The American healthcare system remains paradoxically tethered to legacy technology, most notably the fax machine. For providers, the administrative burden of processing handwritten forms and securing insurance authorizations is a primary driver of both professional burnout and operational delay. Coral, a New York-based startup, is betting that the solution lies not in forcing doctors to adopt entirely new digital systems, but in building AI that adapts to their existing, analog habits.
The company’s platform uses machine learning to interpret handwritten fax forms and complete patient intakes in under five minutes—a process that typically consumes hours of manual labor. By integrating into the "back office" without requiring a change in clinical workflow, Coral bypasses the friction that often stifles digital transformation in medical settings. This pragmatic approach has allowed the firm to reach several million dollars in revenue within its first year of operation.
With a newly secured $12.5 million in funding, Coral is planning an aggressive expansion, targeting fourfold growth by the end of 2026. As the broader technology sector searches for "agentic" AI applications that deliver tangible ROI, Coral’s focus on the unglamorous, high-volume paperwork of medicine offers a blueprint for how automation might finally dismantle the industry’s most persistent bottlenecks.
With reporting from The Next Web.
Source · The Next Web
