Co-Founder & CEO
Profile summary: ekwedē group • Managing Partner & CEO · BBA at Chapman University
Condu
Condu offers a non‑invasive brain‑computer interface that captures neural signals via a lightweight headset and translates them into text in real time using on‑device AI. The system provides predictive sentence completion and integrates with standard keyboards, enabling faster, hands‑free text entry for professionals and researchers. It also runs a data‑collection program to improve decoding accuracy.
Updated 4 months ago
Funding
Funding rounds are not available yet.
Founders
Rio Popper
Founder
Profile summary: Founder preserved from target-bound web evidence
Product
Problem
Typing on a keyboard limits the speed at which users can input text, creating a bottleneck for high‑bandwidth communication and task automation. Existing input methods require visual attention and manual effort, which reduces efficiency for professionals and researchers who need rapid text entry.
Solution
Condu has developed a non‑invasive brain‑computer interface that captures neural signals through a lightweight headset. An on‑device AI model interprets these signals in real time and generates text, completing sentences based on the user’s thought patterns. The system integrates with standard computer keyboards, allowing users to type without looking while the AI fills in the intended words. By translating thought directly into digital text, Condu enables faster communication and automates repetitive typing tasks. The company is currently collecting data from paid research participants to refine the technology and improve decoding accuracy.
Target Audience
Primary users include professionals, researchers, and developers who require rapid text input, as well as individuals interested in participating in neuroscience research to help improve brain‑computer interface technology.
Features
- Lightweight, non‑invasive headset that records neural activity.
- Real‑time AI decoding of brain signals into textual output.
- Predictive sentence completion driven by inferred user intent.
- Seamless integration with existing keyboard workflows.
- Data‑collection platform for paid research participants in San Francisco.
- High‑bandwidth communication channel for task automation.