intuitive and powerful

instinct

ecosystem

Nexstem’s software platform comes with robust capabilities to help you get the best insights out of your bio-signal data.

Explore our technology platform

Explore Apps

Developer Tools

experience an OS custom designed for BCI

zero latency with
on-device processing

Built on a Debian-based architecture, Instinct OS runs natively on the headset for a zero-latency experience delivering minimum noise bio-signal data with a smooth interface for large-scale analysis.

8 Core

ARM processor

6 TOPS

ARM processor

64GB

Internal Storage

Streams app

real-time EEG data visualizations

View, record and playback EEG data streams. Apply data filters in real-time to get insights.

Plot Types

Fast Fourier Transform

Real Time

Bandpower

Time Frequency Spectogram

Data Filters

FIR Filter

IIR Filter

Stream and record with ease

Experience a simple and intuitive interface to record brain data streams seamlessly. Control data from individual channels and visualize them in real-time.

1024 hz

max
sampling rate

Playback recorded stream

Access and playback all your recorded streams data. Apply filters to get insights on your recordings.

In-built stream plots for unique insights

Visualise your stream data in standard plot formats like FFT, Bandpower and Time Frequency Spectogram right from inside the app.

Headset Manager app

direct access to hardware controls

Get comprehensive control over hardware parameters with seamless headset set-up, independent electrode adjustment and hardware metrics & logs

Configure headset size

Electrode position control

Health logs & metrics

Headset orientation info

Independently control each electrode position

Ensure best contact quality for each of the electrodes by specifying their position independently based on your head size and shape.

Get device metrics and logs

View all headset vitals and log information in a single place on the app.

Intuitive headset orientation

Get real-time stream of accelerometer values to give you the exact headset orientation in 3D space.

SDK & APIs

develop

for instinct

InstinctSDK and accessible InstinctAPIs, provide a dynamic platform for custom application development with seamless processing of EEG data, and integration with existing systems and third-party applications.

Instinct SDK

InstinctAPIs

Instinct
API

Instinct
SDK

get started with dev tools

What is InstinctAPI, and how can it be used?

InstinctAPI is a comprehensive API designed for developers to interact with the Nexstem Instinct device. It allows for real-time data access, device control, and customization, enabling developers to create innovative applications and solutions based on EEG data.

What programming languages are supported by InstinctAPI?

InstinctAPI supports multiple programming languages, including Python, C++, and JavaScript. This flexibility allows developers to work with the language they are most comfortable with and integrate the API into various software environments.

How can I get started with developing applications using InstinctAPI?

Dive into our Developers' Portal for docs, tutorials, and all the tools you need.

Algorithms

built-in procedures
for bci paradigms

Accelerate your proof-of-concept with our pre-bundled algorithms for popular Brain-Computer Interface paradigms.

Analog signal processing

Nexstem's proprietary analog signal processing algorithms, harmonized with InstinctOS, offer high precision and minimal latency ensuring real-time, accurate analysis of analog signals.

Motor Imagery

Motor Imagery refers to performing a task in the mind without making any physical movements. Our algorithms give you access to up to 4 mental commands.

SSVEP Speller

An SSVEP speller typically uses SSVEP paradigm to detect the user’s gaze direction to target a character. Our algorithm gives you access to up to 40 targets with an accuracy of up to 100%.

P300 Speller

A P300 speller works on the principle of ERPs or Event Potentials. The speller algorithms allows users to spell out their thoughts just by focusing on one character.

Facial Expression

The algorithm captures, analyzes and quantifies signals from all the EEG channels and provides information about a person’s facial expression.

Attention/ Calm Detection

This algorithm captures and understands EEG signals to analyze when the mind is attentive or in a state of relax.

Emotion Detection

This algorithms captures brain signals and use them as inputs to decode the relationship between emotions and electroencephalographic (EEG) variations.

Resources