Andrei Blaj, Medicai: Imaging at the Power of AI

Medicai’s co-founder outlines how the company evolved from early AI innovation in dermatology to a global cloud imaging platform managing over 2 million studies and rapidly expanding in the United States.

Summary

Medicai was founded after the team’s experience with SkinVision, an AI-powered dermatology app with over 1.2 million downloads, highlighted the deeper problem of limited access to imaging data. Today, the platform manages more than 2 million studies for nearly 100 organizations worldwide and is accelerating its U.S. expansion through AI-enhanced workflows, cloud infrastructure, and multi-specialty collaboration tools.

Publishing date:

October 6, 2025

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Initially, the founders developed an application that helped detect skin cancer, reaching over one million downloads and attracting €15 million in investment. Building on that experience—and with strong backgrounds in entrepreneurship, medicine, and technology—they founded Medicai, a startup that digitizes access to medical imaging. We spoke with Andrei Blaj, Co-Founder & COO of Medicai, about the platform that now manages more than 2 million imaging studies for organizations worldwide and about the company’s growth strategy in the U.S. market.

What’s the story behind Medicai?

Medicai began with the founders’ previous collaboration—Mircea Popa, Alexandru Artimon, and Andrei Blaj—on SkinVision, a mobile app that reached more than 1.2 million downloads and helped detect roughly 50,000 skin cancer cases globally. After that success, between 2017 and 2018 the team started exploring the medical imaging space, an area where technology could drive meaningful change.

At the time, artificial intelligence was gaining momentum in healthcare, yet they quickly discovered that the true problem wasn’t the algorithms—it was access to data. Medical images were still being stored and transferred almost exclusively on CDs, making collaboration slow and inefficient. That insight led to the creation of Medicai: a secure cloud infrastructure that enables fast access to medical imaging data and supports complex workflows such as multidisciplinary tumor boards, remote evaluations, and second opinions.

Today, the platform manages more than 2 million imaging studies for nearly 100 organizations worldwide. The initial investment was €100,000 through Techcelerator (GapMinder).

How does the platform work? What solutions do you offer?

Medicai provides both cloud-based and on-premises infrastructure for storing medical imaging. Historically, the servers used for this purpose have been known as PACS (Picture Archiving and Communication Systems). Our solution is multi-server, multi-location, and can scale effortlessly to millions of imaging studies. It is fully interoperable with other software systems thanks to the Medicai API and an SDK-based set of components that can be integrated into other platforms.

Our web application for physicians gives them access to medical data, sharing capabilities, and DICOM viewing directly in the browser.

We also offer a mobile app for doctors (iOS and Android), a patient-facing web application, and infrastructure for building automated imaging workflows between multiple systems and AI agents.

With these components, we digitize medical workflows such as:

  • sharing imaging studies with patients for imaging centers
  • enabling patients to view MRI, CT, and other studies directly in the platform
  • organizing multidisciplinary tumor boards (oncology, neurology)
  • collaborative case discussions and shared document creation with electronic signatures
  • second opinions between smaller hospitals and larger, specialized centers
  • teleradiology and AI-enhanced radiology workflows (dictation, structured reporting templates, automatic template filling with AI agents)
  • medical document exchange for personal injury lawsuits in the U.S.
  • remote evaluation and monitoring for specialized and chronic care patients

What are the costs of your services?

Our business model is subscription-based. Pricing starts at $179/month, a suitable plan for small clinics, and can reach several thousand dollars per month depending on data volume and features. Advanced plans include access to the Medicai API, integration with medical systems (EMR, EHR) or business tools (CRM, email, calendaring), as well as connections to AI agents (ChatGPT, Gemini, Claude).

Who uses Medicai’s PACS services and in which countries are you present?

We operate in:

  • Romania (around 35 clients)
  • United States (25 clients, up from 2 at the beginning of the year)
  • Several clients in the UK, India, and Spain

Thanks to strong international online presence, we also have advanced discussions with leads in Germany, France, Costa Rica, Brazil, Saudi Arabia, and Colombia.

Our clients include public/private hospitals, specialized medical clinics (imaging, oncology, neurology, orthopedics), U.S. law firms specializing in personal injury, and pharmaceutical companies.

How do you approach the U.S. market?

Entering the U.S. became possible through a well-calibrated digital strategy focused on SEO and online advertising (Google Ads, Bing Ads). In the past 12 months, traffic on www.medicai.io has grown tenfold, a performance highlighted in an Ahrefs case study: “10x Traffic by Going Global with SEO: The Medicai + Ahrefs Success Story.” This strategy now generates several hundred leads per month, with excellent conversion cycles (1–2 months).

We plan to continue strengthening this digital approach and participate in advanced online-marketing conferences with a focus on emerging LLM-based platforms such as ChatGPT, Gemini, Claude, and Perplexity.

What are your business goals for the end of 2025?

A major goal is for the U.S. market to surpass Romania in both number of clients and monthly recurring revenue (MRR). We estimate we will exceed 50 U.S. clients by the end of the year.

In Romania, we’re focusing on successfully delivering PNRR-funded projects in partnership with public hospitals. Our target is to complete between 10 and 15 implementations by the end of 2025.

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