NSF SBIR Phase I Award #2126364
The Science Behind PalBud.
Backed by the National Science Foundation, PalBud is developing the world's first wearable device that uses machine learning to predict meltdowns in autistic children — before they happen.
The problem
Autism care has been waiting for technology that meets the moment.
children in the US have autism
of autistic children experience meltdowns regularly
wearable devices exist specifically for autism — until now
How the BUD device works
From biometric signal to caregiver action — in seconds.
Biometric sensors
Data stream
ML model
Caregiver alert
Prevention
Continuous heart rate monitoring
Electrodermal activity (skin conductance)
Movement & behavioral pattern analysis
Personalized ML model — learns each child's unique biometric signature
Research impact
Why This Matters Beyond Autism.
This technology may also be adapted for individuals with PTSD and panic disorders — giving millions of people early warning of distressing episodes.
Federal Award
Award #2126364
NSF SBIR Phase I · Focus: Machine Learning + Wearable Biometrics for Autism
- Federally vetted
- Peer-reviewed
- Open research
- US-based
Get in touch
Researchers, clinicians, and investors — let's talk.
Interested in partnerships, clinical pilots, or learning more about the science behind BUD? Drop us a line.
Or email us directly at hello@getpalbud.com