patients.\u201d<\/p>\n
A July 2025 MIT report, The GenAI Divide, found that 95 percent of organizations saw no measurable business return from generative AI pilots, with only five percent showing meaningful results. While the study briefly shook tech stocks, critics argued it ignored smaller firms and individual users\u2014those closest to real operational pain points. Coral AI\u2019s story illustrates that point.<\/p>\n
\u201cIf The GenAI Divide captures widespread disappointment in corporate AI spending, Coral shows where success is emerging,\u201d Singh said. \u201cOnce you can automate intake and referral at this level of reliability, you can apply the same methodology to any industry with unstructured workflows: insurance, banking, even government. The foundation they\u2019re building has range.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"New York-based Coral AI attacks healthcare\u2019s most frustrating administrative work: the faxes, forms, portal logins, phone calls, and…\n","protected":false},"author":2,"featured_media":217418,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43],"tags":[554,93204,102,2960,56,54,55],"class_list":{"0":"post-217417","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-healthcare","8":"tag-ai","9":"tag-coral-ai","10":"tag-health","11":"tag-healthcare","12":"tag-uk","13":"tag-united-kingdom","14":"tag-unitedkingdom"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/217417","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=217417"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/217417\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/217418"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=217417"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=217417"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=217417"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}