Batteries are the invisible engine of the modern world, yet inspecting them remains a destructive, slow, and costly bottleneck. Liminal is betting that sound waves and machine learning are the key to unlocking the next generation of battery quality control.

"Liminal isn't just analyzing batteries; they are listening to the microscopic flaws that others miss."

• Ultrasound imaging detects internal structural defects invisible to the eye.
• Machine learning algorithms interpret acoustic data to predict cell performance.
• Scalable solutions designed for high-volume manufacturing lines.
• Focus on improving cost, safety, and yield simultaneously.

With a lean team of 12 and $1M in revenue, Liminal is operating in the high-stakes intersection of deep tech and hardware. Their approach suggests a shift in how we think about manufacturing: moving from physical destruction to digital insight.