Neurova Intelligence
Not a chatbot. A probabilistic inference engine designed to quantify human behavior.
Multi-Modal Ingestion
Aggregating unstructured telemetry: sleep logs, circadian rhythm data, and linguistic sentiment.
Neurova Inference
Establishing user baselines. Detecting deviations (delta > 15%) to flag potential clinical risks.
Risk Stratification
Quantified risk scores are routed to NeuraX for triage. No autonomous diagnoses are made.
Synthetic Data Training
To solve the "cold start" problem without compromising privacy, we train Neurova on high-fidelity synthetic datasets. We engineer digital profiles that mimic pathological patterns (e.g., depressive withdrawal) to ensure model robustness before it ever touches real user data.
const syntheticProfile = {
id: "SYN-8492",
pathology: "insomnia_onset",
metrics: {
sleep_duration: 4.2, // hours
latency_delta: +45%,
sentiment_drift: -0.65
}
};