A brain model built to learn before your trial starts.
Pretrained on 150K+ brain-wave scans, then adapted to partner cohorts to produce task-specific, AI-based biomarkers.
Task-specific
AI biomarker
Partner cohort
Fine-tuned
Validation
Program-specific
How it becomes useful
From broad brain representation to a question your program can answer.
Pretraining provides a starting point. The useful output only emerges when the model is adapted and validated for a defined task.
Pretrain
Learn general brain representations across studies.
Fine-tune
Adapt the representation with a labeled partner cohort.
Validate
Test the task-specific AI biomarker on the agreed endpoint.
Task-specific outputs
Not one universal score. A model adapted to the decision.
The same pretrained representation can support different questions, provided each output is fine-tuned and validated for its intended use.
Patient stratification
Identify brain-based subgroups for a defined program question.
Drug-response prediction
Adapt the model to treatment-response labels in a partner cohort.
Disease classification
Test task-specific separation against a defined clinical reference.
Seizure and spike detection
Apply the representation to validated electrophysiology detection tasks.
Validation
A general model still has to earn confidence task by task.
Brainify.AI has validated the underlying representation on independent classification and electrophysiology tasks. Program-specific use still requires the right cohort, endpoint, and validation plan.
Alzheimer’s classification
~1,200
patient validation dataset with subject-level separation and no data leakage
Electrophysiology tasks
EEG
validated seizure and spike detection tasks
Robustness checks
Bias
demographic controls and task-specific performance review
These results demonstrate the representation’s technical capability; they do not replace validation for a sponsor’s specific biomarker or clinical claim.
Explore the evidenceConnected system
The model is strongest when collection, population context, and validation stay connected.
The Brain Measurement Kit standardizes prospective EEG / ERP collection. Datahub provides reference scale. The Foundational Brain Model converts the defined question into a task-specific output.
Technical depth
Bring the model question, not a preselected biomarker.
We start with the indication, phase, endpoint, cohort, and development decision—then determine what can be trained and validated responsibly.
Start with your question
Define the question your CNS program needs to answer.
Share the indication, phase, available data, and next development decision. We will recommend the first validation step.