
THE SCIENCE BEHIND SENS.AI
A system built on decades of neuroscience research, validated in collaboration with the Buck Institute for Research on Aging, and designed to measure, model, and improve brain function over time.
The Brain Health AI Platform
Most brain health tools do one thing. Sens.ai does four, and connects them.
Measure
EEG and ERP-based assessments capture 643 biomarkers of brain function, benchmarked against demographic norms.
Model
The BrainYears™ AI model converts those biomarkers into a biological brain age score, matching the accuracy of research-grade neuroimaging (r=0.923, MAE=4.4 years).
Intervene
Personalized neurofeedback training and photobiomodulation protocols target the specific domains where your brain needs support.
Track
Repeated assessments measure change over time, closing the loop between intervention and outcome.
This closed-loop architecture is what separates a measurement from a system — and what makes measurable improvement possible.
Validated by Research. Proven by Results.
The BrainYears™ biological brain age model was developed in collaboration with the Buck Institute for Research on Aging, one of the world's leading independent aging research institutions.
r = 0.923
Correlation between BrainYears™ predicted brain age and chronological age.
MAE = 4.4 years
Mean absolute error, matching research-grade neuroimaging accuracy.
643 biomarkers
EEG and ERP-derived features powering the model.
5.1 BrainYears™ improvement
In a controlled study, participants reversed their brain age by 5.18 BrainYears™ — in just 56 days.
Control group: no change
Participants who did not use the system showed no improvement over the same period.
The 5.1 BrainYears™ improvement was observed in participants who completed Sens.ai's Sharp Mind protocol, a structured program combining neurofeedback training and transcranial photobiomodulation delivered through the Sens.ai headset. The control group, assessed over the same 56-day period, showed no statistically significant change in brain age. These results represent the first demonstration that a wearable neurotechnology system can produce measurable, validated reversal of biological brain age.
Three Modes. One Integrated System.
Every Sens.ai session falls into one of three modes — Assess, Train, or Boost. Each mode combines one or more evidence-based neuroscience modalities, and because the Sens.ai headset has EEG electrodes built in, key elements are personalized to your brainwaves in real-time. No other consumer system can do this.
Assess
How it works:
Assess sessions measure your brain function objectively using ERP-based cognitive assessments. Assessments are the measurement layer of the system — the foundation everything else is built on. Without measurement before and after intervention, there is no way to know whether training is working.
What is an EEG?
Electroencephalography (EEG) is a method of recording the brain's electrical activity using sensors on the scalp. EEG captures brainwave patterns across different frequency bands (delta, theta, alpha, beta, gamma), providing a real-time picture of brain state and function. In the Sens.ai system, EEG data powers both the neurofeedback training and the biomarker extraction that feeds the BrainYears™ model.
What is an ERP?
An Event-Related Potential (ERP) is a measured brain response to a specific sensory, cognitive, or motor event. Unlike resting-state EEG, which captures ongoing brain activity, ERPs measure how the brain processes specific tasks: how quickly it responds, how accurately it discriminates between stimuli, and how efficiently it encodes information. ERPs are widely used in clinical and research settings to assess cognitive function with high precision.
How Sens.ai assesses:
The current assessment protocol uses the Flanker Task, an ERP-based cognitive test that measures attention and executive function by requiring the user to identify the direction of a central arrow while ignoring conflicting flanking arrows. Performance on this task, combined with the underlying EEG and ERP data, maps brain function across five cognitive domains: processing speed, attention, memory encoding, executive function, and sensory integration. Results are benchmarked against age- and demographic-matched norms, giving each user an objective baseline and a measurable way to track change over time.
Why it matters:
This is what separates Sens.ai from systems that offer training without measurement, or measurement without intervention. The assessment doesn't just tell you where you are — it informs what your training should be, and confirms whether it's working.
Train
How it works:
Train sessions are the active brain training layer of the system. Training includes two distinct modalities: neurofeedback (training the brain's electrical patterns) and HRV biofeedback (training the body's autonomic nervous system). Multiple programs are available, selected based on your assessment results and your chosen Mission.
What is neurofeedback?
Neurofeedback is a form of brain training that uses real-time EEG monitoring to help the brain learn to regulate its own activity patterns. During a session, sensors detect brainwave frequencies and provide audiovisual feedback that guides the brain toward more balanced, efficient states. Over repeated sessions, the brain strengthens its ability to shift into desired states — focused, calm, alert — without external cues. The Sens.ai system delivers neurofeedback programs across the frequency spectrum, from low-theta through gamma (high-level processing).
What is HRV biofeedback?
Heart rate variability (HRV) biofeedback trains the autonomic nervous system through controlled breathing patterns. HRV — the variation in time between consecutive heartbeats — is a well-established indicator of nervous system flexibility. Higher HRV is associated with better stress resilience, emotional regulation, and overall physiological balance. During an HRV biofeedback session, the Sens.ai system guides the user through personalized breathing programs that strengthen parasympathetic nervous system tone, training the body's stress response at its physiological root.
Why both?
The brain and the autonomic nervous system are not separate systems — they regulate each other continuously. Neurofeedback trains top-down regulation (the brain directing the body), while HRV biofeedback trains bottom-up regulation (physiological state influencing brain function). Training both produces a more complete and resilient result than either alone.
Boost
How it works:
Boost sessions are designed to shift your brain state quickly. Each session stacks transcranial photobiomodulation (tPBM) with binaural beats and guided meditations into a single experience — stimulating the brain at the cellular level while guiding it toward a target state.
What is photobiomodulation (tPBM)?
Photobiomodulation is the use of specific wavelengths of light to stimulate cellular function. When applied through the skull to the brain, near-infrared light at 810nm is absorbed by mitochondria in cortical neurons, supporting cellular energy production (ATP synthesis) and promoting the biological conditions for neuroplasticity. The Sens.ai headset delivers tPBM at 312 mW/cm², targeting frontal and temporal cortical regions.
What are binaural beats?
Binaural beats are an auditory phenomenon in which two slightly different frequencies are played to each ear, and the brain perceives a third "beat" at the difference between them. This perceived frequency can guide brainwave entrainment toward a desired state — alpha for calm focus, theta for deep relaxation, gamma for heightened processing.
What makes Sens.ai's Boost different:
Because the headset reads your EEG in real-time, the tPBM frequency and binaural beat frequency are personalized to your brainwaves during the session. Most devices deliver a fixed frequency to every user. Sens.ai adapts to your brain's natural resonance, which is why the same "alpha" session can feel different for different people — it's calibrated to where your brain actually is, not a population average.
The Missing Link: Brain Health
Health AI is transforming how we understand the body. Genomics, blood biomarkers, wearables — models that predict risk and personalize care across nearly every organ system.
Nearly every one.
The brain has been left out. Not because it doesn't matter — but because it's been nearly impossible to measure at scale. The result is a critical gap: the organ most central to quality of life and cognitive longevity is the one Health AI knows the least about.
Sens.ai is closing that gap. BrainYears™ is the first validated, scalable measure of biological brain age — giving Health AI the structured brain data it's always been missing.
Understanding your brain shouldn't require a hospital visit. And improving it shouldn't be a guess.
New to neurotechnology? Here are the concepts behind how the Sens.ai system works.
Biological Brain Age
A measure of how old your brain appears to be based on its function, rather than your chronological age. Just as biological age clocks for the body use blood biomarkers or DNA methylation, biological brain age uses EEG and ERP-derived biomarkers to estimate how the brain is performing relative to age-matched norms. A brain that is biologically younger than its chronological age typically shows faster processing, stronger attention, and more efficient neural communication.
BrainYears™
Sens.ai's proprietary measure of biological brain age, developed in collaboration with the Buck Institute for Research on Aging. The BrainYears™ model analyzes 643 EEG and ERP-derived biomarkers to produce a single brain age score. A BrainYears™ improvement of 5.1 years was observed over 56 days in users who completed the Sharp Mind protocol. → brainyears.com
Binaural Beats
An auditory phenomenon in which two slightly different frequencies are played to each ear, causing the brain to perceive a third frequency at the difference between them. This perceived beat can guide brainwave entrainment toward a target state. In the Sens.ai system, binaural beat frequencies are personalized to the user's EEG in real-time.
Brainwaves
Rhythmic electrical patterns produced by neurons communicating in the brain, measured by EEG. Brainwaves are categorized by frequency into five primary bands, each associated with different mental states and functions. → Brainwaves
Delta Waves (0.5–4 Hz)
The slowest brainwave frequency, dominant during deep, dreamless sleep. Delta activity is essential for physical restoration, immune function, and memory consolidation. Elevated delta during waking hours can indicate fatigue or cognitive impairment.
Theta Waves (4–8 Hz)
Associated with light sleep, deep relaxation, creativity, and the boundary between waking and sleeping (hypnagogia). Theta is also linked to memory encoding and emotional processing.
Alpha Waves (8–12 Hz)
The brain's idle rhythm, dominant when relaxed and alert but not actively processing a demanding task. Alpha is associated with calm focus, stress reduction, and mental readiness. Strong alpha production is often a marker of healthy cognitive function.
Beta Waves (12–30 Hz)
Associated with active thinking, problem-solving, focused attention, and engaged conversation. Elevated beta can indicate alertness and concentration; excess beta, particularly high-beta, is sometimes associated with anxiety or overthinking.
Gamma Waves (30–100 Hz)
The fastest brainwave frequency, associated with high-level information processing, learning, memory formation, and moments of insight. Gamma activity reflects coordinated communication across brain regions.
Cognitive Longevity
The preservation and optimization of brain function across the lifespan. Cognitive longevity focuses on maintaining the quality of cognitive performance — memory, processing speed, attention, executive function — as the brain ages.
EEG (Electroencephalography)
A method of recording the brain's electrical activity using sensors on the scalp. EEG captures real-time brainwave patterns and is the primary data source for both neurofeedback training and brain function assessment in the Sens.ai system.
ERP (Event-Related Potential)
A measured brain response to a specific stimulus or task. ERPs capture how quickly and accurately the brain processes information, making them a powerful tool for assessing cognitive function. The Sens.ai system uses ERP-based tasks (including the Flanker Task) to measure processing speed, attention, and executive function.
Flanker Task
A cognitive assessment task used to measure attention and executive function. The user identifies the direction of a central arrow while ignoring surrounding (flanking) arrows that may point in a conflicting direction. It is one of the core ERP-based assessments in the Sens.ai system.
Heart Rate Variability (HRV)
The variation in time between consecutive heartbeats. Higher HRV generally indicates a more flexible, adaptive nervous system. HRV biofeedback, used in the Sens.ai system, trains the user to improve autonomic balance through controlled breathing patterns.
Neurofeedback
A form of brain training in which real-time EEG data is translated into audiovisual feedback, allowing the brain to learn to regulate its own activity patterns. Over repeated sessions, the brain strengthens its ability to shift into desired states — focused, calm, alert — without external cues. → Neurofeedback
Neuroplasticity
The brain's ability to reorganize its structure and function in response to experience, learning, or training. Neuroplasticity is the biological mechanism that makes neurofeedback and other brain training approaches work. This capacity does not disappear with age, although it may require more targeted support.
Photobiomodulation (PBM) / Transcranial Photobiomodulation (tPBM)
The use of specific wavelengths of light to stimulate cellular function. When applied through the skull to the brain (transcranial), near-infrared light (typically 810nm) is absorbed by mitochondria in cortical neurons, supporting ATP production and promoting the cellular conditions for neuroplasticity. → Neurostimulation
Processing Speed
How quickly the brain receives, interprets, and responds to information. Processing speed is one of the five cognitive domains assessed by the Sens.ai system and is a key indicator of overall brain function. Declines in processing speed are among the earliest measurable signs of cognitive aging.



