Technology

Built to work anywhere, and to hold up under scrutiny.

OVISTA isn't tied to one piece of hardware, and it isn't built to be a black box. Here's how the platform is put together, at a conceptual level.

This page describes OVISTA's platform concept, not its internal engineering. OVISTA is a decision-support screening tool — it does not diagnose disease.
Three Design Principles

What the platform is built around

01 · HARDWARE-AGNOSTIC

Not locked to one device

OVISTA is designed to work with a range of eye-tracking hardware — today's clinical-grade trackers, and future ones — rather than being built around a single vendor. That matters for a screening tool meant to sit in ordinary primary care settings: it shouldn't force a clinic into one supplier, one price point, or one generation of equipment.

02 · LOCAL-FIRST EXECUTION

Timing precision comes first

The tasks OVISTA measures are sensitive to milliseconds. So the session itself runs locally, on-device, rather than depending on a live connection to a remote server to time each trial — timing precision and patient responsiveness shouldn't be at the mercy of network conditions. It's also a simpler, more private way to handle a clinical session by default.

03 · STRUCTURED REPORTING

A clear report, not raw data

A clinician doesn't need a spreadsheet of gaze coordinates. They need a clear, structured report: the risk band, the metrics behind it, and enough context to decide on next steps. That's the actual output OVISTA is built to produce.

Two Views, One Session

What the patient sees. What the clinician sees.

The same five-minute session produces two very different views — deliberately. One is designed to keep a patient calm and focused. The other is designed to give a clinician a fast, structured read.

PATIENT-FACINGSESSION DISPLAY

A single moving target on a plain, low-contrast background. No instructions, no numbers, no clutter — nothing to distract from the task itself.

CLINICIAN-FACINGSESSION REPORT

A session list, the risk-band result, and the metrics behind it — laid out for a fast clinical read, not a data-science review.

See where this fits in a clinical workflow.

The platform is one piece. The screening protocol and clinician workflow are the other.