Minicor provides a platform for building and maintaining desktop robotic process automation (RPA) agents that self‑heal when UI changes or unexpected dialogs appear, dramatically reducing error rates and script rewrites. The agents run on Windows VMs, browsers, on‑premise, cloud, or Citrix environments and can be triggered with a single API call, supporting high‑volume use cases such as processing 25,000 patient records per day.
Funding
$600K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many enterprises rely on legacy desktop applications that lack APIs, making it difficult to automate repetitive tasks. Traditional RPA solutions often break when the user interface changes or unexpected dialogs appear, requiring costly script rewrites and causing workflow downtime.
Solution
Minicor delivers desktop robotic process automation that runs on Windows VMs, browsers, on‑premise, cloud, or Citrix environments and can be started with a single API call. Its self‑healing agents monitor the screen, detect UI changes or unexpected dialogs, and automatically adapt the workflow while a reflection agent verifies each action against the visible UI, preventing breaks. The platform records full video of each run and provides Slack notifications, screenshots, and execution context for rapid debugging. This combination of real‑time self‑correction and built‑in observability enables high‑volume production automation, such as tens of thousands of interactions per day, without the need for continual script maintenance.
Target Audience
Primary customers are enterprise teams that need to automate repetitive desktop workflows in sectors such as healthcare, finance, and SaaS product operations, especially where legacy software lacks APIs.
Features
- Self‑healing agents that detect UI changes or dialogs, adapt the automation, and continue execution
- Reflection verification that checks every action against the screen and self‑corrects before failures occur
- Deployable on Windows virtual machines, browsers, on‑premise, cloud, or Citrix with a single API trigger
- Full video replay of each automation run with contextual screenshots for precise debugging
- Automated failure alerts delivered directly to Slack or other notification channels
- Scalable architecture proven in production environments handling up to 25,000 daily interactions