Mind Storms provides a brain‑computer interface that translates neural activity from affordable EEG headsets into real‑time text and natural‑sounding speech. The platform uses deep‑learning and generative AI to decode user intent, offering an accessible communication layer for patients with severe motor impairments and integration tools for assistive technology developers.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals with locked‑in syndrome, ALS, and other neuro‑motor disabilities often cannot produce speech or text because they lack reliable, affordable ways to convert neural activity into communication.
Solution
Mind Storms offers a brain‑computer interface that captures brain‑wave signals via compatible medical or commercial headsets and translates them into spoken language and text using deep‑learning models and generative AI. The system processes raw neural data in real time, generating natural‑sounding speech or typed output without requiring extensive calibration or specialist operators. By supporting both clinical‑grade and consumer‑grade hardware, the platform lowers the cost barrier and enables broader adoption of assistive communication technology. The solution is delivered as an end‑to‑end software stack that can be installed on standard computers, providing users with a seamless, affordable way to express thoughts directly from their mind.
Target Audience
Primary customers are healthcare providers, rehabilitation centers, and caregivers serving patients with locked‑in syndrome, ALS, and other severe motor impairments who need reliable assistive communication tools.
Features
- Real‑time neural signal acquisition from a range of medical and commercial headsets
- Deep‑learning pipelines that map EEG patterns to phonetic and textual representations
- Generative AI speech synthesis producing natural‑sounding voice output
- On‑device processing options for low latency and privacy‑preserving operation
- Simple user interface that requires minimal training and no specialist operator
- Compatibility layer for easy integration with existing assistive technology ecosystems