platoseed
Foundation Model for the Brain
Understand & control neural syntax.
Piramidal aims to combine in-vivo and in-silico intelligence to advance brain-related understanding and capabilities. The company presents itself as bridging biological and computational approaches in neuroscience with a seed investor backing.
Piramidal positions itself as a bridge between in-vivo and in-silico intelligence, leveraging a combination of neuroscience expertise and computational approaches to support brain research and related applications. Specific product mechanics are not described in the provided text beyond the concept of bridging in-vivo and in-silico work, with leadership and advisory support from neuroscience and medical mixed reality figures.
Who itβs for: Researchers and practitioners in neuroscience, neurology, brain-inspired computing, medical research institutions, and potential enterprise customers seeking brain-computing integration tools.
Seed funding disclosed (led by Y Combinator, Lionheart Ventures, Adverb VC); notable advisors and investors listed
Founder and CEO at Piramidal. Spent four years at IQVIA shipping foundational AI code to production scaled for pharma and healthcare clients. Have conducted EEG research for 12 years, authored peer reviewed publications, spent more than four years in research hospitals conducting long-term EEG recordings, reviewing EEG recordings with expert epileptologists, participated in brain surgeries, and built capability around the brain. King's College London alum.
co-founder and all things product and business @piramidal. previously product lead at google & spotify for ai and healthcare. co-founded gyftgo and scaled to $1m arr. At google, owned chrome os monetization from $0 to $300m arr.
Get instant diagnosis for the vast majority of neurological conditions using our Foundational AI.
A startup builds a brain foundation model trained on EEG data to understand and detect neurological activity, with a first product that acts as a real-time copilot for epilepsy diagnosis to speed up and standardize EEG review. The model is designed to be fine-tuned for broader neurological diagnoses and other brain-waveβrelated use cases for clinical and research settings.
From the original launch (Feb 2024) β may be outdated.
Formerly βpiramidal.aiβ

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