Pearl vs Overjet for Dental Practices (2026)

TL;DR

At a glance

What each tool does

Pearl and Overjet are the two best-known independent dental AI vendors — independent meaning neither is owned by an imaging-hardware company, and both sell directly to practices rather than only through a sensor bundle. Both apply computer vision to dental radiographs, both are FDA-cleared class II decision-support devices, and both produce overlays the dentist confirms. They are not autonomous diagnosticians. The differences are in breadth, packaging, and how far up the workflow each one reaches.

Pearl is built around Second Opinion, its FDA-cleared chairside engine that analyzes radiographs in real time and flags a wide range of conditions — caries, existing restorations, anatomy, calculus, and more — with color-coded overlays that appear on your existing imaging monitor within seconds. Pearl markets a broad detection breadth (it commonly cites the ability to surface 100+ conditions across 2D and 3D radiographs, with accuracy validated by an independent third party in the mid-90s percent range — verify the current figure and the specific clearance for your use case). Around Second Opinion, Pearl has added Practice Intelligence (operational and clinical-quality analytics) and Pearl Voice (ambient documentation). Pearl is sensor- and PMS-agnostic and integrates with Dentrix, Eaglesoft, Open Dental, Curve, Denticon, and tab32. It's the engine that also powers Henry Schein's DEXIS AI under partnership — but bought direct, you skip the hardware coupling entirely.

Overjet is also an independent FDA-cleared AI company, but it has pushed harder into being a full clinical AI platform rather than a single detection engine. Its core AI Assist detects and quantifies caries, periapical radiolucency, and calculus — and the quantification is the differentiator: it reports measurements (including bone-level and lesion metrics) with millimeter-level precision, which strengthens perio and restorative case presentation. On top of that, Overjet sells IRIS, the first AI-native imaging viewer — software designed to replace legacy imaging suites (the kind of viewer most offices run alongside their PMS), with auto-enhancement of low-quality images and an offline mode. And Overjet Voice provides ambient documentation and hands-free perio charting in English and Spanish. Overjet is heavily adopted by large DSOs and is sensor- and PMS-agnostic like Pearl.

Both run in the FDA's "computer-assisted detection" lane — they highlight findings and provide measurements, but the licensed clinician is the legally responsible decision-maker. That framing shapes everything downstream: training, consent language, malpractice exposure, and how you talk about the tool with patients. Neither tool changes who is liable for the read.

Pros and cons of Pearl

Pros

• Detection breadth and proven case-acceptance lift. Pearl markets the widest condition coverage in the category and a strong, independently validated accuracy figure. In practice, the value isn't just detection — it's the patient-facing overlay. When you rotate the monitor and show a patient the orange zone of decay on their own X-ray, case acceptance moves. Reported lifts cluster in the 15–25 percentage-point range, though results vary heavily by baseline acceptance and payer mix.
• Lowest-friction direct buy. Second Opinion is commonly available around $349/month via partners, sometimes with no long-term contract — which is the closest thing to a "swipe a card and start" experience in clinical dental AI. That matters for solos who don't want a six-month enterprise rollout.
• Sensor- and PMS-agnostic, bought direct. You get Pearl's models without committing to DEXIS sensors or any single hardware vendor. It integrates with the PMS you already run.
• 2D and 3D coverage. Second Opinion works on bitewings, periapicals, panoramics, and CBCT in some configurations — useful if you run a cone-beam and want AI on volumetric data, which not every competitor handles.
• Practice Intelligence is a real analytics layer. For practices that would otherwise buy a separate analytics subscription, Pearl's built-in dashboards on case acceptance and production may cover the need.

Cons

• Pearl Voice is newer. The ambient-documentation product is still expanding its feature set. If hands-free charting and AI notes are central to your decision, Overjet Voice has a slightly longer head of steam toward general availability — pilot Pearl Voice before assuming parity.
• No AI-native imaging viewer. Pearl overlays render on your existing imaging monitor; there's no equivalent to IRIS that replaces your legacy viewer. If part of your goal is retiring an aging imaging suite, Pearl alone doesn't do that.
• Pricing beyond Second Opinion is by quote. The headline $349/month figure is for Second Opinion via partners. Adding Practice Intelligence, Voice, and multi-location coverage moves you into custom pricing — get the all-in number in writing.
• Clearance scope is narrower than the "100+ conditions" marketing implies. Always read the specific FDA 510(k) summary for the claim you care about; marketed detection breadth and cleared claim scope are not the same thing.

Pros and cons of Overjet

Pros

• One vendor for diagnostics + imaging + documentation. AI Assist, IRIS, and Overjet Voice cover detection, the imaging viewer itself, and ambient notes. For multi-provider practices that want to consolidate vendors, this breadth is the whole pitch.
• Millimeter-level quantification. Overjet reports measurements (bone level, lesion size) directly on the radiograph. For perio-focused offices and detailed restorative case presentation, a number on the image is more persuasive than a colored zone alone.
• IRIS is a genuine differentiator. An AI-native imaging viewer with auto-enhancement and an offline mode is unusual. If your internet is unreliable or your imaging viewer is overdue for replacement, IRIS solves two problems at once.
• Overjet Voice supports English and Spanish. Bilingual practices get ambient documentation and hands-free perio charting that handles Spanish, which is rare in the category.
• Deep DSO adoption. Overjet is used by a large share of the biggest DSOs, which means a mature enterprise support and rollout playbook — reassuring for a multi-location group.

Cons

• Full platform pricing is high for solos. Core AI Assist is competitive ($250–$500/month commonly cited), but the full IRIS + Voice platform runs $1,000–$3,000/month. A single-chair fee-for-service practice rarely needs all of it.
• Bigger implementation surface. The more of the platform you adopt (especially IRIS as your imaging viewer), the more this becomes a software migration rather than a feature add — training, image-archive reconciliation, and change management scale with scope.
• Overjet Voice reached GA only recently. It's maturing fast, but "reached general availability early 2026" means you're an early-ish adopter of that specific module. Pilot it on real appointments before relying on it.
• Clearance scope, same caveat as Pearl. Read the specific 510(k) for caries vs. calculus vs. periapical radiolucency and for the X-ray type — cleared claims are narrower than platform marketing.

Cost & ROI

Neither vendor publishes complete list pricing, which is normal for class II medical software sold to clinical buyers. Public references and practice-side reports give us workable ranges. Pearl's Second Opinion is commonly cited around $349/month per location via partners, sometimes with no long-term contract and occasional setup-fee promotions. Overjet's core AI Assist is commonly quoted in the $250–$500/month range, with the full platform (AI Assist + IRIS + Overjet Voice) reported between $1,000 and $3,000/month depending on features and practice size. Treat all of these as starting points, not quotes — confirm current pricing with each vendor.

The headline takeaway: for detection-only, the two are within a few hundred dollars a month of each other, and the gap between either of them and doing nothing dwarfs the gap between them. The pricing divergence only opens up when you move past detection into Overjet's full platform — at which point you're comparing "Pearl Second Opinion plus whatever analytics/documentation you bolt on" against "Overjet's all-in-one." Ask both vendors for the all-in three-year cost in writing, not the first-year promotional rate, because that's what your accountant cares about at renewal.

There is no current direct CPT code that pays differently because AI assisted the read. ROI is internal: case acceptance, treatment-plan completeness, reduced missed pathology, hours saved on documentation, and stronger clinical notes. The published case-acceptance lift from AI radiograph overlays is consistently reported in the 20–35% relative range (15–25 percentage points off a typical baseline) across Pearl, Overjet, and similar tools — but results vary heavily by baseline acceptance, payer mix, and how the dentist uses the overlay in the consult. Practices already north of 70% acceptance see smaller relative gains than practices at 30–40%, simply because the headroom is smaller.

A simple sanity check: a practice presenting $100,000/month in treatment at 50% acceptance schedules $50,000. Lifting acceptance to 60% — well within reported ranges — schedules $60,000. That $10,000/month delta covers either subscription many times over, but only if the team actually uses the overlays during patient conversations rather than leaving the AI running silently in the operatory. Practices that buy AI imaging and never put it in front of patients typically see a fraction of the published ROI, sometimes essentially none.

Payer mix matters. Heavy-PPO offices see less of the lift convert to collections because of write-offs (which can consume 20–35% of production); fee-for-service practices keep more of it. A 60% PPO / 40% FFS practice that lifts acceptance by 10 points captures noticeably less incremental cash than a 100% FFS practice with the same lift, even though the AI is doing identical work. Build that into the business case before you sign — the "pays for itself in week one" pitch is closer to true for FFS practices than for high-PPO ones.

The second ROI lever — and where Overjet's broader platform can pull ahead — is documentation time. If Overjet Voice (or Pearl Voice) reliably saves a provider even 30–45 minutes a day of charting, that's real clinical time recovered, and for a multi-provider office it compounds. Detection ROI shows up in collections; documentation ROI shows up in provider hours and burnout. Decide which one matters more to your practice before you let one vendor's bundle pricing make the choice for you.

Implementation friction

Pearl Second Opinion is the lighter rollout of the two when you adopt it as a detection tool. Imaging is routed through Pearl's processing layer, the PMS bridge is configured (Dentrix, Eaglesoft, Open Dental, etc.), and staff are trained to surface overlays during case presentation. With some partner offers carrying no long-term contract, a solo practice can realistically pilot it without a heavy procurement process. Typical timeline: pilot in weeks 1–2, full operatory rollout weeks 3–4, case-acceptance monitoring through day 90. IT involvement is usually limited to confirming image-routing and network settings plus a signed BAA. The friction rises if you also layer on Practice Intelligence (data-sync setup) and Pearl Voice (ambient-documentation training), but those are optional add-ons, not prerequisites.

Overjet scales with how much of the platform you adopt. Just AI Assist looks a lot like Pearl's rollout — route imaging, configure the PMS bridge, train on overlays. But the moment you bring in IRIS as your imaging viewer, this becomes a software migration: image-archive reconciliation, staff retraining on a new viewer, and change management for the people who open imaging software dozens of times a day. Add Overjet Voice and you're also training providers and hygienists on ambient documentation and hands-free perio charting. None of this is bad — it's the cost of consolidation — but a four-chair group adopting the full platform should plan a multi-week project, not a feature flip. Budget for it honestly.

For both: budget time for a clinical calibration session where the dentist watches a few weeks of overlays before changing how they present treatment. Practices that flip "use AI in every consult" on day one tend to overcorrect, then back off, and lose momentum. Pull a baseline metric snapshot before go-live — monthly presented treatment, case-acceptance rate, average treatment-plan size — from the prior 60–90 days. Without those numbers you cannot honestly evaluate ROI at month three.

And think about who owns the rollout internally. The single biggest predictor of whether AI imaging changes case acceptance is whether the treatment coordinator — not the dentist — is trained on how to use the overlays in patient conversation. Dentists tend to use AI as confirmation; TCs use it as visual evidence. The TC's confidence with the overlay is usually the difference between a 5% and a 25% lift in accepted treatment. For the documentation side, the equivalent question is whether your providers will actually trust and edit AI notes rather than re-typing them from scratch — pilot that behavior, don't assume it.

For deeper context on AI adoption across the rest of the practice — phone answering, recall, insurance verification, and how this fits into a 90-day plan — see our dental practice AI guide.

Which to pick

Use this decision matrix:

• Solo or small practice, goal is case acceptance, wants the lowest-friction start. Pearl. Second Opinion's commonly cited ~$349/month no-contract partner offers and broad detection breadth make it the easiest "start tomorrow" option, and the patient-facing overlay is what moves case acceptance.
• Multi-provider practice or small group that wants ONE vendor for everything. Overjet. AI Assist + IRIS + Voice consolidates diagnostics, the imaging viewer, and documentation into a single relationship. The full-platform pricing only makes sense at this scale.
• Perio-focused office where measurement drives case presentation. Overjet, narrowly. Millimeter-level quantification on the radiograph is more persuasive in a perio consult than a colored zone — but Pearl's perio detection is strong too, so demo both on your own films.
• Bilingual practice that needs Spanish-language ambient documentation. Overjet. Overjet Voice's English + Spanish support is a genuine differentiator for hands-free charting and notes.
• Practice running CBCT that wants AI on 3D volumes. Pearl. Second Opinion's 2D + 3D coverage handles CBCT in some configurations; confirm the specific clearance for volumetric reads.
• Practice with unreliable internet or an aging imaging viewer overdue for replacement. Overjet. IRIS's offline mode plus AI-native viewer solves two problems at once — Pearl requires connectivity for the analysis and doesn't replace your viewer.
• Practice that wants built-in analytics without a separate subscription. Pearl. Practice Intelligence may cover what you'd otherwise buy from a dedicated analytics platform.

If both options look workable on paper, the deciding factor is usually scope and rep. Pearl wins on time-to-value if all you want is detection and case acceptance. Overjet wins on consolidation if you're willing to run a real implementation to get diagnostics, imaging, and documentation under one contract. Both vendors will demo against the same set of your radiographs — insist on that side-by-side before signing. Send each vendor 30–50 anonymized bitewings and periapicals from real patients (mix of obvious caries, subtle interproximals, and clean films) and have your dentist score the overlays blind. Sensitivity, false-positive rate, and overlay readability are far more visible on your own data than in a curated demo deck.

A second guardrail: read the cancellation clause before you read the pricing. The biggest regret stories in dental AI aren't "the tool didn't work" — they're "the tool worked fine but I'm locked into a 36-month contract." Pearl's no-contract partner offers are an advantage here; with Overjet's larger platform deals, negotiate an annual term or a clean break clause at month 12. Both vendors will resist; both will sometimes agree, especially if the alternative is losing the deal.

What about DEXIS AI, VideaHealth, and other competitors?

This is not a two-horse race, and the lines between vendors blur fast.

• DEXIS AI is, under the hood, Pearl's models delivered inside Henry Schein's DEXIS imaging suite. If you're already on DEXIS sensors and Dentrix, "DEXIS AI" is how you'd experience Pearl — but you'd be coupling the AI to Henry Schein hardware. Buying Pearl direct (this comparison's premise) gets you the same engine without the lock-in. Economically the two are often similar; the difference is rep relationship and portability.
• VideaHealth (now "Videa") is another FDA-cleared independent, historically DSO-focused, that expanded to private practices in 2026. It's the engine inside Dentrix Ascend's "Detect AI" in many configurations. Worth a serious look, especially for Ascend practices — but pilot it, since the private-practice offering is new.
• Diagnocat leans heavily into 3D / CBCT analysis. If volumetric AI is your priority, it's in a different lane than either Pearl or Overjet on the 2D side.

The category will keep consolidating. Don't sign a multi-year exclusive that locks you out of switching when a better-fit tool ships in 18 months.

Frequently Asked Questions

Is Pearl or Overjet more accurate?

The published accuracy ranges overlap heavily, and head-to-head studies under identical conditions are rare. Pearl markets a strong independently validated accuracy figure and the broadest condition breadth; Overjet emphasizes quantified, millimeter-level measurement and has deep DSO validation. For a typical general practice, the real-world difference is much smaller than the difference in workflow fit — the better tool is the one your team actually uses every appointment. Ask both vendors to run their model on a sample of your own anonymized radiographs and compare overlays against your dentist's reads. Pay particular attention to false positives on early interproximal lesions and to how each handles overlapping contacts; that's where the variance shows up, not in the slides.

Pearl powers DEXIS AI — so why buy Pearl directly instead?

Because buying Pearl direct keeps you sensor- and hardware-agnostic. DEXIS AI delivers Pearl's models inside Henry Schein's DEXIS imaging stack, which is lowest-friction if you already run DEXIS sensors and Dentrix — but it couples your AI to that hardware. Buying Pearl Second Opinion directly lets you integrate the same engine with whatever sensors and PMS you already own (Dentrix, Eaglesoft, Open Dental, Curve, etc.) and avoid being tied to one hardware vendor at renewal. For practices not standardized on Henry Schein hardware, direct is almost always the cleaner path.

Does either Pearl or Overjet require new sensors?

No. Both are sensor-agnostic and work with the digital radiographs your existing sensors already produce — that's the central reason this pairing exists separate from the DEXIS/Dentrix bundles. The one hardware prerequisite is that you need digital sensors, not film. Overjet's IRIS additionally can replace your imaging viewer software, but that's a software change, not a sensor change.

Will my insurer pay differently if I use AI imaging?

Generally not directly. There is no widely adopted CPT code that reimburses differently because an AI assisted the read. Some insurers use AI internally for claim review, but at the practice level you should not plan on AI imaging changing your reimbursement. The ROI is internal — case acceptance, treatment-plan completeness, documentation time saved, and clinician confidence — not new payer revenue.

Can I run both Pearl and Overjet in the same practice?

Technically possible, rarely a good idea long-term. Two AI overlays on the same radiograph create cognitive load for the dentist and confusion for the patient during case presentation. Pick one and use it well. The legitimate exception is a 30–60 day pilot where you explicitly run both on the same patients to compare sensitivity, false-positive rate, and overlay readability before committing to a longer contract on one of them.

How long does AI imaging adoption take?

A reasonable rule of thumb: 30 days of pilot with one operatory and one dentist, 60 days to roll out across all operatories, 90 days before case-acceptance metrics stabilize enough to evaluate ROI. Pearl Second Opinion as a detection-only tool sits at the fast end of that range. Overjet's full platform — especially if you adopt IRIS as your imaging viewer or roll out Voice across providers — sits at the slower end because it's closer to a software migration than a feature add. Either way, a staged rollout beats flipping everything on in week one, which almost always triggers a week-three regression as staff push back.

Is patient consent required for AI-assisted imaging?

Specific consent requirements depend on your state dental board and your malpractice carrier — confirm with both. Most practices update their general consent to disclose that AI software may assist the dentist in reviewing radiographs, alongside the existing language about digital imaging. The AI is not making the diagnosis; the dentist is. That framing matters clinically and legally. Patients almost universally react positively when AI overlays are explained as "a second set of eyes for your dentist," not as the diagnostic source. Keep the consent language matter-of-fact — over-explaining it sometimes creates concern that wasn't there before.

Are Pearl and Overjet HIPAA-compliant?

Yes. Both operate under HIPAA business associate agreements (BAAs) with their dental-practice customers, and both are sold as compliant for use with protected health information. Get the signed BAA before any patient images leave your network, and confirm in writing how long images are retained, where they're stored, and who at the vendor has access. This is standard for clinical software but easy to forget in the excitement of a demo — and it applies equally to Pearl Voice and Overjet Voice, which process recorded patient conversations.

Will using AI imaging affect malpractice exposure?

The honest answer is "ask your carrier." Most malpractice insurers treat FDA-cleared decision-support software as the dentist's responsibility, similar to any other diagnostic aid: the dentist makes the final call. Some carriers actively encourage AI as risk-reducing because it helps catch findings that might otherwise be missed. The risk profile to watch is not running AI on a radiograph, having it flag a finding, the dentist overriding the flag without documentation, and the patient later having a problem in that area. Document overrides exactly as you'd document any clinical decision that disagrees with a diagnostic input — that habit applies identically whether you choose Pearl or Overjet.