Neurasynk
Neurofeedback × Artificial Intelligence

Synchronizing brain and AI, starting behind the wheel.

Neurasynk builds closed-loop neurofeedback: EEG reads the brain, AI decides how to respond, and the loop adapts to each person. Our first application is the driver's seat, where a few seconds of warning matter most.

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02 Cortex

Inside, 86 billion neurons keep watch.

Vigilance lives in frontal and parietal networks. When their rhythm slows, attention slips seconds before the eyelids close. Our brain network models map which networks carry it.

03 Neuron

Every thought is a voltage.

A neuron fires in about a millisecond. Millions firing together create the microvolt rhythms EEG reads at the scalp: alpha at 8–12 Hz, theta at 4–8 Hz.

04 Cabin

Then we bring that signal into the car.

Sensor array, driver and vehicle assemble into one measured system. Eight dry electrodes sit in a headband, with no gel and no setup beyond sitting down.

05 Road

Every mile, measured in microvolts.

Neurasynk tracks the theta-to-alpha shift that marks fatigue, and a reinforcement-learning agent picks the gentlest cue that brings attention back before the lane drift starts.

06 Signal

The brain stays in view.

Everything below is what that closed loop becomes for fleets, automakers, research labs and clinicians.

Services

From raw EEG to adaptive feedback.

EEG

Real-time EEG processing

Multi-channel pipelines that extract neural biomarkers with low latency. In the cabin, that means continuous drowsiness and attention-lapse detection.

DRL

Deep reinforcement learning

Agents that learn each person's brain patterns and tune the feedback: when to cue, how strongly, and what works for that driver.

BNM

Brain network modeling

Graph models of functional connectivity that show which networks drive attention, fatigue and overload.

LOAD

Cognitive load mapping

See how much mental effort a route, a dashboard layout or a new driver-assist feature demands.

fMRI

Neuroimaging studies

fMRI and fNIRS sessions with partner labs that validate what the in-car signal means.

How it works

One closed loop, from scalp to feedback.

1

Sense

Dry electrodes at Fp1, Fp2, F3, F4, Cz, Pz, O1 and O2 sample brain activity 256 times a second.

2

Clean

Blinks, jaw clench and road vibration are separated from brain activity in real time.

3

Decode

Deep learning models read delta, theta, alpha and beta power against each driver's own baseline.

4

Adapt

A reinforcement-learning agent chooses the response (seat vibration, chime or fleet alert), watches how the brain reacts, and learns. That closes the loop.

  • Python / PyTorch
  • MNE-Python
  • OpenBCI / BioSemi
  • TensorFlow
  • Brain network analysis
  • REST API
Research & projects

Advancing neuroscience through AI.

The driver study sits on a wider research pipeline, from fundamental brain modeling to clinical validation.

Adaptive RL neurofeedback

Ongoing

Reinforcement-learning agents that optimise neurofeedback protocols from individual EEG signatures, in the car and in the lab.

Brain network atlas

Research

Mapping functional connectivity across cognitive states, alert to drowsy, to target the networks that matter.

Clinical trials pipeline

Planned

Multi-site validation of closed-loop neurofeedback for ADHD, anxiety and PTSD.

Open-source BCI toolkit

Coming soon

A framework for researchers to build and run real-time neurofeedback experiments with minimal setup.

3+
active projects
5+
published papers
2
clinical collaborations
10+
team members
Who it's for

Built for people who put drivers on the road, and those who study the brain.

FLEET

Fleet operators

Catch fatigue on night routes and long hauls, and plan shifts around real alertness data.

OEM

Automakers and HMI teams

Test cockpit designs and assist features against measured cognitive load, not only surveys.

LAB

Research teams

Pair on-road EEG with lab fMRI to study attention, distraction and hand-over in automated driving.

CLINIC

Clinicians and wellbeing programs

The same closed loop supports attention training, stress management and neurorehabilitation research.

Coming soonNeurasynk Drive

One place for every car, every driver, and the person behind the wheel.

Neurasynk Drive is the ERP we are building for everyone who runs or relies on vehicles: fleets, rental and leasing companies, service workshops, and private owners. It brings vehicle data, day-to-day operations and driver wellbeing together in one dashboard.

FLEET

Fleets and service providers

Vehicles, drivers, shifts, maintenance and workshop jobs in one system, with alertness data from the cabin feeding into shift planning.

OWNER

Car owners and drivers

See what's going on with your car (service due, faults, trips and costs) and with yourself: fatigue and focus trends from your own drives.

Planned modules

  • Vehicle health & diagnostics
  • Maintenance & service scheduling
  • Driver profiles & shifts
  • Fatigue & alertness reports
  • Trips, fuel & running costs
  • Parts, invoices & billing
  • Alerts & notifications
  • Owner mobile app
About Neurasynk

Pioneering the future of neurofeedback.

We are a research-driven neurotechnology team at the intersection of neuroscience and artificial intelligence, building adaptive systems that respond to the brain in real time.

VISION

Vision

A future where brain-computer interfaces work seamlessly with AI, giving everyone real-time, adaptive neurofeedback.

MISSION

Mission

Build closed-loop neurofeedback systems that keep drivers safe, enhance cognition, support mental health and drive neurorehabilitation.

VALUES

Values

Scientific rigor, innovation, accessibility, and a deep commitment to human well-being.

Neurasynk brain mark
Pilot program · Collaborations

Put a brain-aware co-pilot in your next fleet pilot.

Tell us about your drivers and routes, or your research question. We'll scope a study with in-cabin EEG and, where it helps, lab neuroimaging.

or email colab@neurasynk.com
Research lab · available for remote collaborationLinkedInX / TwitterFacebookTikTok
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