Founder
MS
Mind Storms
Shutdownmidstorms.co.uk
Website unreachable since Oct 20, 2026
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.
- Artificial Intelligence
- Developer Tools
- Digital Health
- Healthcare Technology
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Individuals with locked‑in syndrome, ALS, or other neuro‑motor disabilities often cannot produce speech or text, leaving them unable to communicate with caregivers, clinicians, or digital devices. Existing brain‑computer interface solutions are typically expensive, require specialized hardware, and are not widely accessible.
Solution
Mind Storms offers a brain‑computer interface platform that converts neural activity captured by affordable headsets into text and spoken language. The system combines neuroscience signal processing, deep‑learning models, and generative AI to decode user intent in real time. It supports both medical‑grade and commercial headsets, enabling flexible deployment in clinical settings, home use, or research environments. Processed signals are transformed into natural‑sounding speech or typed output, allowing users to interact with computers, communicate with others, and control assistive applications without physical movement.
Target Audience
Primary customers are healthcare providers, rehabilitation centers, and caregivers serving patients with severe motor impairments, as well as developers of assistive technology seeking an accessible BCI communication layer.
Features
- Affordable, lightweight EEG headsets compatible with the platform for easy adoption
- Real‑time neural signal acquisition and preprocessing pipeline optimized for low‑latency decoding
- Deep‑learning models trained on brain‑wave patterns to map intent to text and speech
- Generative AI voice synthesis that produces clear, natural‑sounding spoken output
- API and SDK for integration with third‑party software, assistive devices, and custom applications
- Cloud‑based analytics optional for continuous model improvement and remote monitoring