For research labs and academic groups
Synchronised physiological recording in immersive VR, with population-level analytics and raw data export built in. Author your paradigms, run your participants, and get a clean, time-locked dataset out the other side.
Most VR-plus-biosensor research today is a custom integration project before it's a science project. Aligning timestamps across hardware, keeping event markers in sync, writing the parsers, building the quality-control pass, and then doing the actual analysis is months of engineering before the first paper.
BioXR collapses that stack. The CMS handles authoring and delivery, the biometric pipeline handles capture and cleaning, and the platform delivers time-aligned, analysis-ready data with raw signal export for whatever statistical tooling you already use.
Use validated scenarios from our growing library (in-house and collaborator-authored, with peer-reviewed validation for emotional exposure and cognitive flexibility), or author your own. CGI scenes with task-level event markers, plus 360° video stimuli for naturalistic provocations. Version-controlled, reusable across studies.
HRV, EDA, respiration, eye-tracking, pupillometry and head/movement, all captured against a shared clock. No manual alignment, no parser bugs, no QC pass before you can analyse.
Interactive dashboards for group-level comparisons inside the platform, plus full raw signal export for R, Python, MATLAB, or whatever pipeline your lab already runs.
Our library is growing through external collaboration. If you have a validated paradigm that would benefit from VR delivery and synchronised biometric capture, we offer licensing arrangements and joint development with our content production team.
We also work with research groups on paradigm design, multi-site deployment, and data integration. Get in touch and we'll discuss your protocol
You bring the paradigm and the validation; we bring the content platform, the biometric pipeline, in-house filming and CGI, and a route to a wider community of clinical and research users. Royalty-based licensing or co-development arrangements, depending on the work.
Discuss a collaboration →