BioTone¶
BioTone is a multi-signal biometric identity platform. We build recognition, liveness, and continuous re-authentication for face, iris, palm, ear, voice, and other modalities — designed to run on commodity smartphones and integrate with enterprise identity systems.
This section of the wiki collects public reference material about the platform: terminology, the standards we follow, and how a few of the building blocks (like the knowledge factor) work in practice.
If you are looking for the science of biometric recognition itself — how each modality is captured, encoded, and matched — start in Concepts.
Pages in this section¶
- About BioTone — what the platform is, who it is for, and where to learn more.
- Glossary of biometric terms — FMR, FNMR, EER, PAD, template, embedding, AAL, and other acronyms you will see across the wiki.
- Standards and frameworks — the public standards (NIST, ISO/IEC, FIDO) that we design against and report performance against.
- The knowledge factor (something you know) — how BioTone treats memorized secrets and visual anchors as a zero-trust auth signal.
- Responsible use and privacy — how we think about consent, data minimization, fairness, and the limits of any biometric system.
Where to go next¶
- Use BioTone in your own product: the Developer Portal hosts API documentation, SDKs, and access requests.
- Learn what we ship as a company: the main BioTone site.
- Dive into the science: start with the Concepts index.