We are two students building an AI healthcare company.
We live in Iran. Cash is scarce. Raising money here is hard because early startups rarely get trust.
Our plan is simple. Build a real MVP. Prove we can ship. Then get out and grow where that is possible.
If you help us now, the impact on us is huge. This is oxygen, not theater.
In our experience, lab care online still confuses people.
Patients wait too long for basic answers. They do not know what to do next. Labs repeat the same questions all day.
Many lab websites we have seen look old and leave patients alone with stress.
We start with pathology labs in Iran.
The agent is designed to live inside a lab's own website, not a separate app.
That website is where the patient AI agent will live. Not a separate fantasy app.
Patient AI agent: in development, not live yet.
The agent will help patients get what they want faster. Clear next steps. Less confusion.
It will help review their information carefully, with plain language disclaimers every time.
It will give lab doctors (planned users) useful insights so they can decide better. It will not decide for them.
The goal is a full workflow helper for clearer visibility, with humans always in charge.
Patients will move through the lab journey with less friction on the website.
We are designing for privacy first, with disclaimers that will be shown in the product.
Lab doctors (planned users) will get better visibility and suggested insights. Final judgment stays with them.
Our line on every official surface: AI supports the workflow. It does not replace licensed medical judgment.
After the patient agent proves value on the website, we build an AI-native laboratory information system.
Same promise for the lab side. Clearer visibility. Staff stay in control. The aim is better clarity, not a proved accuracy claim.
One company. Two steps. Website agent first. AI LIS second.
Two students. Serious about AI healthcare. Looking for people who believe early.
Use of funds: laptops, software, APIs, cloud, and the essential build for the patient website AI MVP, plus early scoping for the AI LIS.
This is the stage where a small check changes our trajectory.
If you have ever wanted to help founders before it looked obvious, this is that moment.