SquareMind Raises $18M in Funding to Launch AI-Driven Robotic Skin Imaging Platform in US and Europe

Insider Brief

  • SquareMind raised $18 million to support the U.S. and European launch of Swan, its robotic full-body skin imaging platform designed for dermatology practices.
  • The round was led by Sonder Capital, co-founded by Fred Moll, with participation from the Deeptech 2030 Fund, Bpifrance, Adamed Technology, Calm/Storm Ventures and Teampact Ventures.
  • Swan uses a robotic arm to capture standardized, full-body dermoscopic images in minutes and pairs them with AI software that helps dermatologists track new or changing lesions over time while keeping final clinical decisions with the physician.

France-based medical robotics company SquareMind has raised $18 million, including previously undisclosed pre-Series A financing, as it prepares to launch its robotic skin imaging platform for dermatology practices in the United States and Europe.

According to the company, the round was led by Sonder Capital, a California venture fund co-founded by Fred Moll, with participation from the Deeptech 2030 Fund, managed by a Bpifrance initiative on behalf of the French government, along with Adamed Technology, Calm/Storm Ventures and Teampact Ventures.

“We are excited to partner with Sonder Capital and all our investors as we ready ourselves to bring Swan to market and respond to the strong traction we are seeing from practices and hospitals,” co-founder and CEO Ali Khachlouf said in the announcement. “Dermatologists are operating under increasing pressure, facing strong cognitive load and fatigue. Our technology acts as their companion, helping to reduce this burden, optimize their time, and support comprehensive documentation so they can stay focused on patient care and clinical decision-making.”

What Will SquareMind Do With The Funding?

The company said the funding will be used to expand its commercial, engineering and customer support teams ahead of the near-term rollout of Swan, its robotic full-body skin imaging system designed to help dermatologists perform faster and more standardized skin exams.

According to Khachlouf, skin screening is the highest-volume procedure in dermatology, but demand continues to outpace capacity as aging populations drive more patients into clinics. Long wait times and short appointment windows can make it difficult for physicians to fully document changes in a patient’s skin over time, a critical step in detecting melanoma and other skin cancers early.

SquareMind says about 80% of melanomas are newly appearing lesions rather than changes to existing moles, making full-body documentation especially important.

Swan is designed to automate that process. The system uses a robotic arm to capture standardized, full-body dermoscopic images of a patient’s skin, creating a level of detail typically associated with close-up mole examinations across the entire body rather than isolated spots.

The patient stands in a private exam room while the robot moves around them, guided by visual and audio prompts. The session is contactless and completed in a matter of minutes, according to the company.

The platform is paired with AI-based review software that helps physicians identify and track new or changing lesions over time, though final clinical decisions remain with the dermatologist.

SquareMind describes the system as an “augmented dermatoscope,” intended to reduce physician workload rather than replace clinical judgment. The company said the goal is to help dermatologists manage rising patient volumes while improving documentation and consistency across exams.

The Swan platform is already FDA-listed in the United States and CE-marked in Europe, allowing commercial use in both markets.

Image credit: SquareMind

Need Deeper Intelligence on the AI Market?

AI Insider's Market Intelligence platform tracks funding rounds, competitive landscapes, and technology trends across the global AI ecosystem in real time. Get the data and insights your organization needs to make informed decisions.

Related Articles

apple logo on blue surface
Why Apple’s Security Wake-Up Call is Just the Tip of the AI Iceberg 

Guest Post by Faryam Asif, Chief Technology Officer at Shufti Apple recently made headlines with a major shift in strategy: the tech giant will begin

KAIST Develops Robot Learning Technology Capable of Precisely Imitating Even ‘Rough’ Demonstrations

Insider Brief KAIST researchers say they have developed a robot AI model that can turn rough human demonstrations into more precise robot motions, potentially reducing

a computer circuit board with a brain on it
Understanding AI Token Economics: Why Supply Matters

There is a new unit of account in the artificial intelligence industry, and it is not the GPU, the model, or the API call. It

Stay Updated with AI Insider

Get the latest AI funding news, market intelligence, and industry insights delivered to your inbox weekly.

$ 0 M

Seed round tracked

Gitar — Code Validation

Get the Weekly Briefing

Funding analysis, market intelligence, and industry trends delivered to your inbox every week.

Need bespoke intelligence?

Our team combines real-time data with decades of sector experience to guide your decisions.

Subscribe today for the latest news about the AI landscape