About
Piyo Labs is a small, independently developed research software brand for researchers.
Overview
Piyo Labs develops focused, easy-to-use software for researchers at universities, healthcare organizations, research institutions, and companies.
Rather than pursuing scale for its own sake, Piyo Labs aims to provide the features researchers genuinely need, with care and integrity.
Inspired by the idea of a friendly “chick’s laboratory,” Piyo Labs combines an approachable identity with the reliability and transparency expected of software used in research.
What we value
✓ Flexible study design
We prioritize giving researchers the flexibility to design studies around their own objectives, without limiting them to a particular research field.
✓ Clear data practices
We explain where data is stored and how it is handled as clearly as possible.
✓ Accurate, measured claims
We avoid overstating performance and aim to communicate clearly what our software can and cannot do.
✓ No reliance on advertising or external tracking
We aim to provide our software without relying on advertising or external tracking.
✓ Sustainable development and maintenance
We develop within a scope that can be responsibly maintained over the long term as an independently operated brand.
Independently developed and maintained
Piyo Labs is currently developed and operated by a single developer.
Working on a small scale makes it possible to keep both the software and its data practices clear, focused, and free from unnecessary complexity.
Piyo Labs will continue to improve its software thoughtfully, informed by user feedback and within a scope that can be maintained over the long term.
Piyo Labs prioritizes sustainable development and careful improvement informed by user feedback.
Current product
rVAS
Piyo Labs’ current main product is rVAS, a general-purpose Visual Analogue Scale (VAS) measurement app for research. Designed for iPad and not tied to any single research field, it allows researchers to design and run VAS studies and export the resulting data.
Contact
For questions, bug reports, or feature requests, please visit the support page.
Please do not include research data or participants’ personal information when contacting us.