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The rule the product is built around

Oralytix doesn't diagnose, and it doesn't get the last word. Every claim on this page comes back to one thing: a finding only reaches the patient chart after a dentist has decided it belongs there.

The principle

AI assists. The dentist decides.

It would be easy to build a version of this product that quietly optimizes for one number — findings per scan, or time saved per review — and let that number creep into places it shouldn't. Oralytix is built to resist that specifically.

Every finding the model produces is labeled as a candidate for review, never a diagnosis. Every candidate carries a visible confidence score instead of a flat "detected" label, so a 52% finding reads differently than a 96% one. And structurally, nothing written by the model reaches the patient record without passing through a dentist's confirm, dismiss, or modify decision first.

Two dental professionals in an operatory, smiling with an okay hand gesture.
Where this shows up in the product

Three places the principle actually gets enforced

  1. 01

    The review queue

    Every AI finding sits in a queue of exactly three actions — confirm, dismiss, modify. There is no fourth option that lets a finding pass through unreviewed, and no setting that turns this off.

  2. 02

    Confidence, always visible

    A finding's model-confidence score sits next to it everywhere it appears — in the review panel, in the findings summary, and in the audit record — rather than being available only if someone digs for it.

  3. 03

    The audit trail

    Every confirm, dismiss, and modify action is logged with a timestamp, stored separately from clinical content. If a finding is ever questioned, there's a record of exactly who made the call and when.

Young girl smiling in the dental chair during a routine check-up.
Patient trust

The same care extends to how patients see it

Patient mode exists for the same reason the review queue does: nothing gets presented to a patient without the dentist choosing what's shown and how. A finding described in clinical language for the chart is never shown to a patient verbatim — it's translated into plain terms the dentist can review before the conversation happens, not generated live in front of the patient.

Regulatory positioning

How this is classified, in plain terms

Software that analyzes radiological images falls within a medical-device category in the United States, and a number of AI-assisted dental imaging tools — including ones that return visual findings like bounding boxes or segmentation outlines — are already in clinical use under that framework. This isn't a footnote; it shapes how the product is built.

Oralytix is designed around that reality rather than around it. Findings are presented as candidates for review, not as diagnoses. The product doesn't claim diagnostic authority anywhere in its interface or its documentation, and every finding requires a dentist's decision before it becomes part of the record. Practices evaluating Oralytix for their own compliance review should treat this page as a starting point for that conversation, not a substitute for it.

Worth asking us directly

If your practice has specific compliance or procurement questions — data residency, BAA requirements, or how findings are logged for audit — bring them to a walkthrough. These are exactly the questions a 20-minute call should answer.

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Data handling

Where images go, and who can see them

Radiographs and intraoral photos are stored encrypted, separate from the operational metadata that tracks model versions and audit records — so a breach of one system doesn't automatically expose the other. Nothing about a patient's imaging history is used to train models for other practices without a separate, explicit agreement; the infrastructure section covers the technical side of this in more detail.

See the infrastructure
Questions practices ask

Questions about trust and compliance

Is Oralytix FDA cleared?
Oralytix is built around the same regulatory category that governs AI-assisted radiological image analysis, and the product is designed from the ground up to support that review — but specific clearance status is a conversation for procurement, not a marketing claim. Ask us directly on a walkthrough.
Can a dentist override or turn off a finding entirely?
Yes — dismiss is one of the three review actions, available on every single finding, every time. There's no bulk "accept all" that skips individual review.
Who can see the audit trail?
Audit records are visible to the practice that generated them, stored separately from clinical content, and structured to support compliance review rather than general clinical browsing.
Does the AI ever write directly to the patient chart?
No. It drafts a structured entry for a confirmed finding, which the dentist can edit before saving. The writing action itself is always a human one.
Corporate & legal

The compliance basics, in one place

Product trust is covered above. This is the corporate layer — the policies, security practices, and registration details procurement teams ask for.

Data protection

Radiographs and intraoral images are encrypted in transit and at rest. Operational metadata — tooth-numbering schemas, model versions, audit records — is stored separately from clinical images, as described on the infrastructure section.

Security practices

Role-based access control, per-practice data isolation, and inference monitoring through CloudWatch so a system issue is caught before it affects a review. Security architecture is reviewed as the product moves from MVP into pilot.

Company registration

Oralytix Technologies Ltd. is registered in Nigeria, RC 8823410. Registered office: Dutse Sokale, Bwari, Abuja.

Policies

Read the Privacy Policy and Terms of Use for the full detail on data handling, account terms, and acceptable use.

Bring your compliance questions

Talk through review and data handling directly

A walkthrough is the right place for the specific questions this page can't fully answer.

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