Coral Launches Its Coral Platform for Healthcare Providers
Edited by Adam Harrie — April 29, 2026 — Tech
This article was written with the assistance of AI.
References: globenewswire & thenextweb
Coral, a New York AI startup, launched the Coral platform to automate administrative workflows for specialty healthcare providers, featuring document-understanding models tailored to faxes, scanned forms and payer portals.
Founded in 2024 by Ajay Shrihari and Aniket Mohanty, the company connects to existing EHRs, fax lines and payer systems so providers do not need to replace legacy infrastructure. Coral’s models reached 99.7% accuracy across handwritten and scanned documents and sped complete patient intakes to under five minutes. The startup began in durable medical equipment and expanded into infusion centers and specialty pharmacy, and early customers reported dramatically shorter turnaround times.
Coral also shipped AI voice and text follow-up workflows and plans an AI workflow builder, as well as a co-pilot layer to surface operational intelligence from claims and authorization data.
Image Credit: Shutterstock/DC Studio
Founded in 2024 by Ajay Shrihari and Aniket Mohanty, the company connects to existing EHRs, fax lines and payer systems so providers do not need to replace legacy infrastructure. Coral’s models reached 99.7% accuracy across handwritten and scanned documents and sped complete patient intakes to under five minutes. The startup began in durable medical equipment and expanded into infusion centers and specialty pharmacy, and early customers reported dramatically shorter turnaround times.
Coral also shipped AI voice and text follow-up workflows and plans an AI workflow builder, as well as a co-pilot layer to surface operational intelligence from claims and authorization data.
Image Credit: Shutterstock/DC Studio
AI tools for prior authorizations in specialty care
Informs decisions to try, buy, or switch administrative automation for prior auth, intake, and follow-ups in the next 1–2 weeks.
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When was the last time you processed a prior authorization?
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How likely are you to try an AI tool for prior auth in the next 2 weeks?
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Which workflow would you automate first with AI?
Trend Themes
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Legacy System Integration AI — Seamless connectors between modern AI and existing EHRs, fax lines and payer systems create scope for platforms that unlock value from entrenched legacy infrastructure without rip-and-replace.
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Document-understanding Models for Healthcare — Highly accurate models for handwriting, scanned forms and faxed documents enable automated extraction of clinical and billing data that can drastically reduce intake and adjudication latency.
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AI-driven Workflow Co-pilots — Contextual co-pilot layers that surface operational intelligence from claims and authorization data promise to reshape decision support and exception handling across administrative processes.
Industry Implications
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Specialty Healthcare Providers — Clinics and centers focused on infusion, specialty pharmacy and other niche services stand to gain from reduced intake times and faster authorization cycles that can increase throughput and revenue capture.
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Payer and Authorization Services — Insurance processors and prior-authorization vendors could be transformed by AI that automates document ingestion and adjudication, lowering manual review costs and shortening approval windows.
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Durable Medical Equipment and Supply — DME suppliers and logistics partners may experience operational shifts as automated document workflows accelerate order processing, verification and reimbursement reconciliation.
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