AI works. But lives outside core systems.

AI is sold to clinics as point solutions (e.g. scribing, voice agents). Value is lost because it isn't embedded in core systems where operations and decisions happen.

Top-tier capital is investing in this category

Ease Health raised $41M from a16z (AI-native OS for behavioral health). YC-backed Sully.ai raised $20M for AI agents in healthcare. No equivalent in European private clinic ops. The wedge is open.

OOP healthcare is booming

Elective and private-pay clinics — aesthetics, preventive, dental, mental health — represent ~60% of global health spend and are growing 1.5–2x faster than traditional healthcare*. These clinics are commercially driven: they compete on patient experience and live or die on utilization and retention. That makes them ideal early adopters for advanced software systems.

*Source: Global Wellness Institute

Incumbents can't ship AI in time

Legacy EMRs were built pre-LLM and pre-API. Bolting on agentic AI means rethinking the entire stack. They lack the AI talent and move slowly by design.

Workflow moat

Amiro learns each clinic's flows, escalation rules, and SLAs. These fingerprints compound into a workflow knowledge graph across specialties.

Data moat

Patient and clinical data lives behind closed EMRs and is heavily regulated — competitors can't scrape it, buy it, or generate it synthetically. Every clinic Amiro signs adds a proprietary dataset that only Amiro can build on. The longer a clinic runs, the deeper the asset.

Network effects

What one clinic learns, every clinic benefits from. Reactivation campaigns, scheduling patterns, and conversion playbooks are distilled across the network. Clinic #100 inherits the intelligence of the 99 before it.

High switching costs

Amiro touches every role — front desk, clinicians, ops, finance, marketing. Switching isn't a migration; it's a re-org.