PONS built software that processes images already owned by users to compute lesion boundaries and internal structure using physics-based methods, generating up to 50 distinct versions from each source image.
Published
Signal category
Products & Services
Quote
“We built software that works on the images you already own. It processes each scan with physics-based methods to make lesion boundaries and internal structure clearer, and from each source image it computes up to 50 distinct, physics-consistent versions.”
— PONS team
Company
PONS
Bringing Ultrasound to the mass market with AI to provide high-quality ultrasound data for early diagnosis of cancer
- Industry
- Software Development
- Location
- Newark, US
- Company size
- 12 employees
Our mission at PONS is to optimize access to healthcare and improve the quality of life for all individuals, irrespective of their location, race, or income. We aim to ensure that no one loses their loved ones prematurely due to preventable diseases. To achieve this, we enhance the capabilities of widely available ultrasound devices by integrating them with cloud-connected artificial intelligence. This innovation addresses the common limitations of imaging that hinder early disease detection and preventive screening. Through software advancements, we unlock a new era of proactive, personalized care, enabling healthcare providers to deliver effective and timely diagnostics. PONS` device-agnostic, patented software and AI models to optimize ultrasound imaging quality, augment tissue contrast, and reduce signal noise while revealing anatomical and pathological features, structural delineations, and microenvironmental context that remain undetectable with conventional ultrasound systems. PONS` patented technology can implement digital contrast without needing chemical contrast injected into the patients, revailing the surrounding on the earliest stages, Our proprietary deep learning algorithms quantitatively analyze temporal variations in morphological and spatial parameters—including tissue geometry, volumetric dimensions, location, surrounding and positional dynamics—to generate AI-powered diagnostic risk assessment reports.
Founded 2023