In this episode, JD talks with Kris (Pyramidal) about building a time-series foundation model trained on millions of hours of EEG, why healthcare AI is defensible but slow, and why regulation, reimbursement, and incentive misalignment are the real bottlenecks.
The Bet: A foundation model for EEG brainwaves that makes brain disorder diagnosis scalable, starting with epilepsy and ICU monitoring.
We cover Kris’s path (finance → Spotify audio wave detection → Google healthcare → founding Pyramidal), how they chose the initial wedge, what “unsupervised” training looks like for brain activity, why in-person selling is back, and what “human-computer symbiosis” could look like longer-term (implants, consumer neurotech, multi-modal models).
Takeaway: If you can clear regulation + reimbursement, the tech becomes defensible and the market becomes enormous.