Cignal Defense has expanded its machine vision AI capabilities into defense and industrial base manufacturing, with a growing focus on X-ray and CT inspection challenges linked to advanced manufacturing and non-destructive testing applications.
The company said the move extends its machine vision work beyond homeland security infrastructure and includes the launch of CignalDefense.com for defense and government customers, while CignalAI.com will serve commercial sectors including healthcare imaging and non-destructive testing.
At the center of the expansion is Cignal Engine, which the company described as a patented voxel-tensor physics and rendering environment designed for machine vision AI. Cignal developed the platform in collaboration with the U.S. Department of Homeland Security through the Silicon Valley Innovation Program.
According to the company, the platform was built to address AI training challenges such as the “cold start” problem, where models must be developed with limited initial data, and the “long tail” problem, where rare events are not sufficiently represented in training datasets.
For the inspection and NDT audience, the company’s relevance lies in its stated focus on X-ray and CT inspection of additively manufactured components within the defense industrial base. The company said this area is emerging as a growing AI challenge for defense suppliers, where machine vision systems are increasingly expected to support defect detection and inspection analysis.
Cignal said its technology has already been proven on fixed homeland security screening infrastructure and is now being extended to broader defense and security applications. Alongside autonomous systems, maritime sensing and ISR use cases, the company specifically identified defense industrial base manufacturing as a target area where AI-enabled inspection can be applied.
"The AI systems protecting this country, here and abroad, need a training ground built in America, for American mission requirements. Cignal Engine is that platform. Built in collaboration with DHS, it generates the sovereign synthetic environments that let AI teams tackle the hardest detection challenges in defense and security — drones, drugs, detonators, defects — without waiting for real-world incidents to define the threat."
— Jaclyn Fiterman, CEO, Cignal Defense
The company is exploring acoustic sensing applications, extending its synthetic data generation approach into sensing modalities relevant to undersea detection and other defense requirements.
On the commercial side, CignalAI.com will support enterprise markets including healthcare imaging, industrial inspection and logistics. The company said these sectors face similar AI development challenges, including limited access to rare-event data, regulatory constraints and the need for specialized machine vision training environments.
