Coral Raises $12.5M to Automate Healthcare Workflows Across Intake, Billing, and Prior Authorization
New York has seen its share of people claiming they can clean up healthcare admin. Most of them sound like they just discovered a fax machine in a museum and decided to call it innovation. Coral sounds different because Coral started where the pain actually lives: inside the swamp of specialty care, where referral packets pile up, prior authorizations stall, billing gets snarled, and patient communication somehow still depends on paperwork that moves like it pays rent. Now Coral, the NYC-based healthcare automation platform, has raised $12.5M, and that number matters because this is not money chasing a costume. This is capital backing a company built to do the unglamorous work that keeps care from getting jammed in the gears.
This company did not appear out of thin air with a pitch deck and a promise. Ajay Shrihari, Co-Founder and CEO, and Aniket Mohanty, Co-Founder, built Coral off lived friction. Founded in 2024, the roots trace back to IIIT Hyderabad and later LimeChat, where both sharpened their edge on real-world automation. One side of the table spoke fluent robotics and AI. The other understood medical image processing like it was second nature. When those two lanes merged, they did not chase headlines. They chased inefficiency. Coral is now processing more than 500,000 patient workflows every month, generating multiple millions in revenue in under a year, and aiming for 4x growth by the end of 2026. In healthcare, growth like that usually comes with scars. These numbers suggest they learned fast.
The round was led by Lightspeed and Z47, and that pairing reads like investors who have seen enough to know where the real leverage sits. Coral is not trying to rip and replace systems. It slides into the existing stack, plugs into EHRs, fax lines, and payer portals, and gets to work on the backlog that everyone complains about but few solve. Patient intake, prior auth, billing, communication, all of it handled without forcing providers to relearn their own operations. Coral has reportedly taken intake from 30 minutes down to under 5, with 99.7% accuracy. In a system where delays are baked in, that kind of compression changes more than timelines. It changes behavior.
Speed is the headline, but access is the story underneath it. Administrative drag is not just an operational issue, it is a gatekeeper. When workflows stall, care stalls. Coral is pushing into specialty healthcare, where complexity is high and mistakes are expensive, and tightening the loop between need and delivery. That is where this gets interesting from a business lens. Ajay Shrihari and Aniket Mohanty did not build a tool looking for a problem. They went into one of the most fragmented, expensive layers in healthcare and started removing friction piece by piece. Investors followed execution, not noise.
There is also something precise about the name. Coral builds structure in places where chaos used to drift. It grows by accumulation, by consistency, by solving the same problem well enough that it becomes foundation. That is what is happening here. In a healthcare system still running on delays and paperwork, Coral is not making noise. It is making time.
