The origin of Overjet is a familiar kind of dental suspense: two dentists, one mouth, two treatment plans. Wardah Inam had changed providers and was handed a recommendation that did not resemble the previous one. An electrical engineer with a doctorate from MIT and experience in biomedical sensing, she did what most patients cannot. She asked for the X-rays, read up on dentistry and started interrogating the pixels.
Her first theory did not survive contact with the data. Inam has said she expected to find overdiagnosis. Instead, what caught her attention was underdiagnosis and variation - lesions that were hard to see, measurements that differed, and clinical judgments made under time pressure. Dentistry uses low radiation for good reason, but that can yield subtle images. A busy clinician may also be moving between a bright operatory and a darker screen. The gray smudge that is obvious to one person may be invisible to another.
In 2018, Inam joined computer scientists from MIT and dentists from Harvard to start Overjet at Harvard Innovation Labs. The company trained computer-vision systems to inspect dental radiographs and turn ambiguous shades into outlines, labels and measurements. Its mission is concise: improve oral health outcomes for all. Its commercial plan has become much larger - build a common operating layer for practices, dental groups, insurers and, indirectly, patients.
“The communication bit is key.”Wardah Inam, founder and CEO
01The boring beachhead
The colorful chairside demonstration is the part made for social media. Overjet's first meaningful wedge was less photogenic: dental insurance. Early payer customers used its analysis to support utilization review, claims selection and payment-integrity work. Two pilots showed the system could work. Inam later recalled that more insurers began sending requests for proposals and that Overjet won the ones it entered. Revenue followed the signal, not the other way around.
This sequence matters. Insurers process enough claims to feel inconsistency as a line item. They can compare reviewer behavior, turnaround time and patterns across a large book of business. Overjet therefore started where the pain was measurable. In 2021 it bought American Dental Examiners, a claims-review business founded in 1980, adding a licensed national network of dental reviewers to the software. The acquisition let Overjet sell more than an algorithm: it could sell the surrounding service.
The move into the dental practice required a different permission slip. In May 2021, the U.S. Food and Drug Administration cleared Dental Assist to help professionals measure mesial and distal bone levels on bitewing and periapical radiographs. In company testing, its automated measurements differed from an adjudicated dentist consensus by an average of 0.3 millimeters. Later clearances expanded the menu. By late 2025, Overjet described a portfolio of seven FDA clearances covering capabilities such as caries, bone levels, calculus, periapical radiolucencies and image enhancement.
A clearance belongs to a specific product and indication, not to every pixel the company can produce. Overjet is decision support. It can point, outline and quantify; a dentist still diagnoses. That distinction is less exciting than “AI dentist,” and far more useful.
02A shared language, sold four ways
For a private practice, Overjet can be a second set of eyes and a patient-education prop. The patient who sees a red outline around possible decay does not need to master radiology before asking a sensible question. For a dental service organization, the product is standardization: one method for comparing treatment-planning patterns across dozens or hundreds of locations. For an insurer, it is faster and more consistent review. For an educator, it is a repeatable visual aid.
That is how a narrow imaging product becomes a suite. The Clinical Intelligence Platform combines radiograph analysis with practice and DSO analytics. IRIS improves image presentation. Insurance verification brings eligibility and benefits into the workflow. The credentialing suite handles provider onboarding and data management. The Dental Clarity Network, launched in 2025 with insurers including MetLife, Humana and Guardian and provider groups including Dental Care Alliance, introduced ReviewPASS. The aim is for eligible procedures to skip manual insurance review so the office can discuss likely coverage while the patient is still there.
In December 2025, Overjet acquired DentalBee and added voice documentation. Overjet Voice turns spoken observations into structured notes, periodontal charts and letters. The product map now follows the visit almost in order: inspect the image, explain the finding, capture the note, verify the benefits, submit the claim, manage the reviewer.
The customers named publicly range from individual offices to multi-location groups such as Dental Care Alliance and The Smilist. In February 2026, mydentist selected Overjet for deployment across its UK practices, described by the companies as the largest dental AI rollout in the country. An announced Carestream Dental partnership is intended to put Overjet analysis natively inside Sensei software rather than ask a clinician to hop between windows.
The company sells subscriptions and enterprise agreements through a sales process. It does not present a dependable universal price card. The relevant cost is therefore broader than a monthly license: integration, training, change management and the time required to audit whether the software is improving care or merely producing more colorful meetings. Public third-party estimates vary enough to be treated as directional, not contractual.
03What roughly $156 million bought
Overjet has raised about $156 million according to the supplied company record, while its own site says more than $130 million. The disclosed path includes a $7.85 million seed round in 2020, a $27 million Series A and $42.5 million Series B in 2021, a $53.2 million Series C in 2024, and a roughly $25 million extension reported in late 2025. The Series C valued the business at a reported $550 million. March Capital led that round; General Catalyst, Insight Partners, Crosslink Capital, E14 Fund and the American Dental Association were among the participants.
The money bought regulatory work, enterprise distribution and adjacent capabilities. The two acquisitions are especially revealing. American Dental Examiners supplied licensed human infrastructure around claims. DentalBee supplied the spoken record around care. Overjet is not trying to win a single image-reading contest. It is trying to own the handoffs where evidence becomes a conversation, a note or a payment.
Case studies published by the company report a range of outcomes: a 13-times return at one Signature Dental Partners office, 21 percent fewer claim denials at Total Dental Care using Voice, and treatment-planning or production gains at other practices. These are useful examples, not universal laws. A case study selects a success; a buyer still needs a baseline, a control period and a definition of what counts as incremental treatment rather than treatment shifted in time.
04What founders can steal
The most copyable Overjet move is not the neural network. It is the order of operations. Start with the customer who can quantify the pain. Use that customer's volume to test the product. Earn regulatory or operational permission to move closer to the end user. Then expand along the workflow, preferably into handoffs where the existing data can do another job.
The second move is to turn a demo into a common language. “The AI is accurate” is an abstract pitch. “The dentist, patient and payer can point to the same measured area” is a coordination pitch. Coordination products are sticky because replacing them means retraining several parties, not one.
The third move is knowing when software needs service. Buying American Dental Examiners acknowledged that regulated claims work did not disappear because a model arrived. Humans, licenses and accountability still mattered. The lesson is almost old-fashioned: if your automation enters a consequential workflow, sell the bridge, not just the engine.
Images are consistent, integrations stay inside the normal workflow, teams are trained and outcomes are measured against a real baseline.
Low-quality radiographs produce noisy cues, clinicians must switch systems, or the overlay is treated as an autonomous diagnosis.
Prove value in the least glamorous place where the pain has a number. Expand only after the data earns permission.
A sales-led enterprise suite is a heavy machine. Small offices need enough volume and operational discipline to justify it.
05The real contest
Overjet competes directly with dental AI companies including Pearl, VideaHealth, Denti.AI and Diagnocat. It also competes with the status quo: a good dentist's eyes, a radiologist, a practice-management dashboard, an outsourced verification team and a spreadsheet. Its differentiation is the breadth across providers and payers, plus the attempt to connect imaging, documentation and reimbursement.
That breadth creates the strategic opportunity and the uncomfortable question. The same platform that helps a practice explain treatment may also help a payer review whether to reimburse it. Shared evidence can reduce friction; it can also expose genuine disagreement about thresholds, necessity and incentives. Overjet's claim is that objective measurements improve the argument. They do not eliminate the argument.
The company's published culture mirrors the product strategy: distributed teams with hubs, speed, ownership, ambitious targets and what it calls win-win outcomes. It says clinicians work beside engineers and that employees receive visibility into company financials. That cross-disciplinary setup is sensible for medical software. A model that looks impressive to an engineer but interrupts a hygienist's routine will lose to the routine.
Overjet's story began with two treatment plans and a founder asking which picture of reality was right. Eight years later, the company has made that question into an enterprise platform. The colorful annotations are still the easiest part to understand. The deeper product is agreement - or at least a better-informed disagreement - at every point where a tooth becomes a diagnosis, a conversation and a bill.