Nvidia invests in French health platform Doctolib

Nvidia, the world's largest company with a valuation of $5,433 billion as of Tuesday, October 13, has entered the capital of Doctolib, a French digital health platform. The investment was announced by Nvidia's CEO Jensen Huang during a visit to Paris, where he also highlighted other investments in France.

Doctolib's recent restructuring and new funding

This follows a restructuring of Doctolib's shareholder structure in April of last year, when several international investors acquired shares in the company for nearly 300 million euros, based on a valuation of 3.6 billion euros—38% lower than the 5.8 billion euros reached in 2022.

Existing investors and Nvidia's role

Doctolib already has a range of investors including Eurazeo, Bpifrance, General Atlantic, and Accel. Nvidia's investment is expected to support the expansion of Doctolib's AI development efforts. According to Stanislas Niox-Chateau, co-founder and CEO of Doctolib, the investment will help "accelerate our hiring and AI development."

Nvidia's technical collaboration with Doctolib

Nvidia experts will also support the work of "hundreds of scientists, engineers, and designers" at Doctolib. Doctolib has been using Nvidia technologies for a year to design its own medical AI models, which are used in AI agents offered to healthcare professionals to improve care delivery.

New AI tools for patients and concerns raised

The investment will also allow the expansion of the availability of a personal AI assistant for patients. Currently tested by 400,000 French people, it will be offered to all users in 2027. However, the direct involvement of Nvidia in Doctolib has raised concerns regarding data sovereignty and management.

Doctolib's data use and future plans

In June, Doctolib stated that it did not provide user information to major American AI players. However, in July, it began using these same data for AI research without requesting user consent. Doctolib has specified that Nvidia's investment will be used to accelerate the development of open-weight and open-source models, as well as to invest further in European infrastructure that runs them.