Software Platform

BioWavePass software platform

Name: BioWavePass
Availability: InStock

BioWavePass is Gekonova’s palm vein authentication platform — an AI-driven biometric identification engine, with SDKs and APIs, that turns a palm-vein sensor into a working authentication, payment or attendance system.

Hardware captures a scan. Software is what decides whether it’s a match, and what your application does next. BioWavePass is built to slot into systems you already run, not replace them wholesale.

Get SDK access Developer FAQ

BioWavePass SDK · Android

val session = BioWavePass.enroll(userId)
session.onCapture { template ->
    api.register(template)   // AES-256, feature template only
}

BioWavePass.identify { result ->
    if (result.match) unlockPaymentFlow(result.userId)
}

What the software does

Two flows: enrolment once, identification every time after.

Registration (enrolment)

The first time someone enrols, BioWavePass intentionally uses a slower, higher-quality capture process to build a reliable long-term reference template. This is a one-time step per user.

Identification

Every scan after that is optimised for speed: capture, extract, compare, respond — typically in well under a second. Combining both steps into one tap would slow down every transaction to accommodate a one-time step, so they stay separate by design.

After a scan, the API returns a structured result — a match/no-match decision with a confidence score — not raw biometric data. Your application consumes that result to drive whatever comes next: unlock a door, authorise a payment token, log an attendance event. Even short-term caching of raw biometric data isn’t permitted under data-minimisation principles; each capture is processed and then discarded.

Developer & integration tools

Built to be integrated, not reverse-engineered.

SDKs for your stack

Native Android support out of the box, a Flutter layer for cross-platform apps, and React Native support — full SDK and API documentation included.

Hardware-agnostic

Integrates with existing POS terminals, kiosks, gates and time clocks over USB, RS232, OTG and SDK/API libraries for Android, Windows and Linux.

Sandbox environment

A test environment is available for integration and QA before you go live, with documented, structured error codes for every failure case.

Safe retries

Requests are designed to be safely retryable — an interrupted or retried call won’t create a duplicate record or transaction on the backend.

Controlled updates

SDK releases ship with release notes and integrity verification. No silent auto-update — you decide when to roll out, and can roll back quickly.

Similarity search

Beyond exact-match lookups, the system supports similarity search — useful for fraud review or catching accidental duplicate enrolments.

Deployment flexibility

Cloud, self-hosted, or fully offline — your call.

Cloud-connected

Device talks to a recognition backend that scales horizontally as your user base grows — no downtime, no data migration required moving from pilot to production.

Self-hosted

A containerised (Docker-based) private-server setup lets smaller deployments run the recognition backend entirely on infrastructure you own and control.

Fully offline

Matching happens entirely on-device, with zero network dependency — a strong fit for branches, kiosks or remote sites where connectivity can’t be guaranteed.

Capacity is tied to the number of registered users, not transaction volume, and can be expanded on request without a new deployment or client-side rebuild. Starting on a smaller-scale deployment and upgrading later is a common, supported path.

White-label & OEM

Wear your own brand. We’ll handle the biometrics.

Gekonova’s platforms can be fully white-labelled to match your brand identity. We also support OEM partners who want to embed our recognition technology into their own hardware or software ecosystems.

Custom UI, naming and packaging on request
Bespoke development for banking, healthcare, education and transport use cases
Both cloud-hosted and on-premise deployments supported side by side
SDK provided as a compiled package with full integration documentation

Licensing snapshot

BrandingFull white-label
SDK formatCompiled package
HostingCloud · on-premise
DocsFull API reference
OEM embeddingSupported

Getting to production

Most integrations go live in 2–6 weeks.

Scope

We size the deployment against your environment, user volume and existing hardware.

Sandbox

Your team integrates against a test environment with full API documentation.

Pilot

A live pilot validates accuracy and UX in your real conditions before rollout.

Go live

Full deployment with defined support SLAs and direct hardware replacement.

For existing POS systems or partners using Gekonova-approved hardware, MVP setups can be completed in as little as 2–3 weeks.