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NES AI

NESAI offers an AI‑powered ultrasound diagnostic platform for dermatology and aesthetic medicine that detects facial fillers, collagen levels, and photo‑aging in real time. The system runs 24/7, delivering AI‑generated results that are reviewed by medical experts, enabling clinicians to personalize treatments and improve patient safety.

Barcelona, BarcelonaFounded 20237100+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Dermatology and aesthetic medicine practitioners often lack reliable, real-time information about existing skin fillers, collagen status, and photo‑aging, leading to suboptimal treatment planning and potential safety risks. Traditional ultrasound diagnostics are not continuously available and require specialist interpretation, limiting their use in routine clinical workflows.

Solution

NESAI offers an AI‑driven ultrasound diagnostic platform that operates 24/7 to detect the presence of dermal fillers, assess collagen levels, and quantify photo‑aging directly from skin ultrasound images. The system automatically generates AI analysis results, which are then reviewed by a team of medical and technology experts to produce detailed, validated reports. Clinicians receive actionable insights on substances such as silicone, hyaluronic acid, calcium hydroxyapatite, and others, enabling precise, personalized treatment decisions and enhanced patient safety. The platform integrates seamlessly into dermatology and aesthetic clinics, delivering real‑time diagnostics without the need for specialized ultrasound operators.

Target Audience

Primary customers are dermatologists, aesthetic physicians, and clinic staff who perform skin ultrasound imaging and need reliable, instant diagnostic information to personalize treatments.

Features

  • Continuous 24/7 AI analysis of facial ultrasound scans for filler detection, collagen assessment, and photo‑aging measurement
  • Automated identification of multiple filler types (silicone, hyaluronic acid, calcium hydroxyapatite, metacrylate, poly‑lactic acid, etc.)
  • Expert‑validated reporting workflow that combines AI results with medical review for high diagnostic reliability
  • Real‑time generation of detailed diagnostic reports accessible through a web interface
  • Integration-ready platform designed for use in dermo‑esthetic clinics without requiring dedicated ultrasound specialists
This profile is AI-generated and may contain inaccuracies.