Applied Electrodynamics
Applied Electrodynamics is developing an imaging platform that makes solid objects appear transparent, allowing users to visualize internal structures without disassembly. The system leverages advanced computational imaging techniques to capture and render hidden geometry in real time, enabling applications such as non‑destructive inspection, medical diagnostics, and industrial quality control.
- Digital Health
- Hardware
- Industrial Automation
- Medical Devices
Funding
Raised to date
$500KRaised 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
Inspecting the interior of solid objects typically requires disassembly, invasive procedures, or expensive specialized equipment, which can be time‑consuming, risky, and costly for both industrial and medical contexts.
Solution
Applied Electrodynamics provides an imaging platform that uses advanced electrodynamic sensing combined with computational reconstruction to render solid matter effectively transparent. The system captures high‑resolution, real‑time cross‑sectional images of an object's interior without physical intrusion. By converting raw electrodynamic data into detailed volumetric visualizations, it enables engineers and clinicians to assess hidden structures instantly. The platform supports a range of use cases, from non‑destructive industrial inspection to bedside medical diagnostics, reducing reliance on destructive testing and invasive imaging methods.
Target Audience
Primary customers include industrial engineers responsible for non‑destructive testing of components and medical professionals seeking non‑invasive diagnostic imaging.
Features
- Electrodynamic sensor array that penetrates solid materials to acquire internal signal data
- Real‑time computational reconstruction pipeline delivering high‑resolution cross‑sectional images
- Software interface for interactive 3D visualization and slice navigation of opaque objects
- Scalable hardware design adaptable to various object sizes and material types
- Integration APIs for embedding imaging data into existing inspection or clinical workflows