Overjet

Dental AI for radiographs and claims

Paid Updated Sep 15, 2026
Origin United States Founded 2018 Type AI Tool Visit Now
AI Automation Tools AI Data Analytics Tools Small Businesses Enterprise Teams
Overview

What is Overjet?

To make dental X-rays easier to interpret and act on, Overjet adds AI annotations, clinical analytics, and claims-review tools for practices, DSOs, and insurers.

What appears on the radiograph

Overjet analyzes dental X-rays and adds visual overlays for findings such as suspected caries, calculus, periapical radiolucencies, and bone loss. The clinician still makes the diagnosis. In practice, the overlays give teams a consistent second read and clearer images for chairside treatment discussions. Measurements do not need to be drawn manually on every image.

Where it enters the workflow

During an exam, a dentist can show annotated images while explaining recommended care. Across a DSO, clinical leaders can compare diagnosis and treatment patterns between locations and find patients with unscheduled treatment. Dental insurers can apply image analysis to claims, checking radiographic evidence and routing uncertain cases to human reviewers.

Buying and deployment

Overjet has no self-serve plan or published monthly price. Contracts are quoted around organization size, selected products, locations, integrations, and implementation needs. That buying process favors established practices, DSOs, and payers over individuals. Deployment may require connections to imaging and practice-management systems, followed by staff training. Confirm compatibility early if locations use different software or imaging hardware.

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The honest read

Highlights & limitations

What stands out
  • Annotations make bone loss and suspected decay easier to explain chairside
  • Standardized measurements support consistent reviews across multiple locations
  • Clinical analytics help surface diagnosed but unscheduled treatment
  • Claims tooling gives payers a focused queue for human review
Worth knowing
  • Quote-only pricing makes early budget comparison difficult
  • Implementation is heavier than installing a standalone imaging plug-in
  • Value depends on clean imaging data and compatible practice systems
  • AI overlays can still miss findings or mark false positives
From real users

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