Making BCI research
accessible to everyone
BCINexus is a professional desktop platform that puts the full power of brain-computer interface research in the hands of every neuroscientist, without cloud lock-in, without code barriers, without complexity.
9
Core modules
14+
File formats
16
Signal features
100%
Local processing
Built on four pillars
Our design philosophy from day one.
Local-First Processing
Every analysis, every model, every computation runs directly on your machine. Your data never leaves without explicit action.
Research-Grade Accuracy
Built on proven signal processing standards, MNE, TDDR, Beer-Lambert, ICA, with full transparency and reproducibility.
Visual Workflow Design
NeuralFlow lets you design complete BCI pipelines on a canvas without writing code, then compile and share as .nflow files.
Community-Powered
Browse, import, and publish paradigms from a global library of researchers. Accelerate your work by building on others'.
Our journey
From prototype to platform.
2023 — Foundation
Started building a multimodal biosignal analysis platform from scratch. First working prototype handled EDF import, local EEG preprocessing, and basic signal filtering. The core goal from day one: fully local, fully private, research-grade.
2023 — Signal Core
Built the signal preprocessing and filtering engine covering bandpass, notch, artifact rejection, and spectral analysis. Added channel quality scoring, bad-channel detection, and flexible data import and export across common biosignal formats.
2024 Q1 — NeuralFlow
Shipped NeuralFlow, a visual AI pipeline builder where you connect preprocessing, feature extraction, and model blocks on a canvas without writing code. First drag-and-drop experiment design for BCI workflows, compiling to portable .nflow files.
2024 Q2 — Multimodal Suite
Added full fNIRS support (SNIRF, Beer-Lambert, TDDR) and EMG pipelines alongside EEG. BCILattice became a proper EEG, EMG, fNIRS workflow suite, one environment handling the full range of biosignal modalities.
2024 Q2 — ML Integration
Integrated machine learning and deep learning into the pipeline: EEGNet, Transformers, LSTM, and custom model architecture support via PyTorch. Added cross-validation, benchmarking, and automated classification reports out of the box.
2024 Q3 — Analysis Suite
Released the Analysis Suite: 16-feature real-time extraction, advanced statistical and spectral analysis, interactive confusion matrix, channel selection tools, and Explainable AI with saliency maps and model interpretability outputs.
2024 Q4 — Community & Reproducibility
Community Hub launched with multi-paradigm BCI workflow sharing via bcilattice:// deep-link import. Added publication-ready visualizations and reproducible neuroscience workflow exports so research can be shared and rebuilt exactly.
2025 Q1 — Research Scale
Shipped subject-wise experiment management and multi-subject experiment comparison. Teams & Cloud added shared dataset libraries with SHA-256 integrity verification, bringing collaborative reproducible workflows to research groups.
2025 — Platform
BCILattice is now a full end-to-end neurotechnology platform, a unified environment for biosignal computing from raw signal import through preprocessing, feature extraction, model training, and one-click community publish. Fast prototyping for neuro AI, all local, all private.
Start for free today
All 9 modules, unlimited local experiments, and community access, no credit card required.