Neural recall, reimagined

Turn Brain Activity into Meaningful Context

CogniX Theory is an early-stage AI memory companion exploring how non-invasive EEG can connect moments of focus and learning with meaningful digital context.

Join Early Access

Explore the Prototype

Live EEG

256 Hz · 4 channels

TP9

AF7

AF8

TP10

Current Prototype

Live Muse 2 EEG Streaming

Four-Channel Signal Recording

Relaxed vs. Focus Experiments

EEG Band-Power Analysis

Sliding-Window Session Comparison

CURRENT RESEARCH

From EEG Signals to Measurable Cognitive Patterns

CogniX is building and testing an experimental workflow for capturing, processing, and comparing non-invasive EEG data across controlled cognitive tasks.

Live EEG Capture

Stream four-channel EEG data from Muse 2 at 256 Hz.

Completed

Signal Recording

Record synchronized EEG sessions for repeatable experiments.

Completed

Signal Processing

Apply filtering and prepare neural signals for analysis.

Completed

Controlled Experiments

Compare relaxed and mental-arithmetic sessions using a standardized protocol.

In Progress

Band-Power Analysis

Measure Theta, Alpha, and Beta activity across channels and sessions.

In Progress

Sliding-Window Comparison

Track short-term changes within sessions using window-based analysis.

In Progress

How CogniX Theory Works

An experimental workflow for connecting brain activity with meaningful digital context.

STEP 1

Capture

Receive live four-channel EEG signals from a supported non-invasive wearable.

Available Today

STEP 2

Organize

Synchronize brain activity with notes, conversations and digital context.

In Development

STEP 3

Understand

Explore meaningful cognitive patterns using signal processing and AI.

Research

STEP 4

Recall

Help users rediscover important moments at the right time.

Future Vision

WHY COGNIX?

A memory layer for ambitious minds

Built for Researchers

Explore cognition with structured, searchable signal context.

Designed for Knowledge Workers

Recall ideas, decisions, and conversations without breaking flow.

Privacy First

Your neural archive should be controlled by you — not a platform.

Personalized Intelligence

Researching how future personalized models could adapt to individual cognitive patterns and context.

Future Vision

Compatible with Consumer EEG Devices

CogniX Theory is designed to work with accessible non-invasive EEG hardware today and new wearable categories as they emerge.

Muse 2

Future wearable support

FOUNDER

Built at the Intersection of Engineering, AI, and Neuroscience

Negar Kalantari

Founder & Builder, CogniX Theory

Negar is an electrical engineer and software developer building CogniX Theory to explore how non-invasive EEG and AI can support cognitive context and future memory tools. She is currently developing the prototype, running controlled EEG experiments, and validating the signal-processing workflow in Toronto, Canada.

Electrical Engineering

Software Development

EEG + AI Research

Ready to Build the Future of Human Memory?

Join the early-access list for research updates, prototype testing, and future pilot opportunities.