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AI & Machine Learning·Pre-seed·

Avoca Systems

Operational intelligence for radiology networks: capture every booking, automate the patient journey, scale without headcount.

Category
AI & Machine Learning
Launched
August 13, 2026
Stage
Pre-seed
Website
avocasystems.com
Avoca Systems product image 1

Radiology booking is a phone problem before it is a software problem. A patient calls after their GP sends a referral; the line rings, the receptionist is juggling three other calls, and the caller gives up and tries the next clinic on the list. That lost call is not just a missed appointment—it is revenue walking out the door. Avoca Systems, a pre seed startup from Y Combinator's latest batch, has built an AI layer that sits on top of this reality, not around it. Its pitch is not "automate your scheduling" but "capture every booking across all your channels"—and the distinction matters. Avoca's platform handles the messy, human end of radiology: answering calls, following up on referrals, sending reminders, and even recalling patients for follow up scans. It does this by learning how a specific clinic operates, not by forcing a generic workflow. The company calls this "operational intelligence," and it is the core of the product. This article looks at how Avoca is trying to solve a problem that most AI scheduling tools ignore: the complexity of a real radiology network.

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