PONS develops device-agnostic, patented software and AI models to enhance medical imaging quality, particularly for ultrasound. This technology elevates basic scans to expert-level resolution, enabling accurate tissue characterization and noise reduction without new hardware. The platform creates longitudinal imaging data for early disease risk assessment and supports drug development and research outside traditional hospital settings.
Funding
$125K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Conventional ultrasound imaging faces limitations in image resolution, system cost, and ease of use, hindering widespread preventive screening. Low-cost ultrasound devices often lack the clarity needed for early disease detection, while advanced systems are prohibitively expensive for many healthcare settings.
Solution
PONS offers device-agnostic AI-powered software designed to enhance ultrasound image quality and provide autonomous risk assessments for disease progression, particularly outside of traditional hospital environments. The software employs deep learning algorithms to improve image resolution, tissue contrast, and noise reduction, enabling healthcare professionals to detect early disease indicators and monitor patient health remotely. By improving the clarity and detail of ultrasound images, PONS facilitates more accurate diagnoses and supports proactive patient management. The system aims to transform standard ultrasound into a high-quality data source, unlocking continuous ultrasound data for mapping disease progression years before the onset of symptoms.
Target Audience
The primary target audience includes healthcare professionals, particularly those in outpatient care settings, seeking to enhance their diagnostic capabilities with accessible and affordable AI-powered medical imaging solutions.
Features
- AI-driven image enhancement for improved tissue representation and clarity in ultrasound, point-of-care ultrasound, and X-ray imaging
- Smart navigation feature that uses AI to guide end-users on how to move the ultrasound probe for optimal scanning of anatomical parts
- AI-driven risk assessment system that provides reports on disease progression
- Capability to generate disease progression models to identify critical intervention points
- Ability to predict individual disease trajectories using patient screening data
- Aids in patient triaging to reduce unnecessary hospital admissions
- Facilitates the development of new ultrasound indices that correlate with outcomes
- Provides early detection of adverse drug reactions (ADRs)