Cogitat develops AI-driven software that decodes electroencephalogram (EEG) signals to convert brain waves into digital commands, enabling seamless interaction with devices. This technology addresses the limitations of existing EEG systems by providing a robust, device-agnostic solution that enhances accessibility in virtual reality and wearable applications.
Funding
$680K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IUFounders
Product
Problem
Existing electroencephalogram (EEG) systems often struggle to reliably translate brainwave data into actionable digital commands, particularly in real-world scenarios where signal quality can be inconsistent. Current EEG decoding software lacks the robustness and adaptability required for seamless integration with virtual reality (VR) and wearable devices, hindering widespread adoption.
Solution
Cogitat offers an AI-powered software solution designed to decode EEG signals and convert brain waves into digital commands for device interaction. The software employs advanced machine-learning algorithms trained on real-world EEG data to ensure robustness against signal quality issues, such as poor sensor contact or hardware failures. Cogitat's technology is device-agnostic, enabling seamless integration with various EEG headsets and sensor configurations, including those used in VR and wearable applications. By eliminating the need for lengthy calibration sessions, Cogitat facilitates plug-and-play brain-computer interaction, making the technology accessible to a broader range of users, including those with physical impairments.
Target Audience
The primary target audience includes developers of virtual reality (VR) applications, manufacturers of wearable devices, and researchers in the field of brain-computer interfaces (BCIs).
Features
- AI/ML-powered brainwave decoders trained on real-life EEG data
- Device-agnostic technology compatible with any EEG headset and sensor configuration
- Robustness to real-world EEG signal quality problems
- Person-independent brainwave decoders for plug-and-play interaction without extensive calibration
- Enables inclusive Virtual Reality applications
- Software supports scalability in wearable devices