Minicor

Deploy self-healing computer use agents that automate legacy desktop systems. Agents detect failures, self-correct, and keep running when UIs change. SOC 2 and HIPAA compliant. Zero to production in hours.

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Computer-use agents for legacy desktop systems; 93–96% click accuracy claims.

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

POC in hours for legacy desktop integrations blocking AI go-lives.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

YC Spring 2026 batch; self-healing desktop automations for legacy Windows apps (EHR, ERP, Citrix).

Why it matters: Funding signal — Pre-Seed per this source; verify against the linked original before relying on it.

Join Minicor and help build the platform that replaces legacy RPA with self-healing computer use agents at scale. VC-backed, based in San Francisco.

Why it matters: Hiring signal — open roles imply runway to spend and show where the company is investing.

Join Minicor and help build the platform that replaces legacy RPA with self-healing computer use agents at scale. VC-backed, based in San Francisco.

Why it matters: Hiring signal — open roles imply runway to spend and show where the company is investing.

Desktop and browser RPA automation, workflow management, and AI-powered debugging for the Minicor platform. Formerly Laminar.

Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.

Why it matters: Attention signal — social mention or presence; soft signal of market interest.

Technical writing on computer use agents, self-healing RPA, healthcare EHR automation, ERP integration, Citrix automation, and production-grade desktop automation. From the team building Minicor.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A doctor finishes a visit. The note needs to be in the chart before the next patient walks in. Most automation architectures cannot hit this window.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Every workflow automated captures data about how legacy systems actually work. Over time, that understanding compounds into something more valuable than the integrations themselves.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Home health agencies run on desktop EHR systems with no APIs. AI companies serving this vertical need to automate referral intake, patient data entry, and scheduling.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Desktop automation on patient data requires SOC 2 and HIPAA compliance from day one. Here is what healthcare AI companies need from their automation platform.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

RPA vendors sell on build time. Nobody talks about the 90% of effort keeping bots alive after deployment. Here is what that maintenance actually costs.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

The stakes are different. The UIs are deceptive. Session management is brutal. Here is what you learn when you automate EHRs in production.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Enterprise desktop automation is shifting from brittle scripts to intelligent agents. Computer use agents will replace traditional RPA within five years.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Most computer use agents use a planner-executor hierarchy. Modern LLMs are good enough that the extra layers are now overhead. Here is what we learned when we simplified.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Most EHR systems have no usable API. Healthcare AI companies need to push data into them anyway. Computer use agents solve this last mile integration problem.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Minicor automates electronic health record systems — Epic, Cerner, Athenahealth, and others — without an API. Healthcare teams and healthtech companies use Minicor to read patient records, enter clinical data, and sync information across systems.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Traditional RPA relies on element selectors that break constantly. Vision-based computer use agents find elements by looking at the screen, like a human does.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Healthcare runs on EHRs with no APIs. Computer use agents navigate these desktop applications visually, processing thousands of patient interactions daily.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

The first time an agent navigates a system, it explores. The hundredth time, it should know the path. Most agents do not work this way.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Some tasks are fundamentally computational. Summing a spreadsheet column, parsing a PDF, renaming files. Clicking through a GUI for these is slow and fragile. The agent should know when to write code instead.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

95% per-click accuracy sounds great. On a 20-step workflow, it means two out of three runs will have at least one misclick. Here is why recovery matters more than accuracy alone.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Citrix and RDP environments are common in enterprise. Computer use agents work through the visual interface, making them ideal for remote desktop automation.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Minicor automates CDK Global, Reynolds & Reynolds, DealerSocket, and other dealership management systems without an API. Dealerships and automotive software teams use Minicor to pull inventory, process deals, and sync data across systems.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Legacy ERP systems like SAP GUI and Oracle Forms were never built for automation. Computer use agents interact through the GUI, no source code access required.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Insurance claims run through legacy Windows applications with no API. Computer use agents automate these workflows without replacing the underlying system.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Writing notes into an EHR is not a text-entry problem. It is a navigation and verification problem with text entry in the middle.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Minicor is a desktop automation platform that lets engineering teams and AI agents automate any legacy software, even when there is no API, no integration, and no documentation.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

SAP GUI, Oracle Forms, and Sage 300 run critical operations on desktop. Traditional RPA breaks on their complex interfaces. Computer use agents handle it.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Dental practice management systems are desktop applications with no API. Here is how to automate insurance verification, scheduling, and claims submission.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

CDK Global and Reynolds will not give you API access. Computer use agents navigate these DMS desktop applications through the visual interface.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Athena's on-premise desktop EHR has no writable API. Here is how computer use agents automate it reliably in production.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

AI startups building on healthcare, logistics, and finance are switching from traditional RPA to computer use agents. The reason is not what you might expect.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

AI models work. The problem is getting their output into legacy systems never designed for programmatic access. Deployment is the real bottleneck.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Minicor is the infrastructure layer that gives AI agents access to legacy desktop software. When an agent needs to read from or write to a system with no API, Minicor wraps that workflow in a clean API endpoint.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A vendor pushes a UI update and every RPA script breaks. Computer use agents that see the screen instead of reading selectors handle changes automatically.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

One missed click without a check cascades into five more bad actions. One missed click with a check gets caught in three seconds. The math is simple.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Technical writing on computer use agents, self-healing RPA, healthcare EHR automation, ERP integration, Citrix automation, and production-grade desktop automation. From the team building Minicor.

Why it matters: Company publishing — post cadence and depth hint at product velocity.