Problem

Minicor addresses the integration dead end created by legacy Windows applications—especially EHRs, ERPs, dental practice-management systems, and other systems of record that have no writable API. AI companies selling into healthcare, financial services, logistics, and automotive need to read and write customer data in those systems, but the only practical route is to interact with the user interface like a human. Traditional RPA scripts are brittle, while general-purpose computer-use models reportedly achieve only 80–85% accuracy in production. The economics worsen with workflow length: on a 20-step process, even 95% per-click accuracy means roughly two out of three runs experience at least one misclick.

The clearest use case is healthcare automation: an AI application needs to update an EHR in real time, but cannot launch until it proves that it can reliably write back to the provider’s system. Minicor targets workflows such as patient registration, appointment management, clinical messaging, insurance eligibility verification, document filing, and claims processing. At healthcare volumes, even a small error rate creates failures involving real patients, while integration projects that traditionally take four or more months can block sales and delay go-live.

Product / Service

Minicor is a managed desktop-automation platform that turns workflows in no-API applications into API-callable services. A customer installs Minicor’s Desktop Client on the machines running the legacy software, records or describes a human workflow—either directly or through a coding agent using Minicor’s MCP—and receives an API endpoint. Each request routes the workflow to a Windows VM or browser environment, executes the steps, and returns structured data such as a success status and verification result. Deployments can run on-premises, in the cloud, or through Citrix.

The product combines deterministic automation code with a computer-use recovery layer. A reflection agent checks each action against the live screen, adapts when a UI changes or an unexpected dialog appears, and self-corrects before an error cascades. Minicor says customers can reach production in weeks rather than the four-plus months typical of traditional RPA and integration work; its commercial model is tied to successful data delivery, with the company stating that customers pay only when the data gets into the target system.

Market

Minicor competes in enterprise RPA, workflow automation, and the emerging computer-use-agent market, with a focused wedge in legacy desktop software for healthcare and other highly regulated or operationally complex industries. Its competitive alternatives include building and maintaining RPA internally, brittle traditional RPA platforms such as UiPath, Blue Prism, and Microsoft Power Automate, and general-purpose computer-use models that must rediscover workflows at runtime. Minicor’s differentiation is the combination of API delivery, deterministic workflows, self-healing recovery, and deployment into on-premises or Citrix environments.

The company appears to be an early, revenue-generating startup rather than pre-revenue. Minicor says it launched in 2024, is VC-backed and selling to agentic healthcare companies, and is processing thousands of workflows per week across healthcare EHRs and other legacy systems. Its website also describes production architecture processing 25,000 patients per day. A PitchBook profile reports a $500,000 total raise, identifies Y Combinator among its investors, and lists a completed June 2026 seed round as “Generating Revenue”; these traction and financing figures are company-directory or company-reported claims rather than independently audited results.