Building the data backbone of
Neuro AI
Standardizing EEG signals, extracting stable cognitive representations, and powering the next generation of human-machine interfaces.
The ecosystem faces systemic barriers that slow down innovation. We solve the fragmentation.
Fragmented Hardware
EEG devices vary dramatically in electrode count, placement, and sampling rates. Cross-device analysis is nearly impossible without standardization.
High Noise & Artifacts
Signals are easily contaminated by eye blinks, jaw clenching, and motion. Teams waste enormous time cleaning data manually instead of building.
Lack of Interpretable Models
Raw EEG is useless without translation. Most teams lack embedding models and real-time processing pipelines to make sense of the data.
The NeuroBase
Solution Stack
A four-layer software intelligence platform built for performance, accuracy, and cross-device robustness.
Why it matters
We enable any organization—research labs, hardware teams, and neurotech builders—to run robust, interpretable cognitive modeling workflows.
Automated EEG Cleaning Engine
A modular pipeline combining signal processing and ML to remove artifacts, normalize sampling rates, and standardize input across multiple devices.
Cognitive Embedding Model
Self-supervised, multi-dataset embedding model that captures generalizable mental-state patterns. The core "neural fingerprint" for the platform.
Cognitive State Prediction
Built on top of embeddings to infer attention dynamics, stress levels, cognitive workload, and emotional valence in real-time.
Developer Tools (APIs & SDKs)
Interfaces that allow labs and builders to integrate Neurobase capabilities into neuroscience workflows and BCI prototyping.
Ready to standardize your neurodata?
Join the labs and companies building the next generation of BCI with NeuroBase.