Skip to main content
AE

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.

San Francisco, United States450+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

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
This profile is AI-generated and may contain inaccuracies.