Company and Stock Identity

How Avicenna.AI Connects to the Public Market

Company structure
Private company
Market access
No current public listing was verified.
Research focus
Each CINA product carries its own clearance, granted in a different year, so match the product you are buying to the clearance that covers that finding on that scan type rather than reading the clearance list as one approval. The company publishes a clinical publications page, which is the place to start on measured performance.

Avicenna.AI was founded in 2018 and incorporated in La Ciotat, France, by Cyril Di Grandi and Peter Chang, MD, who are listed as chief executive and chief medical officer. The company's own pages do not name investors or state funding amounts. No ownership change was found as of October 10, 2026.

Open the public company market data feed for the full directory, ownership relationships, stock identifiers, and dated snapshots.

First-Hand Company News

Latest Developments

No dated update is in the editorial file yet. Use the verified company sources below and check the profile verification date before relying on an older announcement.

See company developments across the healthcare AI market.

Careers and Qualifications

What to Know Before Applying

Work areas: Deployment and technical support sits under customer success, alongside the AI research, regulatory and engineering work behind a cleared imaging product. The team shown on the company page is small, around two dozen people.

Qualification signal: Experience taking a regulated imaging product through clearance and into a hospital imaging workflow counts for more here than general AI coursework. The open role the company lists is onsite in La Ciotat, France, so location matters.

Check current roles at Avicenna.AI. A careers page is the source of record for openings. This profile does not claim a role is open unless the company lists it now.

Related Healthcare AI Roles

Training to Compare

Buyer Snapshot

Best-fit buyer
Radiology leadership, pathology leadership, clinical informatics, imaging IT, patient safety, and procurement
Primary use case
Triage studies, flag findings, support image interpretation, and coordinate time-sensitive care
Typical deployment
Usually integrated with PACS, RIS, worklists, or digital pathology systems and monitored inside the clinical workflow

Evidence questions

  • Was the tool tested prospectively and independently on comparable equipment and patients?
  • What are sensitivity, specificity, false positive workload, and time-to-action effects?
  • How does performance vary by site, scanner, demographic subgroup, and disease prevalence?

Regulatory and workflow questions

  • Which FDA authorization covers the exact product version, modality, and intended use?
  • Who retains final clinical responsibility and how is disagreement with the AI handled?
  • What post-deployment monitoring and material update notification does the vendor provide?

Data and contract questions

  • Where are images and derived data processed and retained?
  • Which PACS, RIS, pathology, and EHR integrations are supported in production?
  • Can data be used for model improvement, and what controls govern secondary use?

Evidence and Regulation

FDA Clearances on Record

No clearance is linked in this directory. That is not automatically a mark against the company. Some products support the people doing the work instead of reading a patient image or signal themselves.

What the Published Research Says About This Work

Independent studies on the work itself help separate category evidence from one company's claims.

First-Hand Sources