
Founded by Adrian Barbir & Richard Ou
A team of repeat founders who are excited by the challenges legacy systems present.
Right now, multi-site healthcare groups backed by private equity, like dental, veterinary, ophthalmology, and med spas chains, struggle because their critical operational data is trapped within disconnected systems, many of which don't offer reliable APIs or straightforward ways to extract accurate data. Information locked in outdated ERPs, legacy practice management systems, email inboxes, and non-standardized supplier websites creates countless hours of manual data collection and entry, resulting in inefficiencies, errors, and severely limited visibility into real-time profitability. Traditional automation has historically failed due to these complexities, and even impressive general-purpose AI tools like ChatGPT aren't designed to tackle such nuanced operational realities.
Doe solves this by embedding task-specific AI agents that leverage the unique capabilities of large language models (LLMs) to deeply understand and interact directly with these challenging, fragmented systems...even those without formal APIs. Their platform seamlessly connects to ERPs, legacy practice management systems, email inboxes, and supplier websites, autonomously managing procurement, inventory optimization, approvals, scheduling, compliance, and analytics. For example, procurement teams instantly know exactly which practices risk running low on critical supplies, automatically reorder inventory from approved suppliers at optimal pricing, and proactively address compliance issues without manual oversight. CFOs gain immediate visibility into real-time profitability across locations, pinpointing precisely where and why financial improvements can be made.