Biosignal Prediction Infrastructure
NEX7 helps researchers move beyond data collection — into forecasting episodes, personalized feedback, and real-world impact.
The future of research isn't reactive — it's predictive.
Founded at the intersection of data science and clinical research infrastructure, NEX7 is building the tools that let researchers stop asking “what happened?” and start answering “what's about to happen, and what should we do about it?”
We build the connective tissue between biosignal data, predictive models, and the people generating that data.
Predict episodes before they occur
Time-series models trained on multi-modal physiological streams forecast clinical events with calibrated confidence intervals — designed for the realities of free-living research.
Empower study participants
Closed-loop interfaces return personalized insight to participants — turning passive data subjects into informed collaborators and improving adherence across longitudinal studies.
Operate at research-grade fidelity
Validated pipelines, audit trails, and IRB-ready data handling. Built from day one for pharma and clinical partners who require provenance, not just dashboards.
Migraine & headache research — one of the most data-rich, pattern-driven areas of chronic pain.
Surfacing the signals that precede an episode.
Biocast was initially developed and validated in the context of migraine and headache research. Our prediction engine is designed to surface the subtle prodromal signals that precede episodes — giving participants and researchers earlier, more actionable insight than any symptom diary alone can provide.
Three stages, configurable end-to-end per study protocol.
Capture what matters.
Participants log symptoms, behaviors, sleep, stress, and other relevant signals through a clean, accessible mobile experience. Researchers configure exactly what data matters for their study.
Forecast what's coming.
Biocast's AI engine analyzes participant data to identify patterns and generate individualized episode risk forecasts — giving both researchers and participants a window into what's coming before it arrives.
Act on rising risk.
When risk levels rise, Biocast can deliver personalized, researcher-defined interventions — from medication reminders to behavioral nudges like rest, hydration, or light activity. Intervention logic is fully configurable per study protocol.
Biocast — the prediction layer for migraine & pain research, deployed across active studies today.
Forecast pain episodes hours before onset.
Biocast ingests wearable, EMA, and sleep signals; runs participant-specific models; and delivers calibrated risk forecasts to study teams and (optionally) participants. It replaces the post-hoc spreadsheet with a live, prospective clinical instrument.