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Pearl

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Dental AI for diagnosis, operations, insurance, training, and notes

What is Pearl?

Pearl is dental AI software for dentists, DSOs, and universities. The site presents it as a platform for radiologic analysis, practice performance, insurance workflows, clinical training, and documentation support.

Its main product family includes Second Opinion for image review, Practice Intelligence for operational insights, RCM for insurance support, Calibrate for training, Second Opinion 3D for CBCT workflows, and Pearl Voice for ambient note capture. Pearl says its radiologic AI is FDA cleared and supports both 2D X-rays and 3D CBCT imagery.

What can Pearl do?

Second Opinion radiology AI

Detects caries, bone loss, periapical findings, restorations, and other radiographic findings for clinician review and patient education.

Practice Intelligence reporting

Uses practice data and radiologic signals to surface unscheduled needs, prioritize call lists, and show where treatment opportunities are stalling.

RCM and precheck workflows

Automates insurance verification, benefits breakdowns, and claim support so teams can move faster through front desk and reimbursement work.

Calibrate and university training

Provides AI-guided clinical training and consistent review criteria to help teams and educators standardize diagnosis.

Voice capture for documentation

Adds ambient voice AI for clinical notes and perio charting through Pearl Voice.

Use Cases

“Chairside diagnostic review”

Use Second Opinion to review radiographs with AI-detected findings, color-coded overlays, and patient-friendly visuals that support diagnosis and case presentation.

“Practice operations and scheduling”

Use Practice Intelligence to surface unscheduled needs, generate smart call lists, and prepare daily huddles so front-office and clinical teams can prioritize the right patients.

“Insurance and claims workflow”

Use RCM and precheck tools to verify benefits, prepare clearer payment conversations, and support claim submission with objective radiographic evidence.

“Clinical training and education”

Use Calibrate and Pearl’s university-focused messaging to standardize diagnostic training, give students clear feedback, and show where support is needed.

“Clinical documentation”

Use Pearl Voice to capture ambient clinical notes and perio charting during appointments so documentation is less manual.

Frequently Asked Questions

What does Pearl do?

Pearl is presented as dental AI software for dentists, DSOs, and universities. It supports radiologic review, practice performance analysis, insurance workflows, clinical training, and ambient voice note capture.

How is Pearl implemented?

The site shows products that work with existing imaging and practice management software, and it says Pearl installs easily. It does not provide public setup steps beyond booking a demo and contacting sales to verify compatibility.

Which workflows does Pearl support?

Pearl’s radiologic AI is described as supporting both 2D X-rays and 3D CBCT imagery, while Practice Intelligence combines radiologic AI with practice data for reporting, scheduling, recall, and insurance workflows.

Is pricing publicly available?

The site does not publish pricing on the pricing URL; that page currently returns a not found message. Interested users are directed to book a demo or contact sales.

Does Pearl publish integrations and availability details?

Pearl says to contact sales to verify compatibility with specific software, region availability, and regulatory clearances. The public pages list broad support claims, but they do not enumerate every integration or clearance on the page itself.

Quick Facts

Category
Dental AI software
Primary users
Dentists, DSOs, and universities
Core workflow
Radiologic analysis plus practice operations and insurance support
Platform
Web-based product site; installs with existing imaging and practice management software
Source domain
hellopearl.com
Pricing
Not publicly listed on the site

Pearl Traffic Analysis

Traffic data is for reference only.

Domain Rating
62

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