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Radically reduce error rates with self-healing agents.
Unlock Growth
01
When a UI changes or an unexpected dialog appears, the agent catches it, adapts, and keeps going. A reflection agent verifies every action against what's on screen and self-corrects before the workflow breaks. No more rebuilding scripts every time a vendor ships an update.
Writing RPAs isn't hard. Maintenance is the killer.
02
Computer use agents that run on Windows VMs or in the browser. On-premise, cloud, or Citrix. One API call triggers execution.
Same architecture running in production at 25,000 patients/day.
03
Replay full video recordings of every automation run. Get failure notifications directly in Slack. Debug with screenshots and full execution context instead of guessing.
Debug with context, not guesswork.
Under the Hood
From API call to desktop automation running on a Windows VM. Here's what happens under the hood.
Customers go from zero to production in days. If RPAs are holding you back, let's talk.
Or just email us at connect@minicor.com
Minicor is a platform for building and running desktop automations at scale with computer use agents. AI companies selling into healthcare, automotive, logistics, and financial services need to read and write to their customers' systems of record. These are old desktop applications with no APIs. Minicor automates them reliably so companies can go live in weeks.
Most legacy desktop systems like EHRs, ERPs, DMS, and PMS have no writable API and never will. Some vendors are actively restricting third-party API access. The only way to read or write data is to interact with the desktop like a human would. That is the problem Minicor solves.
Building one RPA is not hard. Running hundreds reliably is. UIs change, edge cases pile up, errors cascade. At scale, even small error rates become catastrophic. Engineering teams end up spending all their time maintaining automations instead of building their core product.
Traditional RPA vendors use brittle scripts that break when UIs change. Computer use models work for demos but fall apart in production at 80-85% accuracy because they figure everything out from scratch every time. Minicor stores automation as deterministic code and uses the agent only for recovery and edge cases. Faster and more accurate in production.
Minicor self-heals. A reflection agent verifies every action against what is on screen and self-corrects before mistakes cascade. When a vendor ships a UI update, the automation adapts instead of crashing. 93-96% click accuracy vs 80-85% for other approaches.
Zero to production in weeks. Install our Desktop Client, record a video of a human performing the workflow, and we handle everything after that. Traditional RPA and integration approaches typically take 4 or more months.
Yes. SOC 2 Type II certified and HIPAA compliant. For on-premise deployments, the entire platform is containerized and runs inside your network. No data leaves your perimeter.
Any legacy desktop or web application. Healthcare EMRs like Athena, Epic, Cerner, and PS Suite. Dental PMS like Open Dental and Dental Vision. Automotive DMS like CDK Global. Supply chain systems like SAP and HighJump. Home health systems like Wellsky and Home Care HomeBase. Financial services platforms for claims, banking, and underwriting.
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