Portfolio
Our flagship product, NIRWizard, leads the list — alongside open-source tools for fNIRS and signal processing.
An all-in-one fNIRS processing, analysis and visualization desktop application, built on a Rust-Tauri + Svelte stack and sold as a licensed subscription. Design, development, licensing and distribution.
Research tools behind NIRWizard — built in the open in Python.
Functional and effective connectivity analysis for fNIRS in one extensible package — estimators from Pearson and partial correlation to coherence, phase-locking value, wavelet coherence and Granger causality, with surrogate/FDR significance testing, graph-theoretic metrics, visualization and reporting.
A lightweight Python wrapper around MNE-Python and MNE-NIRS with a simple, chainable API for fNIRS preprocessing and visualization — motion correction, hemoglobin conversion, filtering, spectral views, and export to SNIRF/CSV.
$ pip install neuropipeline A Python implementation of the COFRE (Complex-Pole Filter Representation) algorithm for power spectral density estimation. A bank of complex-pole IIR filters handles non-stationary and short signals better than FFT, with both batch and streaming analysis.
$ pip install cofre-spectrum Tell us what you're working on and we'll see if we can help.