Products/RPA (Robotic Process Automation) / AI Agents/Minicor

Minicor

Scalable Desktop Automations

RPA (Robotic Process Automation) / AI AgentsBacked by Y CombinatorSelf-Healing Agents - reflection agent verifies every action against what's on screen and self-corrects before workflow breaksDeploy Anywhere - runs on Windows VMs or in the browser, on-premise, cloud, or CitrixBuilt-in Observability - full video recordings of every automation run, failure notifications in Slack, debugging with screenshots and execution contextOne API call triggers execution - no SDK, no browser extension93-96% click accuracy vs 80-85% for other approachesDeterministic code storage with agent only for recovery and edge cases

Our Take

Minicor is processing 25,000 patients a day in production which is real traction, not just a pitch deck fantasy. The self-healing agent bit is genuinely the move — traditional RPA breaks the second someone's IT team updates a button location, but Minicor's reflection agent verifies what's actually on screen and course-corrects before the workflow crashes, delivering 93-96% click accuracy versus the 80-85% you get from older RPA tools or raw computer use approaches. Their architecture decision to use deterministic code storage with AI agents only handling recovery and edge cases is what makes this actually shippable in healthcare and automotive shops where a broken automation isn't just annoying, it's a compliance problem. YC-backed with namedrops like Epic, CDK, and SAP already in their customer list tells me they have actual signal in regulated industries, which is probably the hardest vertical to crack for any automation play.

RPA platform powered by AI and computer-use agents that builds and maintains desktop automations so teams can focus on closing deals and shipping product

Problem It Solves
Legacy desktop applications 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
Target Customer
AI companies selling into healthcare, automotive, logistics, and financial services
Use Cases
Patient Orders - Lab Orders processing, Desktop App automation - writing to legacy desktop applications, Workflow automation for healthcare EMRs, Automotive DMS automation, Supply chain system automation, Financial services claims processing
Differentiator
Self-healing agents that adapt when UI changes instead of breaking. Uses deterministic code storage with AI agents only for recovery and edge cases, achieving 93-96% click accuracy vs 80-85% for traditional RPA or computer use models
Why Now
Legacy desktop systems have no APIs, vendors are restricting third-party API access, AI companies need to automate reading and writing to customer systems of record
Traction
Customers Mentioned: Athena, Epic, Cerner, PS Suite, Open Dental, Dental Vision, CDK Global, SAP, HighJump, Wellsky, Home Care HomeBase · Notable Metrics: 25,000 patients/day in production

Key Facts

Category
RPA (Robotic Process Automation) / AI Agents
Stage
Backed by Y Combinator
Discovered via
yc

The people behind Minicor

F

Faizaan Chishtie

profile

Co-Founder @laminar-run

S

Saheed Akinbile

profile

CTO & CO-Founder at Laminar

Links

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