Before the visit
An appointment from the practice calendar or an authorized Doctolib connection triggers an intake form. Doctolib is a widely used French booking platform. The practice reviews medications, allergies and the reason for the visit.
Dentists already explain their findings to patients. CodeN is building a $79/month agent that listens with permission, drafts the chart and prepares the follow-up. The dentist reviews it.
See the tested case ↘
01 / Legacy software vs. CodeN
Same finding: decay on a lower molar. Here is how the work differs.
An incumbent product dates to 1983. Left: English reconstruction of a 2019 competitor manual, not a screenshot of its current release. Right: CodeN concept; the text-to-chart workflow has been tested.
02 / Inside the legacy workflow
The tooth chart records where the problem is. It doesn’t, by itself, describe what the patient felt, price a procedure or explain the next step to the patient.
CodeN’s proposed shortcut: use the reviewed encounter as the source for the chart, the note and the follow-up draft. The dentist checks the result instead of entering the same facts again.
English reconstructions of documented manual workflows, with illustrative data. Sources: procedure setup guide, p. 18 and practice software manual, pp. 59–60 and 156. Templates, attachments and automation vary by product and version.
03 / Inside CodeN
Follow one fictional exam from the full dental chart to the selected tooth and the note ready for review.
Start with the patient, both arches and the clinical summary in one view.
Select the surfaces, record the finding and check the wording that supports it.
Read the narrative beside the proposed chart changes before confirming the update.
English design previews using fictional data. The tooth chart and anatomical illustrations are rendered from CodeN’s own components; the surrounding screens illustrate the intended workflow.
04 / The product
With the patient’s permission, the dentist talks to the patient as usual. CodeN’s goal is to turn that exchange into reviewable work while the details are still fresh.
In the tested case“Occlusodistal” on tooth 36 became two charted surfaces on one tooth. “Sensitive to cold” stayed in the note as a patient-reported symptom. A planned X-ray stayed a plan.
Demonstrated: French text to a reviewed note and tooth chart using the real model. Pilot questions: Can ambient capture recover the findings dentists naturally say? Our 95% spoken-coverage estimate and the time saved after review have not yet been measured in practice.
05 / The intended patient journey
One record carries the reason for the visit, the medical history, the exam and the next steps. The goal is to finish more of the administrative work while the dentist is still with the patient.
An appointment from the practice calendar or an authorized Doctolib connection triggers an intake form. Doctolib is a widely used French booking platform. The practice reviews medications, allergies and the reason for the visit.
After the patient agrees, the dentist turns on the microphone. The planned ambient workflow listens for speech, separates speakers and lets the dentist pause or stop. If the patient declines, manual charting remains available.
CodeN prepares the note, estimate, prescription draft and follow-up tasks from what the dentist actually decided. The dentist can add unspoken findings and approve or discard each item.
The documented clinical test started with natural-language text. Ambient audio capture during patient visits and a live Doctolib connection have not been validated.
06 / Practice operations
A draft, a signed document, a submitted claim and a payment are different events. CodeN is designed to track which one actually happened.
The claims engine operates in simulation. Live payer submission, electronic signatures, patient delivery and supplier orders require production integrations.
07 / Product evidence · October 27, 2026
Tooth 36 has a cavitated lesion on the occlusal and distal surfaces. The patient reports sensitivity to cold.
English translation of an excerpt from the fictional French exam submitted to Qwen. FDI 36 is the lower left first molar (U.S. tooth #19).
36Decay mapped to the chewing surface and the side facing away from the midline.
46Missing tooth; no cause inferred.
31/32
41/42Tartar mapped to the tongue-facing surfaces of the four lower incisors.
NoteThe full narrative retained the symptoms, negative findings and planned X-rays.
Internal Windows qualification: 263 targeted tests passed. The exam used the real model, synthetic data and a separate test confirmation. No clinical efficacy study or in-office latency result is claimed.
08 / French market size
We size the existing market using estimated recurring spend on the incumbent software stack. CodeN’s own subscription price does not enter this calculation.
Estimated national annual run rate: 48,690 active dentists × about $335 per month × 12. Equivalent to $16.31M per month.
French health statistics agency · 2026 workforceEstimated annual run rate for the initial private-practice segment: 40,083 private or mixed-practice dentists × about $335 × 12. Equivalent to $13.43M per month.
French provider registry · practice settingAbout $335 is our working estimate of combined incumbent subscriptions per dentist, not an audited national average or a vendor revenue total. Shared licenses and group purchasing can lower the per-dentist figure. At roughly $223–$447 per month, the national estimate ranges from $130.5M to $260.9M annually.
For scale, French private practices delivered $14.7B in dental care in 2024. Clinical spending is separate from software spending. French figures are expressed in U.S. dollars at the November 6, 2026 ECB rate of US$1.1165 per euro; calculations precede rounding.
09 / Worldwide and U.S. market size
Dental practice management software covers the core systems practices use for scheduling, patient records and billing. In 2025, estimated U.S. revenue reached $990M, leaving roughly $1.37B across the rest of the world.
| Market | 2025 estimate | 2026 estimate | 2031 forecast |
|---|---|---|---|
| Worldwide | $2.36B | $2.62B | $4.44B |
| United States | $0.99B | $1.09B | $1.69B |
The American Dental Association counted 205,088 dentists working in dentistry in 2025. After validating the French product, CodeN could test its clinical workflow with U.S. practices before investing in local claims integration. The forecast is for the category, not CodeN sales.
How to read the figures. The worldwide and U.S. estimates come from Mordor Intelligence. The U.S. is included in the global total. These are market revenue estimates, not audited subscription ARR. France’s preceding estimate models a broader bundle of tools and should not be added to or divided by these figures. Other 2025 global estimates include $1.96B (Fortune Business Insights) and $2.63B (Global Market Insights).
10 / Competitive landscape
A practice may use LOGOSw or Julie for its core record, La Fraise for estimate follow-up, and a separate inventory system. Some practices already bundle several functions in one license.
Incumbents also offer AI. The test for CodeN is whether one subscription can replace overlapping products and reliably turn a reviewed finding into work completed in the practice system.
GIE SESAM-Vitale · September 2026, dentists, by software product. Denominator: 39,572 filers. This measures electronic billing use, not share of revenue or number of practices. More than one product can belong to the same company.
11 / What the dentist pays
One core system such as LOGOSw or Julie, plus any separate subscriptions for inventory, estimates and patient follow-up. Estimated combined spend per dentist.
One planned subscription for charting, the voice agent, estimates, patient follow-up, billing workflows, inventory and purchasing. $948 per year.
Count only subscriptions the practice can cancel, on the same tax basis. Exclude any retained third-party services.
Price checks: practice software about $76/month per dentist; inventory about $32/month per practice; La Fraise estimates and follow-up priced by quote. The $335 benchmark is a working estimate, not a measured average. Savings use the rounded $335 comparison.
12 / Unit economics · Per dentist per month
One successful synthetic exam used 47,545 input tokens and 2,246 output tokens across three calls. At uncached API list prices, that is about four cents per exam.
In the base case, 74.6% of revenue remains after text and speech. To reach a 65% gross margin, all other direct costs must fit within $7.57 per dentist per month, including hosting, support, transaction fees and integration costs.
Illustrative usage, not a customer average. Rates: about $0.67 per million input tokens, $3.68 per million output tokens and $0.00335 per audio minute. No free tier or caching assumed. Additional actions, retries and longer visits raise costs. Private GPU hosting requires a separate utilization model. Scaleway list prices; calculations use unrounded rates.
13 / Architecture and health data
The intended experience includes a visible recording indicator, speech detection, pause and stop controls. The dentist can always enter information manually.
The model receives only relevant record data and authorized tools. It can resolve an unambiguous reference, ask about a material uncertainty and leave unknown facts unrecorded.
The application checks patient identity, access rights, source and record version. In the clinical test, confirmation saved the narrative and structured findings together.
The prototype called Qwen through Scaleway’s API on synthetic data. The intended clinical deployment runs Qwen privately near the records within a French HDS-certified hosting environment. HDS is France’s health data hosting certification; CodeN does not claim a certified production deployment today.
Deployment work includes legal basis, data retention, security review and a privacy impact assessment where required. French Digital Health Agency: HDS / French health and privacy authorities: AI in care.
14 / International expansion
Examining teeth, recording findings and explaining a treatment plan are recognizable across markets. Who pays, which codes are accepted and how a claim gets approved are local questions.
France is the reimbursement system the team knows best. The product is designed to connect practices to national public health insurance and supplemental insurers, including mutual insurers. Approved claims, payer responses and remittances must reconcile with the patient ledger.
Carry the exam narrative, tooth-and-surface mapping, review controls and task history into the next market. Localize language, terminology, numbering, prescribing rules and consent before clinical use.
For every new market, map eligibility, procedure codes, fees and claims formats; secure payer or clearinghouse access and test rejection and payment flows. In the U.S., examples include the 837D dental claim and 835 remittance.
The goal is rapid expansion after French validation. Launch in each country depends on local approvals and successful end-to-end payer testing. Live public or supplemental payer connectivity is not claimed. France: billing software approval / U.S.: CMS dental claims guide.
15 / Proposed corporate structure
Investors would buy shares here. The parent would raise capital, own CodeN’s proprietary software and brand, and license the platform to its operating subsidiaries.
The French subsidiary would sign customer contracts, sell and support CodeN, and adapt billing to French public and supplemental insurers.
Each subsidiary would distribute the same software under license and handle local contracts, payer integrations and country-specific compliance work.
Implementation requires legal and tax review of IP assignments, tax residence and intercompany license terms. Each entity retains the obligations that apply to its role. U.S. venture financing · French SASU.
16 / Investment and go-to-market
Investment would fund the move from a tested Windows prototype to daily chairside use, starting with independently owned French practices where the buyer is also a user.
Recruit pilot sites through chairside demos and professional referrals. Review their software invoices and identify subscriptions they could cancel. Time the same visit types before and after adoption.
Measure what dentists say without prompting, what the agent misses, corrections required, and net time saved after review. Track patient-facing time separately. Target under 30 seconds for 95% of simple actions.
At $79 per month, 1,000 paying dentists would generate $79,000 in monthly recurring revenue, or $948,000 annually. Track conversion, retention and actual delivery cost before scaling. Expand payer and supplier connections only as partners and technical requirements are verified.
The pilot succeeds if dentists can spend more of each visit with the patient, review an accurate chart and retire software subscriptions without shifting work to the front desk.
Investor diligence: a live demonstration using a fictional case of your choice, followed by a review of the pilot protocol, unit economics and payer integration milestones.
17 / References
Windows qualification, October 27, 2026: 263 targeted tests and one successful live-model exam on synthetic data. The images are English reconstructions. The 95% speech coverage estimate, $335 incumbent budget and savings comparison are assumptions to verify in the pilot.
Cost sources: Scaleway Qwen and speech API pricing · ECB exchange-rate series. Incumbent product history: Julie corporate timeline.
18 / From the founder
I started in sales and went on to serve as a sales director. I also founded an AI software-as-a-service company. With CodeN, I’m bringing those two parts of my career together: building the software and understanding why a practice would switch to it.
Corentin and Paul are practicing dentists in France with different specialties. Both are involved in developing CodeN. Their two perspectives help us ask a practical question: does this give dentists more time with the patient, or just another screen to manage?
I’d welcome the chance to show you the product. Bring a fictional case, and we’ll walk through what CodeN can do today and what the pilot is designed to prove.