Piramidal raises $6M to advance AI brainwave analysis and improve diagnoses of neurological conditions

Source: SiliconANGLE

This round was led by Y Combinator, with the participation of several other venture capitalists, including Adverb Ventures, Lionheart Ventures, as well as angel investors such as the founders of Intercom Inc., PlanGrid Inc. and Guilded Inc.

The startup is developing what it terms a “barrier-breaking AI model” that’s designed to help neurologists better assess brainwave data. It hopes that its AI model will speed up and improve the accuracy of brain injury diagnoses and reduce patient waiting times.

Piramidal says it has used cutting-edge machine learning techniques to develop a proprietary AI model that can analyze the results of electroencephalography or EEG tests, which are used by doctors to measure electrical activity in the brain. EEG tests are performed in order to assess the extent of brain injuries and diagnose brain-related diseases. The tests involve mapping the patient’s brainwaves, after which a neurologist will manually inspect the data to try and determine what’s wrong.

“The real value though, is that generative AI models like Piramidal’s have the ability to look back at vast amounts of longitudinal data and identify suspicious signs in older EEGs that didn’t previously raise any flags,” Holger Mueller of Constellation Research Inc. said. “Humans will never have the capacity and willingness to study all of this data, but AI software can, and it will potentially save lives by doing it.”

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