ARVICA

Patient AI for lab websites. Then an AI-native LIS.
Arshia Farahani, CTO Parsa Khosravani, CEO Two student founders. Pre incorporation. Raising about $10,000 to $15,000 to build the MVP.
Dark healthcare technology product hero with soft violet light
ARVICA · investor deck · 1 / 10
An honest founder note.

Why this round
matters

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.

Two laptops on a desk late at night, warm lamp light
ARVICA · investor deck · 2 / 10
The problem we feel every day.

Patients need
a better path

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.

Modern pathology lab reception desk with a patient portal on screen
ARVICA · investor deck · 3 / 10
A lab website, ready for the agent.

The product
surface

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.

Laptop on a desk showing a dark mode laboratory website
Illustrative mockup
ARVICA · investor deck · 4 / 10
In development. Being built to help, not to replace people.

Patient AI
on the website

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.

Phone and tablet showing a calm patient AI chat on a lab website
In development · not live
ARVICA · investor deck · 5 / 10
Clear limits. Intended value.

Designed to be safe for patients
and useful for doctors.

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.

Clinician workstation with a calm insights panel on a dark dashboard
ARVICA · investor deck · 6 / 10
Planned. Not built yet.

Next product:
an AI-native LIS

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.

Concept mockup of an AI-native laboratory information system dashboard
Concept · planned, not built · illustrative data
ARVICA · investor deck · 7 / 10
From MVP to a company that can grow.

The path

We will not invent customers, revenue, or live AI claims.
01
Ship the patient AI MVP on a partner lab's website.
02
Keep humans in the loop and keep every claim honest.
03
Build an AI-native LIS.
04
Leave Iran when we can and expand where building is possible.
ARVICA · investor deck · 8 / 10
Two founders. One mission.

Who is
building this

Arshia Farahani
Co-founder and CTO
linkedin.com/in/arshia-farahani
Parsa Khosravani
Co-founder and CEO
linkedin.com/in/parsa-khosravani-27a763436

Two students. Serious about AI healthcare. Looking for people who believe early.

Abstract sculptural mark of two leaning arcs with violet light
ARVICA · investor deck · 9 / 10
About $10,000 to $15,000.

The ask

$10k to $15k

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.

Laptops
Machines that can actually build and test
Software
Design, dev and collaboration tools
APIs
Model access for the patient agent
Cloud
Hosting the MVP
ARVICA · investor deck · 10 / 10
AI supports the workflow. It does not replace licensed medical judgment.